Hiroyasu Tsukamoto
California Institute of Technology, University of Illinois Urbana-Champaign
Papers
2
Total Citations
10
H-Index
2
About
Hiroyasu Tsukamoto is a rising leader in safe and secure autonomy, whose work bridges control theory, robotics, and cyber-physical systems. His research centers on two critical frontiers: **provably safe motion planning under uncertainty** and **resilience against stealthy cyber-attacks**. In his highly cited 2021 tutorial, Tsukamoto synthesized key results on combining contraction metrics with tube-based model predictive control, offering a rigorous framework for guaranteeing safety and stability despite modeling errors or external disturbances—a foundational contribution for safety-critical applications like autonomous driving and aerospace. His more recent work (2024) tackles the insidious threat of zero dynamics attacks (ZDAs), which exploit internal system dynamics to remain undetected. By developing robust optimal network topology switching strategies, he provides a proactive defense mechanism that can neutralize these attacks before they cause harm. With over 10 citations already on his early-career publications, Tsukamoto’s impact is growing rapidly. His ability to unify theoretical rigor with practical attack-defense paradigms positions him as a key figure shaping the next generation of trustworthy autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Safe Motion Planning with Tubes and Contraction Metrics8 citations · 2021
- 2Robust Optimal Network Topology Switching for Zero Dynamics Attacks2 citations · 2024