This paper explores the integration of Physics-Informed Neural Networks (PINNs) and Robot Process Automation (RPA) tools in modeling and controlling rigid robotic joint motion. PINNs, which integrate ...
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By, Avi Chawla – highly passionate about approaching and explaining data science problems with intuition. Avi has been working in the field of data science and machine learning for over 6 years, both ...
Artificial intelligence has completely changed the way we interact with technology, and one of the most promising trends is the concept of human-in-the-loop AI, which focuses on enhancing the ...
Understanding long videos, such as 24-hour CCTV footage or full-length films, is a major challenge in video processing. Large Language Models (LLMs) have shown great potential in handling multimodal ...
We introduce a bio-inspired navigation system for a robot to guide a social agent to a target location while avoiding static and dynamic obstacles. Robot navigation can be accomplished through a model ...
Abstract: In recent years, data-driven learning methods have been widely studied for autonomous robot skill learning. However, these methods rely on large amounts of robot–environment interaction data ...