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US Naval Research Laboratory scientists have successfully trained an Astrobee zero-gravity robot to fly in space without human interference.
A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control of ...
A whole-body control foundation model could help launch humanoid robots toward general-purpose capability, says Agility ...
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 ...
Kumar says those types of scenarios partly inspired the idea of the triple backflip. Engineers can control each individual ...
Interesting Engineering on MSN
Bumblebee: China’s humanoid robot nails straight-knee walk with hybrid actuator design
K2 “Bumblebee,” releasing what it describes as China’s first demonstration of a “hybrid-architecture disturbance-resistant” ...
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 ...
Lean TR1 is an AI cleaning robot with self-evolving intelligence, designed for everyday deep and effortless cleaning, ...
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