Weihang Guo
I am an incoming Ph.D. student at Rice University advised by Lydia Kavraki. My research centers on long-horizon task and motion planning in real-world execution. I am also honored to collaborate with Zak Kingston and Kaiyu Hang.
I obtained my Master's degree in Computer Science from Rice and a B.S. in Mathematics and Computer Science from Lehigh University under the supervision of Rosa Zheng. There, I worked on perception and control, led an autonomous racing team, and co-founded the Lehigh Underwater Robotics team. These efforts earned me the Donald J. Hillman Memorial Award, which is given to the most outstanding senior in AI at Lehigh University.
I enjoy rock climbing, road trips, listening to K-pop.News
- Feb 2025: I am hired as a research engineer at Kavraki Lab, working on OMPL Python bindings.
- Jan 2025: Excited to share that my paper CaStL: Constraints as Specifications through LLM Translation for Long-Horizon Task and Motion Planning has been accepted to ICRA 2025!
Selected Projects
Weihang Guo, Zachary Kingston, and Lydia E. Kavraki
- Accepted to ICRA 2025. Pre-print on arXiv
Weihang Guo, Zachary Kingston, Kaiyu Hang, and Lydia E. Kavraki
- Submitted to RA-L, with a pre-print on arXiv
Team Leader, Instructed by Prof. Rosa Zheng
- Proposed and implemented an autonomous system that can detect opponent vehicles and switch between overtaking and optimal path; Implemented and tuned a PID control; Utilized particle filter and Google Cartographer for localization and SLAM.
Software Team Leader, Instructed by Prof. Rosa Zheng
- Collected and augmented data on underwater left/right turn signs, and tuned a YOLO model to detect them; Deployed the model on Nvidia Jetson Nano.
Selected Honors
- Jason Chahin Innovation Scholar, Rice University
- Donald J. Hillman Memorial Award in AI, Lehigh University
- Mountaintop Research Fellowship, Lehigh University
- Certificate of Recognition for Outstanding Academic Achievement, Lehigh University
- 2nd place at 10th F1TENTH Autonomous Grand Prix, ICRA 2022
- Blue Robotics Special Awards, Robosub 2022
Teaching Experience
- TA for COMP 450: Algorithmic Robotics | Fall 2024
- TA for ECE 450: Internet of Things (Graduate Level) | Spring 2023
- Head TA for ENGR 005: Autonomous Driving and Robotic Racing | Fall 2022
- TA for CSE 498: Computer Vision (Graduate Level) | Spring 2022
- Class Grader
- CSE140: Foundations of Discrete Structures and Algorithms: Spring & Fall 2022, Spring 2023
- CSE202: Computer Organization and Architecture: Spring 2022
