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People and Robots Teaching and Learning (PoRTaL) group is part of Cornell Computer Science. Our mission is to enable robots to work seamlessly alongside human partners in the wild. To this end, our work focuses on imitation learning, decision making and human-robot interaction. We are passionate about both theory and algorithms that equip robots with skills to work with people. We focus on settings where a robot continually interacts with humans and its environment on domains such as collaborative mobile manipulation.

news

Nov 23, 2022 Unveiling our first robot HAL (Home Apprentice Learner)! Checkout how we are teaching HAL from demonstrations
Nov 20, 2022 We are coming to NeurIPS. Come checkout our two papers - Sequence Model Imitation Learning with Unobserved Contexts and Minimax Optimal Online Imitation Learning via Replay Estimation!
Aug 1, 2022 Welcome founding members of PoRTaL: Yuki Wang, Kushal Kedia, Juntao Ren, Kelly Chen, Nathaniel Chin, Edward Gu!
Jul 6, 2022 The PoRTaL is now open!