Robot skill library ASPIRE — released June 29 by NVIDIA and collaborators — gives robots persistent memory by storing every debugging fix as a named, reusable code pattern. It pushed bimanual handover ...

Robots are getting better at recognising objects, navigating buildings and following spoken instructions, but remembering places over long periods has remained a surprisingly difficult task. While ...

Abstract: This paper presents an integrated learning framework that enables humanoid robots to perform human-robot collaborative manipulation tasks. Specifically, a table-lifting task performed ...

A robot on a factory floor can carry parts, scan shelves, and move around people with growing skill. What it still struggles ...

Abstract: Autonomous robot navigation in complex environments requires robust perception as well as high-level scene understanding due to perceptual challenges, such as occlusions, and uncertainty ...

With long-term memory, robots can know where objects are. MIT has developed an approach for such a memory framework.

*: Equal contribution. Project Co-lead., †: Corresponding Author. Humanoid-Gym is an easy-to-use reinforcement learning (RL) framework based on Nvidia Isaac Gym, designed to train locomotion skills ...

After he slalomed between two defenders and one-timed a bouncing stretch pass to the inside corner of the left post, Peter ...

In tests, AI robot systems easily rejected directly malicious commands. But their safety filters collapsed when creative writing was used to instruct them.

A bicycle robot from the Robotics and AI Institute (RAI) in Cambridge, Massachusetts, has become the first to perform an unassisted acrobatic front flip. RAI calls the bicycle robot an ultra-mobility ...

Autonomique has moved its AI-powered robots from pilot to production at F&P Mfg., with plans for deployment across F-tech's ...