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Siqi Shang 尚思齐 siqi dot shang at utexas dot edu |
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I am a Ph.D. student in Electrical and Computer Engineering at The University of Texas at Austin, advised by Professor Lillian Chin in the MERGe Lab. My research focuses on robotic manipulation, tactile sensing, and physically-grounded robot learning. Previously, I received my Master's degree in computer science from Columbia University, where I worked in the Robotic Manipulation and Mobility (ROAM) Lab with Professor Matei Ciocarlie. Before that, I earned my Bachelor's degree in computer science at CUHK, where I worked closely with Professor Darwin Lau and Professor Zili Shao. |
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News2026-06 We are organizing the Workshop on RL in the Era of IL at ICRA 2026! 2026-05 Excited to be interning at Amazon Robotics' Innovation Lab this summer! 2026-04 FORTE is featured on UT Austin News and UT Austin's Instagram! 2025-12 FORTE is accepted to IEEE Robotics and Automation Letters (RA-L). 2024-11 ChatEMG is accepted to IEEE Robotics and Automation Letters (RA-L). 2024-08 Started my Ph.D. at The University of Texas at Austin. 2024-08 R×R is published in Autonomous Robots (RSS 2023 Special Issue). 2023-10 Our work on dexterous in-hand manipulation is featured in TIME's Best Inventions of 2023. 2023-04 Our work on dexterous manipulation with tactile sensing is featured on Columbia Engineering News. 2023-03 Our work on sampling-based RL for dexterous manipulation is accepted to RSS 2023. |
Publications |
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FORTE: Tactile Force and Slip Sensing on Compliant Fingers for Delicate Manipulation
Siqi Shang, Mingyo Seo, Yuke Zhu, Lillian Chin IEEE Robotics and Automation Letters (RA-L), 2026 Presented at ICRA 2026 project page / arXiv / RA-L |
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ChatEMG: Synthetic Data Generation to Control a Robotic Hand Orthosis for Stroke
Jingxi Xu*, Runsheng Wang*, Siqi Shang*, Ava Chen, Lauren Winterbottom, To-Liang Hsu, Wenxi Chen, Khondoker Ahmed, Pedro Leandro La Rotta, Xinyue Zhu, Dawn M. Nilsen, Joel Stein, Matei Ciocarlie IEEE Robotics and Automation Letters (RA-L), 2024 Presented at ICRA 2025 project page / arXiv |
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R×R: Rapid eXploration for Reinforcement Learning via Sampling-based Reset Distributions and Imitation Pre-training
Gagan Khandate*, Tristan Luca Saidi*, Siqi Shang*, Eric T. Chang, Yang Liu, Seth Dennis, Johnson Adams, Matei Ciocarlie Autonomous Robots, 2024 (RSS 2023 Special Issue) arXiv / Auton. Robots |
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Sampling-based Exploration for Reinforcement Learning of Dexterous Manipulation
Gagan Khandate*, Siqi Shang*, Eric T. Chang, Tristan Luca Saidi, Johnson Adams, Matei Ciocarlie Robotics: Science and Systems (RSS), 2023 project page / arXiv |
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Tri-Space Operational Control of Redundant Multilink and Hybrid Cable-Driven Parallel Robots Using an Iterative-Learning-Based Reactive Approach
Dipankar Bhattacharya, Yin Pok Chan, Siqi Shang, Yuen Shan Chan, Ying Tan, Darwin Lau IEEE Transactions on Control Systems Technology (TCST), 2023 TCST / video |
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An Old Friend is Better Than Two New Ones: Dual-Screen Android
Zizhan Chen, Siqi Shang, Qihong Wu, Jin Xue, Zhaoyan Shen, Zili Shao ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), 2022 LCTES / artifact |
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LiteIndex: Memory-Efficient Schema-Agnostic Indexing for JSON Documents in SQLite
Siqi Shang, Qihong Wu, Tianyu Wang, Zili Shao Asia and South Pacific Design Automation Conference (ASP-DAC), 2021 ASP-DAC / slides |
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