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A whole-body control foundation model could help launch humanoid robots toward general-purpose capability, says Agility ...
A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control 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 ...
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 ...
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Interesting Engineering on MSNBumblebee: 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” ...
Lean TR1 is an AI cleaning robot with self-evolving intelligence, designed for everyday deep and effortless cleaning, ...
Whether walking, executing tasks, or responding to natural language commands, Kepler's K2 "Bumblebee" demonstrates reliable ...
If someone can solve a Rubik’s Cube, you might safely assume they are both nimble-fingered and good at puzzles. That may not be true for a cube-conquering robot. In a press release, OpenAI claimed ...
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