A (NRL) research team successfully conducted the first reinforcement learning (RL) control of a free-flyer in space on May 27 ...
Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...
Reinforcement learning (RL) is transforming the way robots interact with the world. Unlike traditional programming or supervised learning, which depend on pre-defined ...
Engineers at the Korea Advanced Institute of Science and Technology have developed a way for robots to precisely grasp ...
A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater ...
Boasting a sophisticated design tailored for versatile mobility, Cassie demonstrates remarkable agility as it effortlessly navigates quarter-mile runs and performs impressive long jumps without ...
According to Securities Star, data from the Tianyancha APP shows that iFLYTEK (002230) has recently obtained authorization for an invention patent titled 'Robot Control Method, Device, and Equipment ...
Over the past two decades, humanoid robots have greatly improved their ability to perform functions like grasping objects and using computer vision to detect things since Honda’s release of the ASIMO ...
Someone looking to book a vacation online today might have very different preferences than they did before the COVID-19 pandemic. Instead of flying to an exotic beach, they might feel more comfortable ...
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