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A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control of ...
Reinforcement learning (RL) is transforming the way robots interact with the world. Unlike traditional programming or supervised learning, which depend on pre-defined ...
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Interesting Engineering on MSNVideo: UC Berkeley humanoid robot plays table tennis with human-like agility
UC Berkeley recently released a video demonstrating its latest creation, the Humanoid Table TEnnis Robot (HITTER), playing a ...
Kumar says those types of scenarios partly inspired the idea of the triple backflip. Engineers can control each individual ...
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Tech Xplore on MSNA robot learns to handle bulky objects like humans do after just one lesson
For all their technological brilliance, from navigating distant planets to performing complex surgery, robots still struggle ...
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Tech Xplore on MSNRobots learn to work together like a well-choreographed dance
Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of ...
The core of this research lies in the combination of Graph Neural Networks (GNN) and Reinforcement Learning to achieve coordinated control of up to eight robotic arms, enabling efficient and collision ...
Boston Dynamics releases a video showing off their quadruped robot's latest tricks, including a triple backflip.
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Interesting Engineering on MSNHumanoids and robot dogs navigate unseen terrains using attention mapping
The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.
Researchers affiliated with Google Robotics have successfully managed to get a robot to teach itself without relying on simulation trials. Using deep reinforcement learning, a type of machine ...
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