Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

Why aren’t there more robots in homes? This a surprising complex question — and our homes are surprisingly complex places. A big part of the reason autonomous systems are thriving on warehouse and ...

Robotic task planning using temporal logic specifications has emerged as a pivotal research area that integrates formal methods with the dynamic complexities of multi-robot systems. This approach ...

In hazardous settings —such as disaster zones, mines or biohazard facilities—humanoids can undertake dangerous tasks, thereby reducing the risk to humans. In industries where labor is both scarce and ...

Robot task execution is a core topic in the current field of robotics. Yuanluo Technology's patent likely involves improvements in robots' environmental perception, task planning, and execution ...

BOSTON & DETROIT--(BUSINESS WIRE)--Realtime Robotics, the leader in collision-free autonomous motion planning for industrial robots, today announced the release of its new RapidPlan software, which ...

According to news from Yuejiang (02432.HK), on September 10, the Yuejiang humanoid robot successfully realized the country's first case of industrial cross-scenario multi-task collaborative operations ...

K2 “Bumblebee,” releasing what it describes as China’s first demonstration of a “hybrid-architecture disturbance-resistant” ...