Past Events

Qualifying Exam

Interleaving Learning and Search for Solving Long-Horizon Episodic Robotic Planning Tasks


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Thursday, May 12, 2022, 02:30pm - 04:30pm


Speaker: Baichuan Huang

Location : Virtual


Proffesor Jinjin Yu (Advisor)

Professor Abdeslam Boularias

Professor Kostas Bekris

Professor Karthik Srikanta



Event Type: Qualifying Exam

Abstract: Robots need to compute high-quality solutions or plans quickly to provide meaningful assistance in solving household and industrial tasks. However, computing high-quality, long-horizon plans are rather challenging. In my research, I attempt to harness the power of deep learning, reinforcement learning, and Monte Carlo tree search to tackle long-horizon robot planning tasks. This presentation will discuss our proposed solutions, employing the tools mentioned earlier that effectively solve two long-horizon robot manipulation problems: de-clutter and object retrieval.


Rutgers University School of Arts and Sciences

Contact  Professor Jingjin Yu