Chen Wang is a robotics researcher-entrepreneur and Assistant Professor at University at Buffalo who builds algorithms and systems to push mobile robots toward human-level autonomy. With a PhD from NTU and postdoctoral training at Carnegie Mellon, he focuses on perception, spatial reasoning, and real-time decision-making that fuse neural and symbolic memory for spatial commonsense. He founded the Spatial AI & Robotics Lab and the open-source PyPose library for differentiable robotics, translating research into reusable tools and community-facing software. Active in the field community as associate editor for IJRR and IEEE Transactions on Robotics and co-chair for IEEE RAS computer vision, he shapes both scholarship and standards. Based in Buffalo with nine years of experience, he blends rigorous academic work with practical system-building that targets unstructured, dynamic environments. An often-overlooked strength is his emphasis on integrating proprioceptive and geometric cues with semantic memory—bridging low-level sensing and high-level reasoning in deployed robot systems.
9 years of coding experience
Postdoctoral Fellow Robotics, Postdoctoral Fellow Robotics at Carnegie Mellon University School of Computer Science
Bachelor's degree Robotics and Automation Engineering, Bachelor's degree Robotics and Automation Engineering at Beijing Institute of Technology
Doctor of Philosophy - PhD Robotics, Doctor of Philosophy - PhD Robotics at Nanyang Technological University Singapore
Contributions:4 commits, 3 pushes, 1 branch in 4 months
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