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.

ANN ARBOR—Robots that need to use their arms to make their way across treacherous terrain just got a speed upgrade with a new path planning approach, developed by University of Michigan researchers.

Robots that need to use their arms to make their way across treacherous terrain just got a speed upgrade with a new path planning approach. The improved algorithm path planning algorithm found ...

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.

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 ...

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 ...

Researchers at MIT and automation company Symbotic have developed an AI-based system designed to improve traffic flow among ...

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 ...

Source: MIT/CSAIL.Brandon Araki, John Strang, Sarah Pohorecky, Celine Qiu, Tobias Naegeli, and Daniela R Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) propose ...