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I am a final-year PhD candidate in Computer Science at Rutgers University, advised by Prof. Jingjin Yu and collaborated with Prof. Abdeslam Boularias. I spent six months as an intern at Coupang, working on bin picking, focusing on manipulation and perception. I spent eight months as a research intern at Mitsubishi Electric Research Laboratories, focused on object tracking and dynamic grasping with Dr. Siddarth Jain Previously, I earned a Master's at Brown University, working on drone technologies and mixed reality with Prof. Stefanie Tellex
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GitHub
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I'm interested in robot manipulation, task planning, and perception. My research focuses on equipping robotic manipulators with super-human intelligence for tasks that are essential in both industrial and domestic settings. Additionally, I explore active vision to augment manipulation capabilities. My methodological framework spans long-horizon planning and employs a range of tools, including deep learning models and reinforcement learning strategies inspired by AlphaGo, as well as classical planning solutions. These methods undergo rigorous validation on real and simulated robotic platforms, thereby confirming their robustness and adaptability to dynamic environments. |
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Kai Gao, Zihe Ye, Duo Zhang, |
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Haonan Chang, Kai Gao, Kowndinya Boyalakuntla, Alex Lee, |
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Xiang Zhang, Siddarth Jain, |
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Kai Gao, Darren Lau, |
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Yuhan Zhao, |
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Shuai D Han, |
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Luke Eller*, Théo Guérin*, |
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Yoonseon Oh, Roma Patel, Thao Nguyen, |
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Layout from Jon Barron, style from Shuran Song. Last update on Aug 2024 |