Mobile Robot Obstacle Avoidance based on Deep Reinforcement Learning

Mobile Robot Obstacle Avoidance based on Deep Reinforcement Learning

Obstacle avoidance is one of the core problems in the field of autonomous navigation. An obstacle avoidance approach is developed for the navigation task of a reconfigurable multi-robot system named STORM, which stands for Self-configurable and Transformable Omni-Directional Robotic Modules. Various...

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Bibliographic Details
Main Author: Feng, Shumin
Other Authors: Mechanical Engineering
Format: Others
Language:en_US
Published: Virginia Tech 2019
Subjects:
Robotic Systems
Neural Networks
Obstacle Avoidance
Deep Reinforcement Learning
Online Access:http://hdl.handle.net/10919/87059

Internet

http://hdl.handle.net/10919/87059

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