Yiyang Lyu
Papers
1
Total Citations
7
H-Index
1
About
Yiyang Lyu is a rising researcher in robotics and autonomous systems, with a focus on model predictive control (MPC) and GPU-accelerated simulation. His most-cited work, "Global path guided model predictive path integral control: Applications to GPU-parallelizable robot simulation systems" (2024, 7 citations), introduces a novel framework that integrates global path planning with sampling-based MPC, enabling real-time, parallelized control for complex robotic tasks. This contribution addresses critical challenges in computational efficiency and robustness for autonomous navigation and manipulation. Lyu's research bridges the gap between theoretical control methods and practical deployment, leveraging GPU parallelism to accelerate simulation and decision-making. Though early in his career, his work has already garnered attention for its potential to scale MPC to high-dimensional systems, such as legged robots and autonomous vehicles. By combining global guidance with local optimization, Lyu offers a pathway to safer, more adaptive robot behavior in dynamic environments. His achievements signal a promising trajectory in advancing real-time, data-driven control for next-generation robotics.
Research Focus
Key Achievements
Top Papers
- 1