基本信息
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Career Trajectory
Bio
My Ph.D. thesis focuses on how we can give humans a better understanding of what a robot has learned and what its capabilities are. For instance, engineers should have an idea of which situations their robot may act incorrectly in, and end-users should be able to anticipate how a robot they are interacting with will behave in various situations. This is essential for building trust, enabling seamless human-robot collaboration, verifying what a robot has learned, and deploying robots in safety-critical situations.
I previously worked on teaching robots how to manipulate deformable objects (knot tying and towel folding) through learning from demonstrations. While at Stanford, I applied machine learning to problems in clinical decision making and information flow tracking.
Outside of academics, I enjoy running, yoga, tea, baking, and board game nights!
I previously worked on teaching robots how to manipulate deformable objects (knot tying and towel folding) through learning from demonstrations. While at Stanford, I applied machine learning to problems in clinical decision making and information flow tracking.
Outside of academics, I enjoy running, yoga, tea, baking, and board game nights!
Research Interests
Papers共 34 篇Author StatisticsCo-AuthorSimilar Experts
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SCIENCE ROBOTICSno. 89 (2024): eadi8022-eadi8022
Dhruva Tirumala,Markus Wulfmeier,Ben Moran,Sandy Huang,Jan Humplik,Guy Lever,Tuomas Haarnoja,Leonard Hasenclever,Arunkumar Byravan,Nathan Batchelor, Neil Sreendra, Kushal Patel,
CoRR (2024)
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ICRA 2024 (2024)
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ICLR 2024 (2023)
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arXiv (Cornell University) (2023)
arXiv (Cornell University) (2023)
Annual Meeting of the Cognitive Science Society (2022): 390-406
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user-5f8cf9244c775ec6fa691c99(2021)
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