Weihang Guo

I am a first year Ph.D. student at Rice University advised by Prof. Lydia Kavraki. I am also honored to collaborate with Prof. Zak Kingston and Prof. Kaiyu Hang.

My research interests include robot safety, high-performance robotic systems, and multi-robot planning.

I am a maintainer of The Open Motion Planning Library (OMPL).

Email  /  Scholar  /  Github

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Honors and Awards

  • Jason Chahin Innovation Scholar, Rice University (Feb 2025)
  • Donald J. Hillman Memorial Award in AI, Lehigh University (Apr 2023)
  • Recognition for Outstanding Academic Achievement, Lehigh University (Aug 2022)
  • Blue Robotics Special Awards, Robosub 2022 (Aug 2022)
  • 2nd place on 10th F1TENTH Autonomous Grand Prix, ICRA 2022 (Jul 2022)
  • Mountaintop Research Fellowship, Lehigh University (May 2022)
Efficient Multi-Robot Motion Planning for Manifold-Constrained Manipulators by Randomized Scheduling and Informed Path Generation
Weihang Guo, Zachary Kingston, Kaiyu Hang, Lydia E. Kavraki
IEEE Robotics and Automation Letters (RA-L), 2026

To be appear.
Python Bindings for a Large C++ Robotics Library: The Case of OMPL
Weihang Guo, Theodoros Tyrovouzis, Lydia E. Kavraki
2026 IEEE International Conference on Robotics and Automation (ICRA), 2026

To be appear.
CaStL: Constraints as Specifications Through LLM Translation for Long-Horizon Task and Motion Planning
Weihang Guo, Zachary Kingston, Lydia E. Kavraki
2025 IEEE International Conference on Robotics and Automation (ICRA), 2025

Paper

Invited Talks

  • Texas Regional Robotics Symposium (TEROS), Spotlight Talk (April 2025)

Reviewing

  • IEEE Robotics and Automation Letters (RA-L)
  • International Conference on Robotics and Automation (ICRA), 2025
  • Workshop on Motion Planning and Control via Parallelization (Workshop @ RSS), 2025
  • Workshop on Robot Planning in the Era of Foundation Models (FM4RoboPlan @ RSS), 2025

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