Robotics

Artificial intelligence

AI-Powered Safety Framework for Human-Robot Collaborative Work Cells

Researchers at Kyungpook National University in South Korea have developed a groundbreaking safety framework for human-robot collaborative work cells, leveraging artificial intelligence (AI) and digital twin technology. This innovative approach utilizes multi-domain vision sensors to monitor worker and robot positions in real-time, enabling dynamic calculation of Flexible Protective Separation Distances

Machine learning

Autonomous Textile Sorting Facility and Digital Twin Utilizing an Ai-reinforced Collaborative Robot

Researchers from the University of Agder have developed an autonomous robotic facility for textile sorting and recycling, leveraging advanced computer vision and machine learning technologies. The system enables real-time textile classification, localization, and sorting on a dynamically moving conveyor belt. The facility's custom-designed pneumatic gripper optimizes autonomous picking

Machine learning

Advancements in Robotics: Lightweight LiDAR-Inertial-Visual Odometry System

Research from the University of Hong Kong has unveiled a significant breakthrough in robotics, with the development of a lightweight LiDAR-inertial-visual odometry system optimized for resource-constrained platforms. The innovative system integrates a degeneration-aware adaptive visual frame selector into error-state iterated Kalman filter (ESIKF) with sequential updates, enhancing computation efficiency while