Researchers at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, have developed advanced robotic ...
Researchers have solved the complex "peg-in-hole" assembly challenge with a deep reinforcement learning system.
Abstract: To endow robotic arms with enhanced autonomous obstacle avoidance and path planning capabilities in complex dynamic environments, deep reinforcement learning (DRL) methods have been widely ...
A laboratory in Pittsburgh’s Bakery Square is poised to make the next breakthrough in wheelchairs, a mostly stagnant industry ...
Pitt lab secures $41.5M to develop RAMMP, an advanced robotic wheelchair integrating AI and sensors. CMU to contribute arm ...
A team led by the University of Oxford has developed a new class of soft robots that operate without electronics, motors, or ...
ZME Science on MSN
This New Artificial Muscle Could Let Humanoid Robots Lift 4,000 Times Their Own Weight
Imagine a rubber band that turns into a steel cable on command. Now imagine it’s inside a robot. That’s the basic trick of a ...
Humanoid robot training is booming around the world. Tech companies are rushing to build the robots for a market projected to ...
How advanced actuators, compliance control, and real-time planning create capable, safe humanoid collaborators.
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