Mobile robot navigation using deep reinforcement learning: Algorithms, challenges, and future directions
Published online on April 03, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Ahead of Print.
Autonomous navigation of mobile robots in unstructured, dynamic environments is a critical challenge in robotics. Deep Reinforcement Learning (DRL) has emerged as a promising approach for enabling robots to learn complex navigation policies through ...
Autonomous navigation of mobile robots in unstructured, dynamic environments is a critical challenge in robotics. Deep Reinforcement Learning (DRL) has emerged as a promising approach for enabling robots to learn complex navigation policies through ...