APPL: Adaptive Planner Parameter Learning

Author:

Xiao Xuesu,Wang Zizhao,Xu Zifan,Liu Bo,Warnell GarrettORCID,Dhamankar Gauraang,Nair Anirudh,Stone PeterORCID

Funder

University of Texas at Austin

National Science Foundation

Robert Bosch (Australia) Pty

Office of Naval Research

Future of Life Institute

Army Research Office

US Army Research Laboratory

Defense Advanced Research Projects Agency

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference45 articles.

1. A user study of command strategies for mobile robot teleoperation;Farkhatdinov;Intell. Serv. Robot.,2009

2. APPLD: Adaptive planner parameter learning from demonstration;Xiao;IEEE Robot. Autom. Lett.,2020

3. APPLI: Adaptive planner parameter learning from interventions;Wang,2021

4. APPLE: Adaptive planner parameter learning from evaluative feedback;Wang;IEEE Robot. Autom. Lett.,2021

5. APPLR: Adaptive planner parameter learning from reinforcement;Xu,2021

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