CS Events Monthly View
Qualifying ExamInterleaving Learning and Search for Solving Long-Horizon Episodic Robotic Planning Tasks |
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Thursday, May 12, 2022, 02:30pm - 04:30pm |
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Speaker: Baichuan Huang
Location : Virtual
Committee:
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.
Organization:
Rutgers University School of Arts and Sciences
Contact Professor Jingjin Yu
Department of Computer Science