Hiroyasu Tsukamoto

Conformal Koopman for Embedded Nonlinear Control with Statistical Robustness: Theory and Real-World Validation

Statistical Contraction for Chance-Constrained Trajectory Optimization of Non-Gaussian Stochastic Systems

Learning-based Robust Motion Planning With Guaranteed Stability: A Contraction Theory Approach

This letter presents Learning-based Autonomous Guidance with RObustness and Stability guarantees (LAG-ROS), which provides machine learning-based nonlinear motion planners with formal robustness and stability guarantees, by designing a differential Lyapunov function using contraction theory. LAG-ROS