Tin Lun LAM
PhD (CUHK), IEEE Senior Member
Assistant Professor - Presidential Young Fellow, School of Science and Engineering, 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
tllam@cuhk.edu.cn | tinlun.lam@ieee.org | Linkedin | Google Scholar | ORCID
Tin Lun LAM, Senior Member of IEEE, is currently an Assistant 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, and a Director of the Center for Intelligent Robots at Shenzhen Institute of Artificial Intelligence and Robotics for Society. 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 focus includes Field Robotics and Multi-robot Collaboration. He has authored and co-authored 3 books and published more than 70 research papers in top-tier international journals and conference proceedings in Robotics and AI (Nature Communications, T-RO, TPAMI, TIP, JFR, TMECH, RA-L, ICRA, IROS, etc.), and has been granted more than 80 patents. He received IEEE/ASME TMECH Best Paper Award in 2011, IEEE/RSJ IROS Best Paper Award on Robot Mechanisms and Design and Best Application Paper Award Finalist in 2020, and Distinguished Young Scholars Fund from Guangdong Natural Science Foundation in 2023. His research outcomes were reported in many internationally renowned media, including Reuters, Forbes, Discovery, IEEE Spectrum, NIKKEI, and NHK.
Research Interests
Field Robotics, Modular Robots, Multi-robot Collaboration
Freeform Robotics Research Group: freeformrobotics.org
Selected Projects
Freeform Robot
Modular self-reconfigurable robotic systems have strong self-adaptation and self-healing abilities, which makes them capable of coping with various tasks in complex and changeable environments. Most existing modular self-reconfigurable robots have connection constraints on the mechanical structure. Their relative positioning and motion planning capacities are also limited to the structured environment, which is different from the real and changing environment. 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 lay a theoretical and technical foundation for the development of swarm robots and field robots, and can also be widely used in the areas of search and rescue, space exploration, etc.
[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
《超能陆战队》磁性球体机器人成真？中国内地高校近十年来首获机器人顶会IROS最佳论文奖
现实版《超能陆战队》：港中深「新型自重构机器人」获IROS最佳机器人设计提名
《超能陆战队》成真？香港中文大学（深圳）自由重构机器人再升级
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 researches 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
Whole-Body Control for Velocity-Controlled Mobile Collaborative Robots - YouTube
Fast and Comfortable Interactive Robot-to-Human Object Handover - YouTube
Heterogeneous Multi-robot Planning
A heterogeneous multi-robot cooperative system comprises a team of robots with different configurations that can cooperate to achieve 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 provide theoretical support for using robots in complex and changing environments in reality. Future application scenarios include unmanned mines, security, anti-terrorism, dynamic path planning, human-machine co-adaptation, etc.
Learning to Coordinate for a Worker-Station Multi-robot System in Planar Coverage Tasks - Youtube
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.
A Two-stage Unsupervised Approach for Low Light Image Enhancement - YouTube
Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization - YouTube
RGB-D SLAM in Indoor Planar Environments with Multiple Large Dynamic Objects - YouTube
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 use a common and low-cost inflatable material and can be easily and massively manufactured. The inflatable arm can work by pumping air at very low pressure and allows direct and soft human contact without any external force sensors.
Tree-climbing Robot
Treebot is a tree-climbing robot that has high maneuverability in an irregular tree environment. 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, but only five actuators are used in the mechanism. As a result, Treebot can keep it in a compact size and lightweight.
Treebot Learns to Autonomously Climb Trees | IEEE Spectrum
Meet Treebot, the tree-climbing forest sentinel | Reuters
Tree Climbing Robot - Design, Kinematics and Motion Planning | Tin Lun Lam | Springer
Climbing Strategy for a Flexible Tree Climbing Robot—Treebot - IEEE Journals & Magazine
A flexible tree climbing robot: Treebot - design and implementation - YouTube
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 provides a novel manipulation way 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 the driver adapt to the novel steering interface easily.
[2011 IEEE/ASME Transactions on Mechatronics Best Paper Award]
Asia Tech Week - Omni-Directional Car | Discovery
McGraw Hill Canada | Hybrid Electric Vehicle Design and Control: Intelligent Omnidirectional Hybrids
Autonomous Sailboat
Ocean exploration has attracted enormous interest from humankind for thousands of years. This project focus on developing energy sustainable robot for ocean exploration. One of the solutions is harvesting wind power for a vehicle's propulsion by 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 of wind speed and direction, GPS position, and rolling angle, and determines the heading based on wind direction.
[2020 IROS Best Application Paper Award Finalist]
OceanVoy- A Hybrid Energy Planning System for Autonomous Sailboat - YouTube
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:
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)
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.
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), 07 July 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)
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. (Accepted)
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. (Accepted)
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. [Finalist for the IROS Best Application Paper Award]
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.