IEEE

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning With Diffusion Models

Abstract: The performance of optimization-based robot motion planning algorithms is highly dependent on the initial solutions, commonly obtained by running a sampling-based planner to obtain a ...
pv magazine International

US researchers use machine learning to detect hidden solar array defects

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
pv-magazine-usa

Machine learning models identify hidden physical defects in solar arrays

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar ...
IEEE

Language-Driven Motion Prior Knowledge Learning for Moving Infrared Small Target Detection

Abstract: Different from traditional object detection, pure vision is often not enough to infrared small target detection (ISTD), due to the small target size and weak background contrast. For ...