most citedPath Integral Control for Hybrid Dynamical Systems

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

math.OC2026

Concentration of Stochastic System Trajectories with Time-varying Contraction Conditions

Zishun Liu, Liqian Ma, Hongzhe Yu +1

We establish two concentration inequalities for nonlinear stochastic system under time-varying contraction conditions. The key to our approach is an energy function termed Averaged…

cs.RO2026

Path Integral Particle Filtering for Hybrid Systems via Saltation Matrices

Karthik Shaji, Sreeranj Jayadevan, Bo Yuan +2

State estimation for hybrid systems that undergo intermittent contact with their environments, such as extraplanetary robots and satellites undergoing docking operations, is diffic…

cs.RO2024

Efficient Iterative Proximal Variational Inference Motion Planning

Zinuo Chang, Hongzhe Yu, Patricio Vela +1

We cast motion planning under uncertainty as a stochastic optimal control problem, where the optimal posterior distribution has an explicit form. To approximate this posterior, thi…

cs.RO20241 cited

Path Integral Control for Hybrid Dynamical Systems

Hongzhe Yu, Diana Frias Franco, Aaron M. Johnson +1

This work introduces a novel paradigm for solving optimal control problems for hybrid dynamical systems under uncertainties. Robotic systems having contact with the environment can…

math.OC2024

Optimal Covariance Steering of Linear Stochastic Systems with Hybrid Transitions

Hongzhe Yu, Diana Frias Franco, Aaron M. Johnson +1

This work addresses the problem of optimally steering the state covariance of a linear stochastic system from an initial to a target, subject to hybrid transitions. The nonlinear a…