Hiroyasu Tsukamoto
Orcid: 0000-0002-6337-2667
According to our database1,
Hiroyasu Tsukamoto
authored at least 16 papers
between 2019 and 2023.
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Bibliography
2023
CART: Collision Avoidance and Robust Tracking Augmentation in Learning-based Motion Planning for Multi-Agent Systems.
CoRR, 2023
CaRT: Certified Safety and Robust Tracking in Learning-Based Motion Planning for Multi-Agent Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Neural-Rendezvous: Learning-based Robust Guidance and Control to Encounter Interstellar Objects.
CoRR, 2022
2021
IEEE Trans. Autom. Control., 2021
Learning-based Robust Motion Planning With Guaranteed Stability: A Contraction Theory Approach.
IEEE Robotics Autom. Lett., 2021
IEEE Control. Syst. Lett., 2021
Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach.
IEEE Control. Syst. Lett., 2021
Imitation Learning for Robust and Safe Real-time Motion Planning: A Contraction Theory Approach.
CoRR, 2021
Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview.
Annu. Rev. Control., 2021
A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Neural Stochastic Contraction Metrics for Learning-based Robust Control and Estimation.
CoRR, 2020
2019
Convex Optimization-based Controller Design for Stochastic Nonlinear Systems using Contraction Analysis.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019