Autonomous point-to-point robots employ path-finding algorithms to traverse from the start to the goal point by avoiding obstacles. One such prominent and efficient algorithm is A*. It uses the best first technique to...
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This paper explores the integration of large pre-trained models of language, vision, and action to enhance robot manipulation planning. By leveraging advanced language models such as GPT-4 and Gemini, task planning ca...
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The planning algorithms that autonomous systems use sometimes fail to generate effective solutions, which prevents mission success. Metareasoning, which is "thinking about thinking," is one way to mitigate p...
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To overcome the problem of collision with measured objects with multiple obstacles, a modified path planning method is proposed for a Measuring robot (MR) based on rapid exploration of random trees. First, the kinemat...
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Based on the contour-type weld filling strategy, a welding path planning model for thick plate V-bevel robot is established. The model includes parameters such as welding gun position, inclination angle, swing, weldin...
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With the development of neural networks and deep learning, computer vision recognition technology has been widely applied. At present, the labor cost in the field of social cleanliness is constantly increasing, especi...
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Unexpected perturbations in an open-world task environment can cause various types of faults and failures which have to be dealt with to ensure long-term autonomous operation. We present an inference framework that en...
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While recent work on online goal recognition efficiently infers goals under low observability, comparatively less work focuses on online goal recognition that works in both discrete and continuous domains. Online goal...
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Path planning is a key research focus in the control technology of unmanned systems, such as intelligent vehicles and robots. The conventional A* algorithm suffers from low search efficiency, redundant paths, and impr...
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Aiming at the problems of high memory occupancy and too many inflection points and search points of A* algorithm in large-scale environment, an improved A* algorithm is proposed. Firstly, the adaptive adjustment of th...
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