Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
Researchers develop an adaptive motion system that allows robots to generate human-like movements with minimal data ...
Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...
Researchers found that people make much more accurate estimates when they have access to information about both the speed of a moving object and the timing of its rhythmic patterns. Catching a ...