Yi-Hsuan Chen
Papers
1
Total Citations
2
H-Index
1
About
Yi-Hsuan Chen is an emerging researcher in the field of robotics and control theory, with a focused specialization in safe navigation and motion planning for autonomous systems. Their most notable work centers on the development of Control Barrier Functions (CBFs), a mathematically rigorous framework for generating safe control policies in complex environments. In their highly technical 2025 paper, "Control Barrier Functions via Minkowski Operations for Safe Navigation among Polytopic Sets," Chen advances the state of the art by incorporating system dynamics, control constraints, and geometric considerations to construct safe forward-invariant sets — a critical challenge when navigating around polytopic obstacles. This work demonstrates a sophisticated synthesis of convex geometry, specifically Minkowski operations, with control-theoretic safety guarantees. Although early in citation accumulation with 2 citations to date, the recency of this contribution suggests its influence is still unfolding within the robotics and control communities. Chen's research addresses fundamental problems in autonomous robot navigation, making their work particularly relevant to researchers and practitioners developing collision-free motion planning algorithms for real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1