Tin Lun LAM
B.Eng. (CUHK) | Ph.D. (CUHK) | IEEE Senior Member | World's Top 2% Scientists
tllam@cuhk.edu.cn | tinlun.lam@ieee.org | Linkedin | Twitter | Google Scholar | ORCID
Associate Professor, The Chinese University of Hong Kong, Shenzhen
Executive Deputy Director, the National-local Joint Engineering Laboratory of Robotics and Intelligent Manufacturing
Director, Center for Intelligent Robots, Shenzhen Institute of Artificial Intelligence and Robotics for Society
Vice Chair, IEEE Robotics and Automation Society Guangzhou Chapter
Associate Editor, IEEE Transactions on Robotics (T-RO)
Associate Editor, IEEE Transactions on Automation Science and Engineering (T-ASE)
Technical Editor, IEEE/ASME Transactions on Mechatronics (TMECH)
Associate Editor, Journal of Field Robotics (JFR)
Research Interests: Field Robotics, Multi-robot Collaboration, Modular Robots, Mechanism Design
Research Group: Freeform Robotics | YouTube | BiliBili
Biography
Tin Lun LAM is an Associate Professor - Presidential Young Fellow at The Chinese University of Hong Kong, Shenzhen, an Executive Deputy Director of the National-local Joint Engineering Laboratory of Robotics and Intelligent Manufacturing, a Director of the Center for Intelligent Robots at Shenzhen Institute of Artificial Intelligence and Robotics for Society, Senior Member of IEEE and a Vice Chair of IEEE Robotics and Automation Society Guangzhou Chapter. He serves as an Associate Editor of IEEE Transactions on Robotics (T-RO), IEEE Transactions on Automation Science and Engineering (T-ASE), and Journal of Field Robotics (JFR), and a Technical Editor for IEEE/ASME Transactions on Mechatronics (TMECH). He received his B.Eng. Degree with First Class Honors and Ph.D. Degree in Robotics and Automation from The Chinese University of Hong Kong in 2006 and 2010, respectively. His research focuses on field robotics, Multi-robot Collaboration, Modular Robots, and Mechanism Design. He has authored and co-authored 4 books and published more than 80 research papers in top-tier international journals and conference proceedings in Robotics and AI, including Nature Communications, T-RO, IJRR, JFR, TMECH, TPAMI, TIP, RA-L, ICRA, and IROS. He has been granted more than 90 patents. He received the IEEE/ASME TMECH Best Paper Award in 2011, the IEEE/RSJ IROS Best Paper Award on Robot Mechanisms and Design in 2020, the Xiong Youlun Zhihu Excellent Youth Scientist Award in 2023, and the Distinguished Young Scholars Fund from Guangdong Natural Science Foundation in 2023, IEEE ICRA Best Conference Paper Award - Finalist in 2025, and recognized in Stanford/Elsevier's World's Top 2% Scientists (2025). His research findings were featured in numerous globally recognized media outlets, such as Reuters, Forbes, Discovery, IEEE Spectrum, CCTV, Nikkei, and NHK.
Selected Projects
Freeform Robot
Modular self-reconfigurable robotic systems possess strong self-adaptation and self-healing capabilities, enabling them to cope with various tasks in complex and dynamic environments. Most existing modular self-reconfigurable robots have connection constraints on the mechanical structure. Their relative positioning and motion planning capabilities are also limited to structured environments, which differ from real and changing environments. To break these limitations, this project aims to develop key technologies for modular self-reconfiguration robots to be applied in unstructured environments. The research results can provide a theoretical and technical foundation for the development of swarm robots and field robots, and can also be widely applied in various areas, including search and rescue, space exploration, and others.
[2020 IROS Best Paper Award on Robot Mechanisms and Design]
Metal Spheres Swarm Together to Create Freeform Modular Robots - IEEE Spectrum
Magnetic FreeBOT orbs work together to climb large obstacles - Engadget
Yuxiao Tu, Guanqi Liang, Di Wu, Xinzhuo Li, Tin Lun Lam, “Locomotion and Self-reconfiguration Autonomy for Spherical Freeform Modular Robots,” International Journal of Robotics Research (IJRR), July, 2025. [paper] [video]
Da Zhao, Haobo Luo, Yuxiao Tu, Chongxi Meng, Tin Lun Lam, “Snail-Inspired Robotic Swarms: A Hybrid Connector Drives Collective Adaptation in Unstructured Outdoor Environments,” Nature Communications, April 29, 2024. [paper] [video]
Guanqi Liang, Haobo Luo, Ming Li, Huihuan Qian and Tin Lun Lam, “FreeBOT: A Freeform Modular Self-reconfigurable Robot with Arbitrary Connection Point – Design and Implementation,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA (Virtual), October 25-29, 2020. [paper] [video]
Multi-robot Self-contained Relative Localization
Recent years have seen a surge of interest in the field of multi-robot relative localization within the robotics community. It’s worth noting that robots can operate across a broad spectrum of distances, ranging from direct contact at 0mm to over 100 meters. Moreover, each robot can function independently within the workspace. Given that no single method offers sufficient accuracy across the full range, we address various segments of localization using unique approaches. In our exploration of relative localization techniques, we evaluate the utility of magnetic arrays, direct vision detection and measurement, Ultra-wideband (UWB), and visual semantic landmarks.
[2025 IEEE ICRA Best Conference Paper Award - Finalist]
Yuming Liu, Qiu Zheng, Yuxiao Tu, Yuan Gao, Guanqi Liang, Tin Lun Lam, "Configuration-Adaptive Visual Relative Localization for Spherical Modular Self-Reconfigurable Robots," Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, May 19 - 23, 2025. [paper] [video]
Yuxiao Tu, Tin Lun Lam, "Configuration Identification for a Freeform Modular Self-reconfigurable Robot - FreeSN," IEEE Transactions on Robotics (T-RO), August 2023. [paper] [video]
Yue Wang, Muhan Lin, Xinyi Xie, Yuan Gao, Fuqin Deng, Tin Lun Lam, “Asymptotically Efficient Estimator for Range-based Robot Relative Localization,” IEEE/ASME Transactions on Mechatronics (TMECH), June 2023. [paper] [video]
Collaborative Loco-manipulation
The collaboration between the University of Edinburgh (UoE) and Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS) aims at fundamental and applied research in artificial intelligence and robotics. The current research focuses on three scientific pillars: Multi-Contact Planning and Control, Multi-Agent Collaborative Manipulation, and Robot Perception.
PI: Prof. Sethu Vijayakumar (UoE), Prof. Tin Lun Lam (AIRS)
More information: https://airs.cuhk.edu.cn/en/page/357
http://web.inf.ed.ac.uk/slmc/research/projects-and-grants/uoe-airs-joint-project
Lai Wei, Yanzhe Wang, Yibo Hu, Tin Lun Lam, Yanding Wei, "Online Dual Robot-Human Collaboration Trajectory Generation by Convex Optimization," Robotics and Computer-Integrated Manufacturing (RCIM), Volume 91, February 2025, 102850. [paper]
Xiaoyu Zhang, Lei Yan, Tin Lun Lam, Sethu Vijayakumar, “Task-Space Decomposed Motion Planning Framework for Multi-Robot Loco-Manipulation,” Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Xian, China, May 30 – June 5, 2021. [paper] [video]
Zhangjie Tu, Tianwei Zhang, Lei Yan, Tin Lun Lam, “Whole-Body Control for Velocity-Controlled Mobile Collaborative Robots Using Coupling Dynamic Movement Primitives,” Proceedings of the IEEE-RAS International Conference on Humanoid Robots (Humanoids), Okinawa, Japan, November 28-30, 2022. [paper] [video]
Chongxi Meng, Tianwei Zhang, Tin Lun Lam, “Fast and Comfortable Interactive Robot-to-Human Object Handover,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, October 23-27, 2022. [paper] [video]
Heterogeneous Multi-robot Planning
A heterogeneous multi-robot cooperative system comprises a team of robots with diverse configurations that can collaborate to accomplish complex tasks in dynamic environments. We study the problems of accurate modeling, real-time solving, and dynamic adaptation for the collaborative planning problem of heterogeneous multi-robot systems. By constructing a constrained multi-task assignment and scheduling model, we use operations research algorithms and machine learning techniques to solve and analyze specific scenario tasks. The research results offer theoretical support for the application of robots in complex and dynamic environments within real-world settings. Future application scenarios include unmanned mines, security, anti-terrorism, dynamic path planning, human-machine co-adaptation, etc.
Yuan Gao, Junfeng Chen, Xi Chen, Chongyang Wang, Junjie Hu, Fuqin Deng, Tin Lun Lam, “Asymmetric Self-Play-Enabled Intelligent Heterogeneous Multirobot Catching System Using Deep Multiagent Reinforcement Learning,” IEEE Transactions on Robotics (T-RO), April 2023. [paper] [video]
Hoi-Yin Lee, Peng Zhou, Bin Zhang, Liuming Qiu, Bowen Fan, Anqing Duan, Jingtao Tang, Tin Lun Lam, and David Navarro-Alarcon, "A Distributed Dynamic Framework to Allocate Collaborative Tasks Based on Capability Matching in Heterogeneous Multi-Robot Systems," IEEE Transactions on Cognitive and Developmental Systems (TCDS), April 2023. [paper] [video]
Junjie Lu, Bi Zeng, Jingtao Tang, Tin Lun Lam, Junbin Wen, “TMSTC*: A Path Planning Algorithm for Minimizing Turns in Multi-robot Coverage,” IEEE Robotics and Automation Letters (RA-L), July 2023. [paper]
Jingtao Tang, Yuan Gao, Tin Lun Lam, “Learning to Coordinate for a Worker-Station Multi-robot System in Planar Coverage Tasks,” IEEE Robotics and Automation Letters (RA-L), October 2022. [paper] [video]
Multi-robot Environment Perception
In multi-robot systems, environment perception and data fusion from different sources are crucial for effective collaboration. This research aims to address the challenges associated with data matching and visual interference in such systems, focusing on three main issues:
1. Data Matching Difficulty due to Time Differences: The difference in data collection times can lead to variations in lighting conditions, making it challenging to match and fuse data from multiple sources.
2. Data Matching Difficulty due to Viewpoint Differences: The different perspectives from which robots collect data can cause inconsistencies, making it difficult to match and integrate the information for a comprehensive understanding of the environment.
3. Visual Interference among Robots in the Same Environment: As multiple robots move and operate within the same environment, they may generate visual interference with each other, further complicating data matching and fusion processes.
This study aims to propose solutions to overcome these challenges and improve the overall performance of multi-robot collaborative systems in complex environments.
Junjie Hu, Chenyou Fan, Mete Ozay, Qing Gao, Yulan Guo, Tin Lun Lam, “Robust Depth Estimation Under Sensor Degradations: A Multi-Sensor Fusion Perspective,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), June 2025. [paper]
Junjie Hu, Chenyou Fan, Mete Ozay, Hua Feng, Yuan Gao, Tin Lun Lam, “Unlocking Drone Perception in Low AGL Heights: Progressive Semi-Supervised Learning for Ground-to-Aerial Perception Knowledge Transfer,” IEEE Transactions on Intelligent Transportation Systems (TITS), May 2025. [paper]
Ran Long, Christian Rauch, Tianwei Zhang, Vladimir Ivan, Tin Lun Lam, Sethu Vijayakumar, “RGB-D SLAM in Indoor Planar Environments with Multiple Large Dynamic Objects,” IEEE Robotics and Automation Letters (RA-L), June 2022. [paper] [video]
Xiyue Guo, Junjie Hu, Junfeng Chen, Fuqin Deng, Tin Lun Lam, “Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment,” IEEE Robotics and Automation Letters (RA-L), October 2021. [paper] [code] [video]
Junjie Hu, Xiyue Guo, Junfeng Chen, Guanqi Liang, Fuqin Deng, Tin Lun Lam, “A Two-stage Unsupervised Approach for Low light Image Enhancement, ”IEEE Robotics and Automation Letters (RA-L), October 2021. [paper] [video]
Inflatable Robotic Arm and Finger
In this project, the mechanical design and implementation of a low-cost and lightweight inflatable robotic arm and finger are proposed. The proposed inflatable arm and finger utilize a common and low-cost inflatable material, allowing for easy and mass production. The inflatable arm can operate by pumping air at very low pressure, allowing for direct and soft human contact without the need for external force sensors.
Ronghuai Qi, Amir Khajepour, William W Melek, Tin Lun Lam, Yangsheng Xu, "Design, Kinematics, and Control of a Multijoint Soft Inflatable Arm for Human-Safe Interaction," IEEE Transactions on Robotics (T-RO), vol. 33, no. 3, pp. 594-609, June 2017. [paper] [video]
Ronghuai Qi, Tin Lun Lam, and Yangsheng Xu, “Design and Implementation of a Low-Cost and Lightweight Inflatable Robot Finger,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Chicago, Illinois, USA, pp. 28-33, September 14-18, 2014. [paper] [video]
Ronghuai Qi, Tin Lun Lam, and Yangsheng Xu, “Mechanical design and implementation of a soft inflatable robot arm for safe human-robot interaction," Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, pp. 3490-3495, May 31 - June 5, 2014. [paper]
Tree-climbing Robot
Treebot is a tree-climbing robot that exhibits high maneuverability in irregular tree environments. It is able to reach many places on trees, including branches that surpass the state-of-the-art tree-climbing robots. Treebot can maneuver in a complex tree environment, utilizing only five actuators in its mechanism. As a result, Treebot can maintain a compact size and be lightweight.
Treebot Learns to Autonomously Climb Trees - IEEE Spectrum
Meet Treebot, the tree-climbing forest sentinel - Reuters
Tin Lun Lam, and Yangsheng Xu, “Tree Climbing Robots: Design, Kinematics and Motion Planning,” Springer Tracts in Advanced Robotics, vol. 78, Springer-Verlag, March 2012.
Tin Lun Lam, and Yangsheng Xu, “Motion Planning for Tree Climbing with Inchworm-like Robots,” Journal of Field Robotics (JFR), vol. 30, no. 1, pp. 87-101, January 2013.
Tin Lun Lam, and Yangsheng Xu, “Biologically Inspired Tree-climbing Robot with Continuum Maneuvering Mechanism,” Journal of Field Robotics (JFR), vol. 29, no. 6, pp. 843-860, November 2012.
Tin Lun Lam, and Yangsheng Xu, “Climbing Strategy for a Flexible Tree Climbing Robot - Treebot,” IEEE Transactions on Robotics (T-RO), vol. 27, no. 6, pp. 1107-1117, December 2011.
Tin Lun Lam, and Yangsheng Xu, “Mechanical Design of a Tree Gripper for Miniature Tree-Climbing Robots”, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), San Francisco, California, USA, pp. 1487-1492, September 25-30, 2011.
Tin Lun Lam, and Yangsheng Xu, “A Flexible Tree Climbing Robot: Treebot – Design and Implementation”, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, pp. 5849-5854, May 9-13, 2011.
Tin Lun Lam, and Yangsheng Xu, “Treebot: Autonomous Tree Climbing by Tactile Sensing”, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, pp. 789-794, May 9-13, 2011.
Tin Lun Lam, Guoqing Xu, Huihuan Qian, and Yangsheng Xu, “Linear-time Path and Motion Planning Algorithm for a Tree Climbing Robot – TreeBot”, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan, pp. 4988-4994, October 18-22, 2010.
Omni-directional Vehicle
A novel omnidirectional steer-by-wire system is proposed for omni-directional vehicles. The system includes an extended steering interface and a behavior-based steering controller. The extended steering interface offers a novel method of manipulation for the vehicle driver. The driver can control the vehicle in the traditional way or omnidirectionally without any mode switching operation. The reservation of the traditional driving way makes it easy for the driver to adapt to the novel steering interface.
[2011 IEEE/ASME Transactions on Mechatronics Best Paper Award]
Asia Tech Week - Omni-Directional Car | Discovery
Yangsheng Xu, Jingyu Yan, Huihuan Qian, and Tin Lun Lam, “Hybrid Electric Vehicle Design and Control: Intelligent Omnidirectional Hybrids,” McGraw-Hill, December 6, 2013.
Tin Lun Lam, Huihuan Qian and Yangsheng Xu, “Omnidirectional Steering Interface and Control for a Four-Wheel Independent Steering Vehicle,” IEEE/ASME Transactions on Mechatronics (TMECH), vol. 15, no. 3, pp. 329-338, June 2010.
Tin Lun Lam, Huihuan Qian, and Yangsheng Xu, “Longitudinal Wheel-slip Control for Four Wheel Independent Steering and Drive Vehicles”, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, pp. 5280-5285, May 31 - June 5, 2014.
Tin Lun Lam, Jingyu Yan, Huihuan Qian, and Yangsheng Xu, “Traction/Braking Force Distribution Algorithm for Omni-directional All-wheel-independent-drive Vehicles”, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Kongresszentrum Karlsruhe, Karlsruhe, Germany, pp. 738-743, May 6-10, 2013.
Tin Lun Lam, Huihuan Qian, and Yangsheng Xu, “Direct Yaw Moment Control for Four Wheel Independent Steering and Drive Vehicles based on Centripetal Force Detection”, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), St. Paul, Minnesota, USA, pp. 103-108, May 14-18, 2012.
Huihuan Qian, Guoqing Xu, Jingyu Yan, Tin Lun Lam, Yangsheng Xu, and Kun Xu, “Energy Management for Four-Wheel Independent Driving Vehicle”, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan, pp. 5532-5537, October 18-22, 2010.
Ocean Robotics
Ocean exploration has captured the interest of humankind for thousands of years. This project focuses on developing an energy-sustainable robot for ocean exploration. One of the solutions is harnessing wind power for a vehicle's propulsion using a sail. This project presents a new autonomous surface vehicle (ASV) based on retrofitting a trimaran sailing boat. The sail and rudder control are motorized by three electric actuators. The ASV acquires signals for wind speed and direction, GPS position, and rolling angle, and determines its heading based on the wind direction.
In wave-driven unmanned surface vehicles (WUSVs), the swinging foil is the most straightforward and widely used mechanism for energy conversion. A deformable foil is proposed, which can enhance the wave energy-converting efficiency to provide a more significant thrust in every wave cycle. We break down the movement of the foils and build the corresponding dynamic model to analyze their working effectiveness. The thrust enhancement of the foil in the wave is verified through computational fluid dynamics (CFD) simulations, and the optimal parameters are identified in relation to the specific wave environment. Compared with the traditional rigid foil, our deformable foil can provide 15.9% more thrust to the WUSVs.
[2020 IROS Best Application Paper Award - Finalist]
Lyucheng Xie, Hongzheng Cui, Tin Lun Lam*, "Speed up of Wave-Driven Unmanned Surface Vehicle Using Passively Transformable Two-segment Foils," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, October 23-27, 2022.
Yan Gao, Lyucheng Xie, Tin Lun Lam*, "Thrust Enhancement of Wave-driven Unmanned Surface Vehicle by using Asymmetric Foil," Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Xian, China, May 30 - June 5, 2021.
Qinbo Sun, Weimin Qi, Hengli Liu, Zhenglong Sun, Tin Lun Lam, and Huihuan Qian, “OceanVoy: A Hybrid Energy Planning System for Autonomous Sailboat,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA (Virtual), October 25-29, 2020.
Ruoyu Xu, Hengli Liu, Chongfeng Liu, Zhenglong Sun, Tin Lun Lam, Huihuan Qian, "A Novel Solar Tracker Driven by Waves: From Idea to Implementation", Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Paris, France, May 31 - June 4, 2020.
Selected Publications
Distributed Autonomous Robotic Systems - 16th International Symposium
Springer Nature Switzerland AG, 2024
Julien Bourgeois, Jamie Paik, Benoît Piranda, Justin Werfel, Sabine Hauert, Alyssa Pierson, Heiko Hamann, Tin Lun Lam, Fumitoshi Matsuno, Negar Mehr, Abdallah Makhoul
Introduction to Intelligent Robot System Design: Application Development with ROS
Springer Singapore, 2023
Gang Peng, Tin Lun Lam, Chunxu Hu, Yu Yao, Jintao Liu, Fan Yang
Yangsheng Xu, Jingyu Yan, Huihuan Qian, and Tin Lun Lam
Tree Climbing Robots: Design, Kinematics and Motion Planning
Springer Tracts in Advanced Robotics, 2012
Tin Lun Lam, and Yangsheng Xu
Books:
Alexandra Nilles, Kirstin H. Petersen, Tin Lun Lam, Amanda Prorok, Michael Rubenstein, Michael Otte, "Distributed Autonomous Robotic Systems - 17th International Symposium," Volume 34 of Springer Proceedings in Advanced Robotics, Springer Nature Switzerland AG, Sep 2025.
Julien Bourgeois, Jamie Paik, Benoît Piranda, Justin Werfel, Sabine Hauert, Alyssa Pierson, Heiko Hamann, Tin Lun Lam, Fumitoshi Matsuno, Negar Mehr, Abdallah Makhoul, "Distributed Autonomous Robotic Systems - 16th International Symposium," Volume 28 of Springer Proceedings in Advanced Robotics, Springer Nature Switzerland AG, 16 Apr 2024.
Gang Peng, Tin Lun Lam, Chunxu Hu, Yu Yao, Jintao Liu, Fan Yang, "Introduction to Intelligent Robot System Design: Application Development with ROS," Springer Singapore, 2023.
Yangsheng Xu, Jingyu Yan, Huihuan Qian, and Tin Lun Lam, “Hybrid Electric Vehicle Design and Control: Intelligent Omnidirectional Hybrids,” McGraw-Hill, December 6, 2013.
Tin Lun Lam, and Yangsheng Xu, “Tree Climbing Robots: Design, Kinematics and Motion Planning,” Springer Tracts in Advanced Robotics, vol. 78, Springer-Verlag, March 2012.
Journals: (*Corresponding author)
Haobo Luo, Yuan Gao, Da Zhao, Yuxiao Tu, Jianwei Zhang, Yangsheng Xu, Tin Lun Lam*, "Learning to Design Terrain-Adaptive Configurations for Modular Reconfigurable Robots," IEEE Transactions on Robotics (T-RO), September 2025. (Conditionally Accept)
Zhenliang Zheng, Ning Ding*, Herbert Werner, Feng Ren, Yongyuan Xu, Wenchao Zhang, Xiaoli Hu, Jianguo Zhang, Tin Lun Lam*, "CCRobot-S: A Robotic Cable-Climbing Squad Collaborating for Fast Inspection and Heavy-Duty Maintenance," IEEE Transactions on Robotics (T-RO), October 2025.
Yuxiao Tu, Guanqi Liang, Di Wu, Xinzhuo Li, Tin Lun Lam*, "Locomotion and Self-reconfiguration Autonomy for Spherical Freeform Modular Robots," International Journal of Robotics Research (IJRR), July 2025.
Junjie Hu, Chenyou Fan, Mete Ozay, Qing Gao, Yulan Guo, Tin Lun Lam*, "Robust Depth Estimation Under Sensor Degradations: A Multi-Sensor Fusion Perspective," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), June 2025.
Guanqi Liang, Rong Ou, Tin Lun Lam*, "S-DISG: Position and Torque Sensing for Driving Integrated Spherical Gear," IEEE/ASME Transactions on Mechatronics (TMECH), May 2025.
Junjie Hu, Chenyou Fan, Mete Ozay, Hua Feng, Yuan Gao, Tin Lun Lam*, "Unlocking Drone Perception in Low AGL Heights: Progressive Semi-Supervised Learning for Ground-to-Aerial Perception Knowledge Transfer," IEEE Transactions on Intelligent Transportation Systems (TITS), May 15, 2025.
Zhenliang Zheng, Chao Wang, Xiaoli Hu, Lun Zhang, Wenchao Zhang, Yongyuan Xu, Pengfei Liu, Xufang Pang, Tin Lun Lam*, Ning Ding*, “Developing a Climbing Robot for Stay Cable Maintenance with Security and Rescue Mechanisms,” Journal of Field Robotics (JFR), February 2025. [Cover Story]
Liguang Zhou, Yuhongze Zhou, Xiaonan Qi, Junjie Hu, Tin Lun Lam*, Yangsheng Xu, "Feature Pyramid Attention Network for Audio-Visual Scene Classification," CAAI Transactions on Intelligence Technology, November 26, 2024.
Di Wu, Yuxiao Tu, Guanqi Liang, Lijun Zong, Tin Lun Lam*, "Linear-Time Quasi-Static Stability Detection for Modular Reconfigurable Robots," International Journal of Robotics Research (IJRR), November 25, 2024.
Guanqi Liang, Di Wu, Yuxiao Tu, Tin Lun Lam*, "Decoding Modular Reconfigurable Robots: A Survey on Mechanisms and Design," International Journal of Robotics Research (IJRR), October 14, 2024.
Lai Wei, Yanzhe Wang, Yibo Hu, Tin Lun Lam*, Yanding Wei*, "Online Dual Robot-Human Collaboration Trajectory Generation by Convex Optimization," Robotics and Computer-Integrated Manufacturing (RCIM), Volume 91, February 2025, 102850.
Jiatao Ding, Cosimo Della Santina*, Tin Lun Lam*, Jianxin Pang*, Xiaohui Xiao, Nikos Tsagarakis, and Yanlong Huang, "Robust Humanoid Locomotion via Sequential Stepping and Angular Momentum Optimization," IEEE Transactions on Industrial Electronics (TIE), July 8, 2024.
Da Zhao, Haobo Luo, Yuxiao Tu, Chongxi Meng, Tin Lun Lam*, "Snail-Inspired Robotic Swarms: A Hybrid Connector Drives Collective Adaptation in Unstructured Outdoor Environments," Nature Communications, April 2024.
Chongxi Meng, Tianwei Zhang, Da Zhao, and Tin Lun Lam*, "Fast and Comfortable Interactive Mobile Robot-to-Human Object Handover," Cyborg and Bionic Systems, April 3, 2024.
Junjie Hu, Chenyou Fan, Mete Ozay, Hualie Jiang, Tin Lun Lam*, "Dense Depth Distillation with Out-of-Distribution Simulated Images," Knowledge-Based Systems (KBS), December 2023.
Junjie Hu, Chenyou Fan, Liguang Zhou, Qing Gao, Honghai Liu, Tin Lun Lam*, "Lifelong-MonoDepth: Lifelong Learning for Multidomain Monocular Metric Depth Estimation," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), October 2023.
Guanqi Liang, Lijun Zong, Tin Lun Lam*, "DISG: Driving-Integrated Spherical Gear Enables Singularity-Free Full-Range Joint Motion," IEEE Transactions on Robotics (T-RO), September 2023.
Junjie Hu, Chenyou Fan, Xiyue Guo, Liguang Zhou, Tin Lun Lam*, "Self-supervised Single-line LiDAR Depth Completion," IEEE Robotics and Automation Letters (RA-L), September 2023.
Yuxiao Tu, Tin Lun Lam*, "Configuration Identification for a Freeform Modular Self-reconfigurable Robot - FreeSN," IEEE Transactions on Robotics (T-RO), August 2023.
Junjie Lu, Bi Zeng, Jingtao Tang, Tin Lun Lam, Junbin Wen, "TMSTC*: A Path Planning Algorithm for Minimizing Turns in Multi-robot Coverage," IEEE Robotics and Automation Letters (RA-L), July 7, 2023.
Yue Wang, Muhan Lin, Xinyi Xie, Yuan Gao, Fuqin Deng, Tin Lun Lam*, "Asymptotically Efficient Estimator for Range-Based Robot Relative Localization," IEEE/ASME Transactions on Mechatronics (TMECH), June 2023.
Mingjian Liang, Junjie Hu, Chenyu Bao, Hua Feng, Fuqin Deng, Tin Lun Lam*, "Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks," IEEE Robotics and Automation Letters (RA-L), May 2023.
Hoi-Yin Lee, Peng Zhou, Bin Zhang, Liuming Qiu, Bowen Fan, Anqing Duan, Jingtao Tang, Tin Lun Lam, and David Navarro-Alarcon, "A Distributed Dynamic Framework to Allocate Collaborative Tasks Based on Capability Matching in Heterogeneous Multi-Robot Systems," IEEE Transactions on Cognitive and Developmental Systems (TCDS), April 2023.
Yuan Gao, Junfeng Chen, Xi Chen, Chongyang Wang, Junjie Hu, Fuqin Deng, Tin Lun Lam*, "Asymmetric Self-Play-Enabled Intelligent Heterogeneous Multirobot Catching System Using Deep Multiagent Reinforcement Learning," IEEE Transactions on Robotics (T-RO), April 2023.
Yuhongze Zhou, Liguang Zhou, Tin Lun Lam*, Yangsheng Xu, "Sampling Propagation Attention with Trimap Generation Network for Natural Image Matting," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), March 2023.
Liguang Zhou, Yuhongze Zhou, Xiaonan Qi, Junjie Hu, Tin Lun Lam*, Yangsheng Xu, "Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification," IEEE Transactions on Instrumentation and Measurement (TIM), March 2023.
Jiatao Ding, Tin Lun Lam*, Ligang Ge, Jianxin Pang*, Yanlong Huang, "Safe and Adaptive 3-D Locomotion via Constrained Task-Space Imitation Learning,” IEEE/ASME Transactions on Mechatronics (TMECH), February 2023.
Junjie Hu, Chenyu Bao, Mete Ozay, Chenyou Fan, Qing Gao, Honghai Liu, Tin Lun Lam*, "Deep Depth Completion from Extremely Sparse Data: A Survey," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), December 2022.
Haobo Luo, Tin Lun Lam*, "Auto-Optimizing Connection Planning Method for Chain-Type Modular Self-Reconfiguration Robots," IEEE Transactions on Robotics (T-RO), November 2022.
Jingtao Tang, Yuan Gao, Tin Lun Lam*, "Learning to Coordinate for a Worker-Station Multi-robot System in Planar Coverage Tasks," IEEE Robotics and Automation Letters (RA-L), vol. 7, no. 4, pp. 12315-12322, October 2022.
Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam*, Yangsheng Xu, "Toward Better Accuracy-Efficiency Trade-Offs: Divide and Co-Training," IEEE Transactions on Image Processing (T-IP), vol. 31, pp. 5869-5880, September 2022.
Lijun Zong, Guanqi Liang, Tin Lun Lam*, "Kinematics Modeling and Control of Spherical Rolling Contact Joint and Manipulator," IEEE Transactions on Robotics (T-RO), August 2022.
Ming Li, Tin Lun Lam, Zhiyong Sun, "3-D Inter-robot Relative Localization via Semidefinite Optimization," IEEE Robotics and Automation Letters (RA-L), vol. 7, no. 4, pp. 10081-10088, October 2022.
Ran Long, Christian Rauch, Tianwei Zhang, Vladimir Ivan, Tin Lun Lam, Sethu Vijayakumar, "RGB-D SLAM in Indoor Planar Environments with Multiple Large Dynamic Objects," IEEE Robotics and Automation Letters (RA-L), vol. 7, no. 3, pp. 8209-8216, July 2022.
Haobo Luo, Tin Lun Lam*, “Adaptive Flow Planning of Modular Spherical Robot Considering Static Gravity Stability,” IEEE Robotics and Automation Letters (RA-L), vol. 7, no. 2, pp. 4228-4235, April 2022.
Xiyue Guo, Junjie Hu, Junfeng Chen, Fuqin Deng, Tin Lun Lam*, "Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment," IEEE Robotics and Automation Letters (RA-L), vol. 6, no. 4, pp. 8349-8356, October 2021.
Junjie Hu, Xiyue Guo, Junfeng Chen, Guanqi Liang, Fuqin Deng, Tin Lun Lam*, “A Two-stage Unsupervised Approach for Low light Image Enhancement, ”IEEE Robotics and Automation Letters (RA-L), vol. 6, no. 4, pp. 8363-8370, October 2021.
Ronghuai Qi, Amir Khajepour, William W Melek, Tin Lun Lam, Yangsheng Xu, “Design, Kinematics, and Control of a Multijoint Soft Inflatable Arm for Human-Safe Interaction,” IEEE Transactions on Robotics (T-RO), vol. 33, no. 3, pp. 594-609, June 2017.
Wing Kwong Chung, Huihuan Qian, Tin Lun Lam, and Yangsheng Xu, “Novel Design of Gaits on Space Station for Dynamic Disturbance Minimization,” IEEE/ASME Transactions on Mechatronics (TMECH), vol. 19, no. 4, pp. 1392-1403, August 2014.
Tin Lun Lam, and Yangsheng Xu, “Motion Planning for Tree Climbing with Inchworm-like Robots,” Journal of Field Robotics (JFR), vol. 30, no. 1, pp. 87-101, January 2013.
Tin Lun Lam, and Yangsheng Xu, “Biologically Inspired Tree-climbing Robot with Continuum Maneuvering Mechanism,” Journal of Field Robotics (JFR), vol. 29, no. 6, pp. 843-860, November 2012.
Tin Lun Lam, and Yangsheng Xu, “Climbing Strategy for a Flexible Tree Climbing Robot - Treebot,” IEEE Transactions on Robotics (T-RO), vol. 27, no. 6, pp. 1107-1117, December 2011.
Tin Lun Lam, Huihuan Qian and Yangsheng Xu, “Omnidirectional Steering Interface and Control for a Four-Wheel Independent Steering Vehicle,” IEEE/ASME Transactions on Mechatronics (TMECH), vol. 15, no. 3, pp. 329-338, June 2010. [IEEE/ASME Transactions on Mechatronics Best Paper Award]
Conferences: (*Corresponding author)
Jie Gu, Tin Lun Lam*, Chunxu Tian, Zhihao Xia, Yongheng Xing, Dan Zhang*, "MODUR: A Modular Dual-reconfigurable robot," Proceedings of the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, 19 - 25 October, 2025. (Accepted)
Chenyu Bao, Junjie Hu, Qiu Zheng, Tin Lun Lam*, "Topology-based Visual Active Room Segmentation," Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, May 19 - 23, 2025.
Yuming Liu, Qiu Zheng, Yuxiao Tu, Yuan Gao, Guanqi Liang, Tin Lun Lam*, "Configuration-Adaptive Visual Relative Localization for Spherical Modular Self-Reconfigurable Robots," Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, May 19 - 23, 2025. [IEEE ICRA Best Conference Paper Award - Finalist]
Qiu Zheng, Junjie Hu, Yuming Liu, Zengfeng Zeng, Wang Fan, Tin Lun Lam*, "Transferring Visual Knowledge: Semi-Supervised Instance Segmentation for Object Navigation Across Varying Height Viewpoints," Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, May 19 - 23, 2025.
Peiqi Wang, Guanqi Liang, Da Zhao, Tin Lun Lam*, "Enhancing Connection Strength in Freeform Modular Reconfigurable Robots through Holey Sphere and Gripper Mechanisms," Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, May 19 - 23, 2025.
Xinzhuo Li, Yuxiao Tu, Guanqi Liang, Di Wu, Tin Lun Lam*, "Energy Sharing Mechanism for Freeform Robots Utilizing Conductive Spherical Sliding Surfaces," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, UAE, October 14 – 18, 2024.
Wenqiang Lai, Yuan Gao, Tin Lun Lam*, "Vision-Language Model-based Physical Reasoning for Robot Liquid Perception," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, UAE, October 14 – 18, 2024.
Junfeng Chen, Yuan Gao, Junjie Hu, Fuqin Deng, Tin Lun Lam*, “Meta-Reinforcement Learning Based Cooperative Surface Inspection of 3D Uncertain Structures using Multi-robot Systems,” Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, May 13th to 17th, 2024.
Chongyang Wang, Siqi Zheng, Lingxiao Zhong, Chun Yu, Chen Liang, Yuntao Wang, Yuan Gao, Tin Lun Lam, Yuanchun Shi, “PepperPose: Full-Body Pose Estimation with a Companion Robot,” ACM CHI conference on Human Factors in Computing Systems, Hawaii, USA, May 11-16, 2024.
Rong Ou, Guanqi Liang, Tin Lun Lam*, "FPECMV: Learning-based Fault-Tolerant Collaborative Localization under Limited Connectivity," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, Michigan, USA, October 1-5, 2023.
Lyucheng Xie, Hongzheng Cui, Tin Lun Lam*, "Speed up of Wave-Driven Unmanned Surface Vehicle Using Passively Transformable Two-segment Foils," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, October 23-27, 2022.
Chongxi Meng, Tianwei Zhang, Tin Lun Lam*, "Fast and Comfortable Interactive Robot-to-Human Object Handover," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, October 23-27, 2022.
Huifeng Guan, Yuan Gao, Min Zhao, Yong Yang, Fuqin Deng*, Tin Lun Lam*, "AB-Mapper: Attention and BicNet based Multi-agent Path Planning for Dynamic Environment," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, October 23-27, 2022.
Yuxiao Tu, Guanqi Liang, Tin Lun Lam*, “FreeSN: A Freeform Strut-node Structured Modular Self-reconfigurable Robot - Design and Implementation,” Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, USA, May 23-27, 2022.
Guanqi Liang, Yuxiao Tu, Lijun Zong, Junfeng Chen, Tin Lun Lam*, “Energy Sharing Mechanism for a Freeform Robotic System – FreeBOT,” Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, USA, May 23-27, 2022.
Da Zhao, Tin Lun Lam*, “SnailBot: A Continuously Dockable Modular Self-reconfigurable Robot Using Rocker-bogie Suspension,” Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, USA, May 23-27, 2022.
Fuqin Deng, Hua Feng, Mingjian Liang, Qi Feng, Ningbo Yi, Yong Yang, Yuan Gao, Junfeng Chen, Tin Lun Lam*, “Abnormal Occupancy Grid Map Recognition using Attention Network,” Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, USA, May 23-27, 2022.
Liguang Zhou, Jun Cen, Zhenglong Sun, Tin Lun Lam*, Yangsheng Xu, "BORM: Bayesian Object Relation Model for Indoor Scene Recognition," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, September 27 - October 1, 2021.
Bo Miao, Liguang Zhou, Ajmal Saeed Mian, Tin Lun Lam*, Yangsheng Xu, "Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, September 27 - October 1, 2021.
Fuqin Deng, Hua Feng, Mingjian Liang, Hongmin Wang, Yong Yang, Yuan Gao, Junfeng Chen, Junjie Hu, Xiyue Guo, Tin Lun Lam*, "FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, September 27 - October 1, 2021.
Tianwei Zhang, Huayan Zhang, Xiaofei Li*, Junfeng Chen, Tin Lun Lam*, Sethu Vijayakumar, "AcousticFusion: Fusing Sound Source Localization to Visual SLAM in dynamic environments," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, September 27 - October 1, 2021.
Huayan Zhang, Tianwei Zhang*, Tin Lun Lam*, Sethu Vijayakumar, "PoseFusion2: Simultaneous Background Reconstruction and Human Shape Recovery in Real-time," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, September 27 - October 1, 2021.
Yuxiao Tu, Guanqi Liang, Tin Lun Lam*, "Graph Convolutional Network based Configuration Detection for Freeform Modular Robot Using Magnetic Sensor Array," Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Xian, China, May 30 - June 5, 2021.
Yan Gao, Lyucheng Xie, Tin Lun Lam*, "Thrust Enhancement of Wave-driven Unmanned Surface Vehicle by using Asymmetric Foil," Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Xian, China, May 30 - June 5, 2021.
Liguang Zhou, Chenping Du, Zhenglong Sun, Tin Lun Lam*, Yangsheng Xu, "Long-Range Hand Gesture Recognition via Attention-based SSD Network," Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Xian, China, May 30 - June 5, 2021.
Xiaoyu Zhang, Lei Yan, Tin Lun Lam, Sethu Vijayakumar, "Task-Space Decomposed Motion Planning Framework for Multi-Robot Loco-Manipulation," Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Xian, China, May 30 - June 5, 2021.
Jiatao Ding, Songyan Xin, Tin Lun Lam, Sethu Vijayakumar, "Versatile Locomotion by Integrating Ankle, Hip, Stepping, and Height Variation Strategies," Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Xian, China, May 30 - June 5, 2021.
Guanqi Liang, Haobo Luo, Ming Li, Huihuan Qian and Tin Lun Lam*, “FreeBOT: A Freeform Modular Self-reconfigurable Robot with Arbitrary Connection Point - Design and Implementation,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA (Virtual), October 25-29, 2020. [IROS Best Paper Award on Robot Mechanisms and Design]
Ming Li, Guanqi Liang, Haobo Luo, Huihuan Qian and Tin Lun Lam*, “Robot-to-Robot Relative Pose Estimation based on Semidefinite Relaxation Optimization,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA (Virtual), October 25-29, 2020.
Haobo Luo, Ming Li, Guanqi Liang, Huihuan Qian and Tin Lun Lam*, “An Obstacles-crossing Strategy Based on the Self-reconfiguration of Modular Sphere Robots,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA (Virtual), October 25-29, 2020.
Qinbo Sun, Weimin Qi, Hengli Liu, Zhenglong Sun, Tin Lun Lam, and Huihuan Qian, “OceanVoy: A Hybrid Energy Planning System for Autonomous Sailboat,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA (Virtual), October 25-29, 2020. [IROS Best Application Paper Award - Finalist]
Kaiwen Xue, Chongfeng Liu, Hengli Liu, Ruoyu Xu, Zhenglong Sun, Tin Lun Lam, and Huihuan Qian, “A Two-stage Automatic Latching System for The USVs Charging in Disturbed Berth,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA (Virtual), October 25-29, 2020.
Ruoyu Xu, Hengli Liu, Chongfeng Liu, Zhenglong Sun, Tin Lun Lam, Huihuan Qian, "A Novel Solar Tracker Driven by Waves: From Idea to Implementation", Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Paris, France, May 31 - June 4, 2020.
Ning Ding, Zhenliang Zheng, Junlin Song, Zhenglong Sun, Tin Lun Lam, Huihuan Qian, "CCRobot-III: A Split-Type Wire-Driven Cable Climbing Robot for Cable-Stayed Bridge Inspection", Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Paris, France, May 31 - June 4, 2020.
Ronghuai Qi, Tin Lun Lam, and Yangsheng Xu, “Design and Implementation of a Low-Cost and Lightweight Inflatable Robot Finger”, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Chicago, Illinois, USA, pp. 28-33, September 14-18, 2014.
Tin Lun Lam, Huihuan Qian, and Yangsheng Xu, “Longitudinal Wheel-slip Control for Four Wheel Independent Steering and Drive Vehicles”, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, pp. 5280-5285, May 31 - June 5, 2014.
Ronghuai Qi, Tin Lun Lam, and Yangsheng Xu, “Mechanical design and implementation of a soft inflatable robot arm for safe human-robot interaction”, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, pp. 3490-3495, May 31 - June 5, 2014.
Ronghuai Qi, Tin Lun Lam, and Yangsheng Xu, “Kinematic Modeling and Control of a Multi-joint Soft Inflatable Robot Arm with Cable-Driven Mechanism”, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, pp. 4819-4824, May 31 - June 5, 2014.
Tin Lun Lam, Jingyu Yan, Huihuan Qian, and Yangsheng Xu, “Traction/Braking Force Distribution Algorithm for Omni-directional All-wheel-independent-drive Vehicles”, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Kongresszentrum Karlsruhe, Karlsruhe, Germany, pp. 738-743, May 6-10, 2013.
Tin Lun Lam, Hoi Wut Yip, Huihuan Qian, and Yangsheng Xu, “Collision Avoidance of Industrial Robot Arms using an Invisible Sensitive Skin”, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vilamoura, Algarve, Portugal, pp. 4542-4543, October 7-12, 2012.
Tin Lun Lam, Huihuan Qian, and Yangsheng Xu, “Direct Yaw Moment Control for Four Wheel Independent Steering and Drive Vehicles based on Centripetal Force Detection”, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), St. Paul, Minnesota, USA, pp. 103-108, May 14-18, 2012.
Tin Lun Lam, and Yangsheng Xu, “Mechanical Design of a Tree Gripper for Miniature Tree-Climbing Robots”, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), San Francisco, California, USA, pp. 1487-1492, September 25-30, 2011.
Tin Lun Lam, and Yangsheng Xu, “A Flexible Tree Climbing Robot: Treebot – Design and Implementation”, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, pp. 5849-5854, May 9-13, 2011.
Tin Lun Lam, and Yangsheng Xu, “Treebot: Autonomous Tree Climbing by Tactile Sensing”, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, pp. 789-794, May 9-13, 2011.
Tin Lun Lam, Guoqing Xu, Huihuan Qian, and Yangsheng Xu, “Linear-time Path and Motion Planning Algorithm for a Tree Climbing Robot – TreeBot”, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan, pp. 4988-4994, October 18-22, 2010.
Huihuan Qian, Guoqing Xu, Jingyu Yan, Tin Lun Lam, Yangsheng Xu, and Kun Xu, “Energy Management for Four-Wheel Independent Driving Vehicle”, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan, pp. 5532-5537, October 18-22, 2010.
Tin Lun Lam, Yangsheng Xu, and Guoqing Xu, “Traction Force Distribution on Omni-directional Four Wheel Independent Drive Electric Vehicle”, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Kobe, Japan, pp. 3724-3729, May 12-17, 2009.
Tin Lun Lam, Huihuan Qian, Yangsheng Xu, and Guoqing Xu, “Omni-directional steer-by-wire interface for four-wheel independent steering vehicle”, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Kobe, Japan, pp. 1383-1388, May 12-17, 2009.