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.

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.

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.

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 ...

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 ...

What’s to be gained from reverse engineering a four-decade-old video game? As it turns out, quite a lot, and as you’ll learn from [Norbert]’s recent talk at the ViennaJS meetup, it’s not just about ...

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We ...

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 ...