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Senior Research Scientist in Robotics and Embodied Artificial Intelligence, with specialization in dexterous hand manipulation. He is broadly interested in developing artificial agents that are cheap,
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2025-12-18 15:02:48
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Vikash Kumar: Senior Research Scientist in Robotics and Embodied AI Vikash Kumar Highlights Impacts Publications Thesis Resume About me (Click icons to play videos) Dexterous Manipulation ALOHA: Precise Bi- manual Manipulation In-hand Manipulation from Depth Learning via sub-steps guidance Reset-Free Multi-Task Learning Planning with Deep Dynamics Models Optimal control with learned local models Foundation Models for Robot Learning R3M: Universal Visu- ual Representation Text-Image Rewards & Representations GENAUG: Retarget via Generative AI VIP: Visual Rewards & Representations ZEST: Zero-Shot Task Specification RRL: Resnet as representation for RL Multi-Task / Hierarchical Learning CACTI: Multi-Task Multi-Scene IL Reset-Free Multi-Task Learning Relay Policy Learning Learning From Play Manipulation via Multi-Task Benchmarking RB2: Robotic Bench- marking with a Twist Robotics Bench- marks for Learning Multi-Goal RL ...
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