H. Eric Tseng
Papers
1
Total Citations
2
H-Index
1
About
H. Eric Tseng is a prominent researcher specializing in autonomous vehicle safety, motion planning, and control systems. His work sits at the critical intersection of robotics, formal verification, and real-time control theory, addressing some of the most challenging problems in making self-driving vehicles both safe and computationally feasible. His notable contribution, "REFINE: Reachability-based Trajectory Design using Robust Feedback Linearization and Zonotopes" (2022), tackles one of autonomous driving's fundamental challenges: performing real-time receding horizon motion planning while providing rigorous safety guarantees. Traditional approaches rely on computationally expensive online numerical integration with fine time discretization, making real-time deployment difficult. Tseng's work elegantly addresses this bottleneck by combining robust feedback linearization with zonotopic reachability analysis, enabling tractable yet provably safe trajectory generation for autonomous vehicles. While his REFINE paper is in its early citation stages with 2 citations, the technical depth and practical relevance of the work positions it well for significant future impact within the autonomous driving and formal methods communities. Tseng's research represents an important bridge between theoretical safety guarantees and the practical computational demands of real-world autonomous systems, making his contributions highly relevant to researchers and engineers working on next-generation vehicle autonomy.
Research Focus
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Top Papers
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