International Journal of Robotics and Autonomous Systems ISSN: 3107-7382 (Online)

Author: Rajat Sharma

Abstract: This paper presents a reinforcement learning-based approach for autonomous exploration and mapping in unknown environments. Autonomous exploration is a fundamental capability required for robots operating in unstructured or unfamiliar surroundings. Our proposed approach leverages deep reinforcement learning techniques to enable robots to learn optimal exploration policies and construct accurate maps of their surroundings. We demonstrate the efficacy of our approach through extensive simulations and real-world experiments, showcasing its ability to autonomously explore and map unknown environments efficiently and accurately.

Keywords: Autonomous Exploration, Mapping, Reinforcement Learning, Unknown Environments, Robotics