In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

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.

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 ...

Beyond path planning, simulation data from the robots can be connected to the automation system to assess how the line is actually running. Automation World covers the entire spectrum of industrial ...

Robots are getting better at sensing their surroundings, but moving safely through unfamiliar spaces remains a bottleneck. Most autonomous systems still depend on building detailed maps, fusing ...

BOSTON & DETROIT--(BUSINESS WIRE)--Automate 2025 - Realtime Robotics, the leader in automated collision-free motion planning, control, and optimization, today launched Resolver, a new cloud-based ...

The cameras, advanced perception and reasoning software that enable robots to see are more than tools for navigation or task execution; they are the visual cortex for humanoids, allowing them to move, ...