Luo, Wenhao

Educational Background

Ph.D., Robotics, Carnegie Mellon University – 2021
M.S., Robotics, Carnegie Mellon University – 2016
B.E., Measurement & Control Technology and Instruments, Central South University – 2012

- Robotics
- Cyber-physical systems
- Multi-robot and multi-agent systems
- Machine learning
- Control theory

Faculty Early Career Development (CAREER) Award, National Science Foundation – 2026
Best Conference Paper Award Finalist & Best Paper Award Finalist on Multi-Robot Systems, Institute of Electrical and Electronics Engineers International Conference on Robotics and Automation – 2025
College of Computing and Informatics Outstanding Faculty Research Award, University of North Carolina Charlotte – 2024
Best Student Paper Runner Up Award, International Conference on Autonomous Agents and Multiagent Systems – 2023
New Faculty Highlights, Association for the Advancement of Artificial Intelligence – 2023

H. Liu, Y. Yang, Y. Zhang, Y. Lyu, and W. Luo. 2026. “Time-Aggregated Connectivity Maintenance for Multi-Robot Networks,” in Robotics: Science and Systems (RSS).
H. Zhou, Y. Zhang, C. Reid, and W. Luo. 2026. “Certifiable Safe Model-Based Reinforcement Learning with Control-Affine Dynamics Approximation,” in IEEE/RSJ Int’l Conf. on Intelligent Robots and Systems (IROS).
S. Jo, Y. Zhang, Y. Yang, and W. Luo. 2026. “Geometry-Aware Control Barrier Functions for Collision Avoidance via Bernstein Polynomial Approximations,” in IEEE Intl. Conf. on Robotics and Automation (ICRA).
W. Luo, W. Sun, and A. Kapoor. 2020. “Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates,” Neural Information Processing Systems (NeurIPS).
W. Luo and K. Sycara. 2018. “Adaptive Sampling and Online Learning in Multi-Robot Sensor Coverage with Mixture of Gaussian Processes,” in IEEE Intl. Conf. on Robotics and Automation (ICRA).