Bowen Jiang

I am a Master's student at the Robotics Institute (RI) at Carnegie Mellon University, advised by Prof. David Held and mentored by Wenxuan Zhou. My current research focuses on reinforcement learning and manipulation.

Prior to CMU, I earned my B.S. in Engineering at Harvey Mudd College with distinction in 2022, with a concentration in Visual Arts.

Email  /  GitHub  /  LinkedIn

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Research

I'm interested in anything with arms and/or legs.

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HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation


Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton*, David Held*
Conference of Robot Learning 2023 (Oral), 2023
arxiv / code / website /

We propose a spatially-grounded and temporally-abstracted action representation with a hybrid discrete-continuous reinforcement learning framework. Keywords: RL with 3D Vision, Action Representation, Contact-rich manipulation
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POIS: Policy-Oriented Instance Segmentation for Ambidextrous Robot Picking


Guangyun Xu*, Yi Tao*, Bowen Jiang*, Peng Wang, Jun Zhong
IEEE International Conference on Robotics and Automation (ICRA) 2021, 2021
code / website /

We propose policy-oriented Instance Segmentation for Ambidextrous Robot Picking, which predicts a pair of target masks allowing ambidextrous robots to pick objects in cluttered scenes without mutual interference.

Design and source code from Jon Barron's website