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

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Safe Motion Planning with Tubes and Contraction Metrics
8 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: California Institute of Technology, University of Illinois Urbana-Champaign

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago