Yang Sui

Rutgers, The State University of New Jersey

Papers

Total Citations

H-Index

About

Yang Sui is a rising researcher in robotics and motion planning, whose work centers on developing efficient algorithms for high-dimensional trajectory computation. His most notable contribution is the MOPED engine—a flexible motion planning framework that addresses the computational bottlenecks of sampling-based planners by optimizing kernel operations across varying dimensional spaces. This innovation reduces the intensive computation typically required for collision-free, high-quality robotic path generation, making real-time planning more feasible for complex systems. With his 2024 paper already garnering 4 citations, Sui’s work is gaining traction for its practical impact on autonomous navigation and manipulation. His research promises to accelerate progress in robotics by enabling faster, more adaptable motion planning, a critical step toward deploying robots in dynamic, unstructured environments.