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 ...

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

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 ...

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 ...

According to the environment modeling approach, path planning algorithms of micro-/nanorobots are classified into searching, sampling, and dynamic aspects. The searching path planning algorithms ...

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 ...