Abstract: Integrating robots into real-world applications requires effective consideration of various agents, including other robots. Multi-agent reinforcement learning (MARL) is an established field ...

What if robots could learn to adapt to their surroundings as effortlessly as humans do? The rise of quadruped robots, like Boston Dynamics’ Spot, is turning this vision into reality. By integrating ...

With every box checked on the back-to-school shopping lists, every glittery notebook and Spider-Man pencil tucked safely into colorful backpacks, families and students began the school year in Mason ...

Abstract: Navigating a nonholonomic robot in a cluttered, unknown environment requires accurate perception and precise motion control for real-time collision avoidance. This article presents neural ...

We've seen robot dogs run up hills with luggage, and help fight fires. Now, researchers at Switzerland's ETH Zurich are putting these mechanical mutts through their paces on the badminton court, ...

Sensor data is like brain food for robots, and as robots become more complex and sophisticated in their ability to take in many more data streams for many more sensors they will need more powerful AI ...

Robotic arms have a lot in common with CNC machines in that they are usually driven by a fixed script of specific positions to move to, and actions to perform. Autonomous behavior isn’t the norm, ...

Despite decades of progress, most robots are still programmed for specific, repetitive tasks. They struggle with the unexpected and can't adapt to new situations without painstaking reprogramming. But ...

Kids across the country are getting ready to return to the classroom. While many families may be trying to squeeze in the last of summer activities, gather supplies and begin school year routines, ...