MIT and NVIDIA Research researchers have developed a powerful new algorithm that drastically accelerates how robots plan their actions. Robots may complete intricate, multistep manipulation tasks in ...
BOSTON & CHICAGO--(BUSINESS WIRE)--Realtime Robotics, the leader in collision-free autonomous motion planning for industrial robots, today announced that it has teamed with Siemens to integrate its ...
Scientists at the Institute of Future Technology at Shanghai University have used large language models (LLMs) to improve the efficiency and effectiveness of robots performing complex, ...
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 ...
In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate ...
Homogeneous vector and plane, homogeneous transformation, position and orientation transformations, kinematics and inverse kinematic solutions of robot manipulators and mobile robots, Jacobian and ...
The Dobb-E domestic robotics system was trained in real people’s homes and could help solve the field’s data problem. A new system that teaches robots a domestic task in around 20 minutes could help ...
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Brain-inspired AI helps soft robot arms switch tasks and stay stable
Researchers have developed an AI control system that enables soft robotic arms to learn a wide repertoire of motions and ...
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