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.

A research team from Fraunhofer HNFIZ has published a newly developed evaluation model that classifies the technical ...

At NVIDIA GTC, RealSense is showcasing a first-of-its-kind demonstration of autonomous humanoid navigation, reinforcing its ...

Humans often use one hand to grasp the branch for better accessibility, while the other hand is used to perform primary tasks ...