Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...

Researchers develop an adaptive motion system that allows robots to generate human-like movements with minimal data ...

ABSTRACT: This paper examined the relationships among employee’s participation in decision making (PDM), manager’s encouragement of creativity (MEOC) and employee’s creativity (CTY) and the role of ...

Abstract: Achieving precise localization in industrial settings presents significant challenges due to dynamic movements, complex layouts, and harsh environmental conditions that cause signal ...

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

Abstract: Predicting the remaining useful life (RUL) of bearings is crucial for system reliability and preventing unexpected shutdowns. Aiming at two critical issues in RUL prediction, the first ...

If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...

The group created a physical AI-based vehicle state estimation system designed to track how electric vehicles behave in real ...

A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has developed a physical AI-based vehicle state estimation technology that accurately ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework that enables accurate thermal field inversion in chiplet-based packaging ...