The case of Boston Dynamics' Spot once again validates the crucial role of AIin the development of robotics technology. Reinforcement lear ...

The motion control of humanoid robots is becoming the next hot research area for the application of reinforcement learning ...

Robots often struggle with tasks that require synchronized movement between limbs and real-time visual feedback, particularly ...

The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.

Amazon launched a new cloud-based reinforcement learning solution aimed at customers in robotics industries.

Kumar says those types of scenarios partly inspired the idea of the triple backflip. Engineers can control each individual ...

Deep-reinforcement-learning-based robot motion strategies for grabbing objects from human hands Peer-Reviewed Publication Beijing Zhongke Journal Publising Co. Ltd.

We've seen robot dogs run up hills with luggage, and help fight fires. Now, researchers at Switzerland's ETH Zurich are ...