Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage transferred knowledge to provide a ...
According to @godofprompt, a new AI prompt framework modeled on Richard Feynman’s teaching style enables users to learn complex topics up to ten times faster by breaking down concepts with analogies, ...
When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...
Abstract: Modeling hydraulic manipulators is inherently challenging, which significantly complicates controller design. Although iterative learning control leverages its data-driven capability to ...
1 School of Nursing, Anhui University of Chinese Medicine, Hefei, China 2 Laboratory of Geriatric Nursing and Health, Anhui University of Chinese Medicine, Hefei, China Purpose: This study evaluates ...
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Card Control Tutorial for Smooth Shuffling
Learn how to control cards while shuffling using an upward push technique. This tutorial breaks down smooth handling and finger placement to improve precision and flow in your card magic or casual ...
The development of advanced control strategies for prosthetic hands is essential for improving performance and user experience. Soft prosthetic wrists pose substantial control challenges due to their ...
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