Autonomous trail navigation is not just a fun robotics problem; it has potential for real-world impact. In the United States alone, there are over 193,500 miles of trails on federal lands, with many ...
2dOpinion
AI’s Memorization Crisis
O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...
Abstract: This paper presents a robot navigation method that integrates the Transformer model with Deep Reinforcement Learning (DRL) for autonomous navigation in crowded and dynamic environments. By ...
Abstract: This article proposes an improved deep reinforcement learning algorithm for complete coverage path planning of mobile robots. The algorithm addresses the issue of agents easily getting ...
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