From reinforcement learning to classical path planning: motion planning with obstacle avoidance

• Main Author: Ng, Tze Minh
• Other Authors: Yeo Chai Kiat
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Reinforcement learning; Motion planning
• Online Access: https://hdl.handle.net/10356/181149
• Institution: Nanyang Technological University

This project investigates the comparative performance of Reinforcement Learning (RL) and sampling-based motion planning methods in robotics, focusing on obstacle avoidance, illustrated in a 3D and 2D environment respectively with a singular agent and obstacle present. This is broken down into two ph...