Autonomous Robot Goal Seeking and Collision Avoidance in the Physical World: An Automated Learning and Evaluation Framework Based on the PPO Method

Autonomous Robot Goal Seeking and Collision Avoidance in the Physical World: An Automated Learning and Evaluation Framework Based on the PPO Method

Mobile robot navigation is a critical aspect of robotics, with applications spanning from service robots to industrial automation. However, navigating in complex and dynamic environments poses many challenges, such as avoiding obstacles, making decisions in real-time, and adapting to new situations....

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Bibliographic Details
Main Authors: Wen-Chung Cheng, Zhen Ni, Xiangnan Zhong, Minghan Wei
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
automated learning framework
platform development
autonomous robot
deep reinforcement learning
physical implementation
collision avoidance
Online Access:https://www.mdpi.com/2076-3417/14/23/11020
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