Hiroyasu Tsukamoto

34 papers C 1Journal 25Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Conformal Koopman for Embedded Nonlinear Control with Statistical Robustness: Theory and Real-World Validation.
CoRR
Koki Hirano, Hiroyasu Tsukamoto
2026 J jnl
SCoUT: Scalable Communication via Utility-Guided Temporal Grouping in Multi-Agent Reinforcement Learning.
CoRR
Manav Vora, Gokul Puthumanaillam, Hiroyasu Tsukamoto, Melkior Ornik
2026 J jnl
Statistical Contraction for Chance-Constrained Trajectory Optimization of Non-Gaussian Stochastic Systems.
CoRR
Rihan Aaron D'Silva, Hiroyasu Tsukamoto
2025 — conf
Conformal Contraction for Robust Nonlinear Control with Distribution-Free Uncertainty Quantification.
CDC
Sihang Wei, Melkior Ornik, Hiroyasu Tsukamoto
2025 J jnl
Conformal Contraction for Robust Nonlinear Control with Distribution-Free Uncertainty Quantification.
CoRR
Sihang Wei, Melkior Ornik, Hiroyasu Tsukamoto
2025 J jnl
Contraction Actor-Critic: Contraction Metric-Guided Reinforcement Learning for Robust Path Tracking.
CoRR
Minjae Cho, Hiroyasu Tsukamoto, Huy Trong Tran
2025 J jnl
Statistical Guarantees in Data-Driven Nonlinear Control: Conformal Robustness for Stability and Safety.
CoRR
Ting-Wei Hsu, Hiroyasu Tsukamoto
2025 J jnl
Statistical Guarantees in Data-Driven Nonlinear Control: Conformal Robustness for Stability and Safety.
IEEE Control. Syst. Lett.
Ting-Wei Hsu, Hiroyasu Tsukamoto
2024 J jnl
Information-Optimal Multi-Spacecraft Positioning for Interstellar Object Exploration.
CoRR
Arna Bhardwaj, Shishir Bhatta, Hiroyasu Tsukamoto
2024 — conf
Regret-Optimal Defense Against Stealthy Adversaries: A System Level Approach.
CDC
Hiroyasu Tsukamoto, Joudi Hajar, Soon-Jo Chung, Fred Y. Hadaegh
2024 J jnl
Regret-Optimal Defense Against Stealthy Adversaries: A System Level Approach.
CoRR
Hiroyasu Tsukamoto, Joudi Hajar, Soon-Jo Chung, Fred Y. Hadaegh
2024 — conf
Robust Optimal Network Topology Switching for Zero Dynamics Attacks.
CDC
Hiroyasu Tsukamoto, Joshua D. Ibrahim, Joudi Hajar, James Ragan, Soon-Jo Chung, Fred Y. Hadaegh
2024 J jnl
Robust Optimal Network Topology Switching for Zero Dynamics Attacks.
CoRR
Hiroyasu Tsukamoto, Joshua D. Ibrahim, Joudi Hajar, James Ragan, Soon-Jo Chung, Fred Y. Hadaegh
2023 J jnl
CART: Collision Avoidance and Robust Tracking Augmentation in Learning-based Motion Planning for Multi-Agent Systems.
CoRR
Hiroyasu Tsukamoto, Benjamin Rivière, Changrak Choi, Amir Rahmani, Soon-Jo Chung
2023 — conf
CaRT: Certified Safety and Robust Tracking in Learning-Based Motion Planning for Multi-Agent Systems.
CDC
Hiroyasu Tsukamoto, Benjamin Rivière, Changrak Choi, Amir Rahmani, Soon-Jo Chung
2022 J jnl
Interstellar Object Accessibility and Mission Design.
CoRR
Benjamin P. S. Donitz, Declan Mages, Hiroyasu Tsukamoto, Peter Dixon, Damon Landau, Soon-Jo Chung, Erica Bufanda, Michel D. Ingham, Julie C. Castillo-Rogez
2022 J jnl
Neural-Rendezvous: Learning-based Robust Guidance and Control to Encounter Interstellar Objects.
CoRR
Hiroyasu Tsukamoto, Soon-Jo Chung, Benjamin Donitz, Michel D. Ingham, Declan Mages, Yashwanth Kumar Nakka
2021 — conf
A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability.
CDC
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine, Chuchu Fan
2021 J jnl
A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability.
CoRR
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine, Chuchu Fan
2021 J jnl
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview.
CoRR
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
2021 J jnl
Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview.
Annu. Rev. Control.
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
2021 J jnl
Imitation Learning for Robust and Safe Real-time Motion Planning: A Contraction Theory Approach.
CoRR
Hiroyasu Tsukamoto, Soon-Jo Chung
2021 — conf
Learning-based Adaptive Control using Contraction Theory.
CDC
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
2021 J jnl
Learning-based Adaptive Control via Contraction Theory.
CoRR
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
2021 J jnl
Learning-based Robust Motion Planning With Guaranteed Stability: A Contraction Theory Approach.
IEEE Robotics Autom. Lett.
Hiroyasu Tsukamoto, Soon-Jo Chung
2021 J jnl
Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach.
IEEE Control. Syst. Lett.
Hiroyasu Tsukamoto, Soon-Jo Chung
2021 J jnl
Neural Stochastic Contraction Metrics for Learning-Based Control and Estimation.
IEEE Control. Syst. Lett.
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
2021 C conf
Neural Stochastic Contraction Metrics for Learning-based Control and Estimation.
ACC
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
2021 J jnl
Robust Controller Design for Stochastic Nonlinear Systems via Convex Optimization.
IEEE Trans. Autom. Control.
Hiroyasu Tsukamoto, Soon-Jo Chung
2021 — conf
Safe Motion Planning with Tubes and Contraction Metrics.
CDC
Sumeet Singh, Hiroyasu Tsukamoto, Brett T. Lopez, Soon-Jo Chung, Jean-Jacques E. Slotine
2020 J jnl
Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach.
CoRR
Hiroyasu Tsukamoto, Soon-Jo Chung
2020 J jnl
Neural Stochastic Contraction Metrics for Learning-based Robust Control and Estimation.
CoRR
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
2020 J jnl
Robust Controller Design for Stochastic Nonlinear Systems via Convex Optimization.
CoRR
Hiroyasu Tsukamoto, Soon-Jo Chung
2019 — conf
Convex Optimization-based Controller Design for Stochastic Nonlinear Systems using Contraction Analysis.
CDC
Hiroyasu Tsukamoto, Soon-Jo Chung