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

25 February 2021

Papers citing "Learning-based Robust Motion Planning with Guaranteed Stability: A Contraction Theory Approach"

5 / 5 papers shown

Title
CaRT: Certified Safety and Robust Tracking in Learning-based Motion Planning for Multi-Agent Systems Hiroyasu Tsukamoto Benjamin Rivière Changrak Choi A. Rahmani Soon-Jo Chung 13 0 0 13 Jul 2023
Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory Glen Chou N. Ozay Dmitry Berenson 19 22 0 14 Jun 2022
Learning Contraction Policies from Offline Data Navid Rezazadeh Maxwell Kolarich Solmaz S. Kia Negar Mehr OffRL 21 7 0 11 Dec 2021
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC Andrea Tagliabue Dong-Ki Kim M. Everett Jonathan P. How 56 22 0 21 Sep 2021
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How 146 509 0 04 May 2018