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I'm a senior undergrad at the College of Engineering at Peking University, majoring in robotics engineering. I am grateful to be advised by Professor Heng Yang and to be working as a visiting undergraduate researcher at the computational robotics research group at the School of Engineering and Applied Sciences (SEAS), Harvard University. I'm applying for graduate programs now! I will receive my B.E. from Peking University in 2024. After that, I would like to continue my journey in the beautiful world of robotics. 🤖️🐱 | Email | Google Scholar | LinkedIn | CV | Github | Twitter | |
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*indicates joint first authors, Representative papers are highlighted |
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Yao Su*, Jiarui Li*, Ziyuan Jiao*, Meng Wang, Chi Chu, Hang Li, Yixin Zhu, Hangxin Liu IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 Extended version submitted to Transactions on Robotics (T-RO) Project Page / paper / video Best Paper Award Finalist on Mobile Manipulation at IROS 2023! Tackled sequential manipulation planning for UAMs, considering coordinated motions of the base, manipulator, and object. Using a VKC-based motion planning framework and a hierarchical control framework, we for the first time show new sequential manipulation capabilities for an over-actuated UAM in simulation and experiment. |
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Meng Wang* Yao Su*, Hang Li, Jiarui Li, Jixiang Liang, Hangxin Liu IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 paper / video Our novel modular robot system self-reconfigures and moves omnidirectionally through magnetic docking. The modules have steerable omni wheels and magnets on each corner. An optimization-based method distributes wheel heading direction for efficient movement. We validate the system's trajectory tracking and demonstrate stable caging formation and smooth transportation. |
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Wanlin Li*, Meng Wang*, Jiarui Li, Yao Su, Devesh K. Jha, Xinyuan Qian, Kaspar Althoefer, Hangxin Liu IEEE Robotics and Automation Letters (RA-L), 2023 paper / video Designed and built the L³F-TOUCH sensor, an enhanced version of the classic GelSight sensor, to acquire a much better three-axis force sensing capability while being light-weight, low-cost and wireless for the ease of replication and deployment. |
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Yao Su*, Chi Chu*, Meng Wang, Jiarui Li, Yang Liu, Yixin Zhu, Hangxin Liu IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 project page / paper / video Leveraging the input redundancy in over-actuated UAVs, we tackle downwash effects between propellers with a novel control allocation framework that explores the entire allocation space for an optimal solution that reduces counteractions of airflows. |
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Research Advisor: Prof. Heng Yang |
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Research Advisor: Dr. Yao Su, Dr. Hangxin Liu |
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● National Scholarship (highest scholarship for chinese college students) in 2023
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Beijing Institute for General Artificial Intelligence (BIGAI), Robotics Lab advisor: Dr. Yao Su, Dr. Hangxin Liu, Prof. Yixin Zhu, Prof. Song-Chun Zhu Designed and built a fully-actuated UAV platform composed of 2-DoF passive joint with commercial quadcopter; Implemented an controller to avoid the downwash disturbance during flipping motion; Further designed and built a novel aerial manipulator, and implemented the planning and control algorithms to perform challenging indoor sequential task (such as installing a light bulb on the ceiling). Accumulated experiences in mechatronic design and the implementation of control and planning algorithms. These hardware-related experiences can help me deal with problems like algorithm implementation efficiently. |
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Peking University, College of Engineering advisor: Prof. Aming Li, Dr. Lecheng Ruan, Prof. Long Wang We use Monte Carlo Simulation to explore multi-agent intelligence and game strategy's evolution on complex networks, including the Scale-Free network and Erdős-Rényi network, to explain the emergence of cooperation in sizeable structured groups like human society, where the Prison Dilemma is quite common. Compare the effects of different parameters and try to explain this phenomenon clearly experimentally and mathematically. |
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Peking University, Institute for Artificial Intelligence advisor: Prof. Yixin Zhu, Dr. Siyuan Huang course page / problem sets / final project Dealt with various kinds of quintessential CV tasks in the problem sets. In the final project, we used a transformer-based model to deal with transparent object segmentation problems. This task aims to develop a vision-based biological experiment monitoring system where transparent objects are pervasively used. Accumulated experiences in image processing, OpenCV, and PyTorch-based deep learning in CV field, including image classification, object detection, semantic segmentation, and other aspects during this final project and other course projects. |
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Beijing Institute for General Artificial Intelligence (BIGAI), Robotics Lab advisor: Dr. Yao Su, Dr. Meng Wang, Dr. Hangxin Liu Explored ground- and air-based modular robotics. Used graph theory related method to determine the optimal structure of our self-built novel multi-UAV system, and pave the way for building a multifunctional agile multi-UAV system. Designed and constructed an omni-wheeled dockable Wheel Mobile Robot (WMR). we investigated the docking issue and carried out the group transportation with our multi-WMR system. |
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Beijing Institute for General Artificial Intelligence (BIGAI), Robotics Lab advisor: Dr. Wanlin Li, Dr. Meng Wang, Dr. Hangxin Liu Designed and built the L³F-TOUCH sensor, an enhanced version of the classic GelSight sensor, to acquire a much better three-axis force sensing capability while being light-weight, low-cost and wireless for the ease of replication and deployment. Learned how to design and carried out persuasive experiments. Accumulated rich experience in hardware design and manipulator programming (sensing, planning, and actuating) with Moveit! and ROS. |
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Design and source code from Jon Barron's website |