Liuao Pei
Papers
3
Total Citations
139
H-Index
3
About
Liuao Pei is a rising researcher in robotics and autonomous systems, whose work focuses on solving the fundamental challenges of motion planning in unstructured environments. Pei’s primary contributions lie in developing efficient, spatial-temporal trajectory planners for autonomous vehicles and multi-robot teams, enabling them to navigate complex, unpredictable settings without relying on pre-defined paths. His most impactful work, “An Efficient Spatial-Temporal Trajectory Planner for Autonomous Vehicles in Unstructured Environments,” has garnered 99 citations, introducing a novel method that uses compact convex approximations to achieve optimal, real-time planning. Pei has also advanced collaborative robotics with his work on “Collaborative Planning for Catching and Transporting Objects in Unstructured Environments” (27 citations), which proposes trajectory planning for non-holonomic teams performing tasks like wilderness rescue. Additionally, his paper “A Linear and Exact Algorithm for Whole-Body Collision Evaluation via Scale Optimization” (13 citations) addresses a critical bottleneck in robotics by providing an exact, computationally efficient method for collision evaluation, a key component for safe whole-body planning. Through these contributions, Pei is shaping the future of autonomous systems that can operate reliably in the real world.
Research Focus
Key Achievements
Top Papers
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