From reinforcement learning to classical path planning: motion planning with obstacle avoidance
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...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/181149 |