Can robots grasp diverse objects adaptively like humans? Published in National Science Review, researchers from Tsinghua University reports a human-taught sensory-control synergy approach that ...

By learning from human touch, robots can grip objects more safely and adapt to real-world conditions without massive training data.

The MOTIF Hand, developed by a student team in collaboration with Daniel Seita, a USC Viterbi assistant professor of computer science, is built on the idea of being multimodal — that is, having ...

The Rho-alpha model incorporates sensor modalities such as tactile feedback and is trained with human guidance, says ...

When a robotics pioneer who has spent decades building humanoid machines recommends that you stand at least nine feet away from any full-size walking robot, you should probably listen. “My advice to ...

In a striking display of agility and grace, a humanoid robot named "Adam-U Ultra" has danced its way through a complex, highly energetic routine without faltering, slipping or missing a beat.

What if robots could not only mimic human actions but also think, adapt, and problem-solve like us? This is no longer the realm of science fiction. With the latest advancements in artificial ...

A humanoid robot with a deliberately unsettling face has shown a new way machines can learn the mechanics of speech, using a mirror and online video rather than human instruction. The system, known as ...