Abstract: Adaptive Robot Planning and learning in Dynamic Environments is a rapidly developing area that aims at improving both the autonomy and efficiency of robotic systems. In the case of dynamic ...

Abstract: Learning robot manipulation policies from raw, real-world image data requires a large number of robot-action trials in the physical environment. Although training using simulations offers a ...

Adding robots to therapy can help autistic children develop foundational social skills like taking turns, making eye contact, and paying attention. Researchers in Europe added a learning robot to ...

The system integrates a multimodal fall detection framework combining inertial, proprioceptive, and acoustic sensing, along with an improved stance phase detection algorithm.KIMLAB Researchers in the ...

A quadruped robot has learned to walk across slippery, uneven terrain entirely through simulation, without any human-designed gaits or manual tuning. The system relies on deep reinforcement learning ...

Posts from this topic will be added to your daily email digest and your homepage feed. At CES 2026, we put the robots to the test to see whether they’re ready for real homes — or still stuck in demo ...

Sophia wasn’t particularly talkative that evening. Earlier that day, she’d been onstage at the conference I was attending and had been teased for a gesture that looked as though she were flipping off ...

Roborock's Saros Rover rightfully earned our Best of CES award, as I saw it successfully dodge obstacles, clean and even dance. Ajay has worked in tech journalism for over a decade as a reporter, ...