Publications

Preprint

  1. Guanqi Liang, Di Wu, Yuxiao Tu, Tin Lun Lam, “Decoding Modular Reconfigurable Robots: A Survey on Mechanisms and Design” [paper]

2024

Journal Publications

  1. 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. (Accepted)

Conference Publications 

  1. 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. [paper]
  2. 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. [paper]

2023

Journal Publications

  1. 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. [paper]
  2. 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. [paper]
  3. 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. [paper] [video]
  4. 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. [paper]
  5. Fuqin Deng, Jiaming Zhong, Nannan Li, Lanhui Fu, Dong Wang, Tin Lun Lam, “Exploring Cross-video Matching for Few-shot Video Classification via Dual-Hierarchy Graph Neural Network Learning,” Image and Vision Computing, September 2023. [paper]
  6. 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]
  7. Junjie Lu, Bi Zeng, Jingtao Tang, Tin Lun Lam and Junbin Wen, “TMSTC*: A Path Planning Algorithm for Minimizing Turns in Multi-robot Coverage,” IEEE Robotics and Automation Letters (RA-L), July 2023. [paper]
  8. 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]
  9. 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. [paper] [code]
  10. 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]
  11. 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]
  12. 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. [paper]
  13. 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. [paper]
  14. 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. [paper]

Conference Publications 

  1. Junfeng Chen, Fuqin Deng, Yuan Gao, Junjie Hu, Xiyue Guo, Guanqi Liang, Tin Lun Lam, “MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning,” Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO), Koh Samui, Thailand, December 4-9, 2023.
  2. Tianwei Zhang, Shipei Zheng, Cong Liu, Yiming Yang, Zhenglong Sun, Tin Lun Lam, “A Dual-Arm Nasopharyngeal Swab Manipulation Robot for Polymerization Chain Reaction Sampling,” Proceedings of the 16th IFToMM World Congress, Nishi-Shinjuku, Tokyo, Japan, November 5 – 10, 2023.
  3. 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. [paper] [video]
  4. Junjie Hu, Chenyou Fan, Hualie Jiang, Xiyue Guo, Yuan Gao, Xiangyong Lu, Tin Lun Lam, “Boosting LightWeight Depth Estimation Via Knowledge Distillation,” Proceedings of the 16th International Conference on Knowledge Science, Engineering and Management (KSEM), Guangzhou, China, August 16-18, 2023. [paper]
  5. Yuhongze Zhou, Liguang Zhou, Issam Hadj Laradji, Tin Lun Lam, Yangsheng Xu, “Affinity Learning with Blind-spot Self-Supervision for Image Denoising,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes island, Greek, June 4-10, 2023.

2022

Journal Publications

  1. 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. [paper]
  2. Haobo Luo, Tin Lun Lam, “Auto-Optimizing Connection Planning Method for Chain-Type Modular Self-Reconfiguration Robots,” IEEE Transactions on Robotics (T-RO), October 2022. [paper] [code]
  3. 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]
  4. 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 (TIP), September 2022. [paper] [code]
  5. 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. [paper] [video]
  6. Ming Li, Tin Lun Lam, Zhiyong Sun, “3-D Inter-robot Relative Localization via Semidefinite Optimization,” IEEE Robotics and Automation Letters (RA-L), July 2022. [paper]
  7. 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]
  8. Yan Gao, Lvcheng Xie, Tin Lun Lam, “A Novel and More Efficient Oscillating Foil for Wave-driven Unmanned Surface Vehicles,” Frontiers in Robotics and AI, vol. 9, March 15, 2022. [paper]
  9. Haobo Luo, Tin Lun Lam, “Adaptive Flow Planning of Modular Spherical Robot Considering Static Gravity Stability,” IEEE Robotics and Automation Letters (RA-L), February 2022. [paper] [video]

Conference Publications 

  1. 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]
  2. 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. [paper]
  3. 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]
  4. 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. [paper] [code]
  5. Fuqin Deng, Huanzhao Huang, Lanhui Fu, Hongwei Yue, Jianmin Zhang, Zexiao Wu, Tin Lun Lam, “A Learning Approach to Multi-robot Task Allocation with Priority Constraints and Uncertainty,” IEEE International Conference on Industrial Technology (ICIT), Shanghai, China, August 22-25, 2022. [paper]
  6. 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. [paper] [video]
  7. 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. [paper] [video]
  8. 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. [paper] [video]
  9. 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. [paper] [code]

2021

Journal Publications

  1. 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]
  2. 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]

Conference Publications 

  1. 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. [paper] [code]
  2. 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. [paper] [code]
  3. 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. [paper] [code]
  4. 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. [paper] [video]
  5. 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. [paper] [video]
  6. 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. [paper] [video]
  7. 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. [paper]
  8. 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. [paper]
  9. 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]
  10. 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. [paper] [video]

2020

Conference Publications

  1. 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[IROS Best Paper Award on Robot Mechanisms and Design
  2. 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. [paper] [video]
  3. 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. [paper] [video]

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