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个人简介
I'm interested in developing capable robot manipulation systems that learn from raw sensory inputs efficiently, are compliant with human preferences, and can generalize to diverse unseen scenarios. To this end, I have worked on learning goal-conditioned manipulation from human videos, exploration for robot learning, and improving efficiency through semantic augmentations and novel policy architectures. I have eclectic research interests, and have also worked on robustness in machine learning, and improving sample efficiency, scalability, and representations in reinforcement learning.
My research has received a Best Paper in Robot Manipulation Finalist at ICRA, the Outstanding Presentation award at NeurIPS Robot Learning Workshop, and has been covered by several media outlets like TechCrunch, ACM, IEEE, and VentureBeat among others.
My research has received a Best Paper in Robot Manipulation Finalist at ICRA, the Outstanding Presentation award at NeurIPS Robot Learning Workshop, and has been covered by several media outlets like TechCrunch, ACM, IEEE, and VentureBeat among others.
研究兴趣
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2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRApp.3029-3036, (2023)
International Conference on Learning Representations (ICLR) (2022)
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作者统计
#Papers: 47
#Citation: 743
H-Index: 15
G-Index: 27
Sociability: 4
Diversity: 2
Activity: 59
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