Wheel-legs, robotic arms and outdoor autonomy point to a company moving beyond vacuums into intelligent robotics for everyday problem-solving.
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One image is all robots need to find their way
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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