Qianwei(Robin) Wang 王乾玮

I am an incoming ECE PhD student in Princeton University funded by Gordon Wu Fellowship. I received my B.S. in Computer Science from University of Michigan,Ann Arbor.

I have previously collaborated with Prof. Vineet R. Kamat, Prof. Carol C. Menassa, Prof. Katia Sycara， Dr. Yifan Xu, Dr. Bowen Li, and Dr. Yaqi Xie across projects in robotics and related areas.

Email / CV / Scholar / Github

Research

Build models that reason about the world.

Build robots that improve human life.

Build products that shape a better world.

	UniPred: Unifying Deep Predicate Invention with Foundation Models Qianwei Wang, Bowen Li, Zhanpeng Luo, Yifan Xu, Alexander Gray, Tom Silver, Sebastian Scherer, Katia Sycara, Yaqi Xie, under review, 2026 / project page / arXiv Unifying deep predicate invention with foundation models for long horizon roboticplanning problems.
	OVAMOS: A Framework for Open-Vocabulary Multi-Object Search in Unknown Environments Qianwei Wang, Yifan Xu, Vineet Kamat, Carol Menassa, ICRA FMNS(ws), 2025 / arXiv A model-based framework designed for robust object search in real world.
	Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigation Yifan Xu, Ziming Luo, Qianwei Wang, Vineet Kamat, Carol Menassa, ICRA, 2025 project page / arXiv An end-to-end framework for generating the scene graph from point cloud directly.
	CoNav Chair: Development and Evaluation of a Shared Control-based Wheelchair for the Built Environment Yifan Xu, Qianwei Wang, Jordan Lillie Vineet Kamat, Carol Menassa, Clive D’Souza IEEE Transactions on Human-Machine Systems(under review), 2025 / arXiv The CoNav system demonstrated acceptable safety and performance laying the foundation for subsequent usability testing with people with disabilities.
	Socially-Aware Shared Control Navigation for Assistive Mobile Robots in the Built Environment" Yifan Xu, Qianwei Wang, Vineet Kamat, Carol Menassa, JCCE(Journal of Comupting in Civil Engineering), 2025 / arXiv A Socially-aware Shared Control-based Model Predictive Control with Dynamic Control Barrier Function (SS-MPC-DCBF) to adjust movements in real-time, integrating user preferences for safer, more autonomous navigation