Abstract: The inherent black-box nature of deep reinforcement learning (DRL) poses challenges in ensuring safety constraints. This paper, therefore, introduces a DRL reward design inspired by Lyapunov ...
The Doosan robot is equipped with sensors to detect obstacles in its environment. This project leverages the RRT* algorithm to generate an optimal path from a start point to a goal point while ...
Abstract: We present a cooperative decentralized obstacle avoidance approach for a group of ground-based robots moving in an environment with dynamic obstacles. The objectives of this work are to ...
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