Robot path planning and motion control constitute pivotal areas in robotics research, addressing the challenge of enabling autonomous navigation in environments that are both complex and dynamic.

The process of bringing collaborative capabilities to industrial robots first began appearing on the automation scene about three years ago when we saw some of the first demonstrations of Realtime ...

At Automate 2023, Mitsubishi Electric showcased its collaboration with Realtime Robotics to allow multiple robots to work in close proximity for a variety of applications. Patrick Varley with ...

SCHAFFHAUSEN, Switzerland & WALTHAM, Mass., December 18, 2025--Aptiv PLC (NYSE: APTV), a global industrial technology leader, ...

Pudu Robotics, a global leader in service robotics, today announced the launch of the PUDU D5 Series, a new generation of ...

ABB Robotics has launched OmniCore EyeMotion that enables any OmniCore powered robot to recognise its surroundings using any ...

A team of roboticists and AI specialists at the Robotics & Artificial Intelligence Lab in Korea has designed, built and successfully tested a four-legged robot that is capable of conducting high-speed ...

AI robot on the ISS navigates 50–60% faster using machine learning, marking a major step toward autonomous space missions.

Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ISS, laying the groundwork for more autonomous space missions.

Stanford's AI system guides robots autonomously on the ISS, enabling faster, safer navigation and task execution in space.