Before a potential customer buys an autonomous mobile robot solution, Locus Robotics often uses different types of simulation to determine the type of robots needed and the number needed to optimize ...

The inventor behind the world-famous Roomba is now working on something far more personal and strange: robots designed to emotionally connect with their owners. You can watch it in action here. Colin ...

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Sharpa presents new research demonstrating significant improvements in simulation methods for robot training, in collaboration with NVIDIA. Sharpa aims to ...

NVIDIA has announced it will provide robot manufacturers with a suite of services, models, and computing platforms to develop, train and build humanoid robots. Humanoid robots are designed to mimic ...

The two companies announced an expanded partnership at a Cadence conference in Santa Clara on Wednesday. The goal: make robot training data more accurate so physical AI systems reach real-world ...

The promise of physical AI is that engineers will be able to program physical agents the same way they do digital ones. We’re not there yet. Robotics is still held back by a paucity of data from ...

Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity ...

VIENNA, June 5, 2026 /PRNewswire/ -- AGIBOT, a leading embodied AI company, hosted AGIBOT WORLD CHALLENGE 2026 alongside ICRA 2026 in Vienna, bringing together 526 research and enterprise teams from ...