Deep Reinforcement Learning for Autonomous Dynamic Skid Steer Vehicle Trajectory Tracking

Deep Reinforcement Learning for Autonomous Dynamic Skid Steer Vehicle Trajectory Tracking

Designing controllers for skid-steered wheeled robots is complex due to the interaction of the tires with the ground and wheel slip due to the skid-steer driving mechanism, leading to nonlinear dynamics. Due to the recent success of reinforcement learning algorithms for mobile robot control, the Dee...

Full description

Bibliographic Details
Main Authors: Sandeep Srikonda, William Robert Norris, Dustin Nottage, Ahmet Soylemezoglu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Robotics
Subjects:
trajectory tracking
reinforcement learning
skid-steer robots
deep learning
dynamic model
Online Access:https://www.mdpi.com/2218-6581/11/5/95

Internet

https://www.mdpi.com/2218-6581/11/5/95

Similar Items