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 ...
Learning control policies in simulation enables rapid, safe, and cost-effective development of advanced robotic capabilities. However, transferring these policies to the real world remains difficult ...
According to @godofprompt, a new AI prompt framework modeled on Richard Feynmanโs 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 ...
Davidson School of Chemical Engineering, Purdue University, 610 Purdue Mall, West Lafayette, Indiana 47907, United States ...
1 Division of Information Science, Nara Institute of Science and Technology, Ikoma, Japan 2 National Institute of Informatics (NII) and The Graduate University for Advanced Studies (SOKENDAI), Tokyo, ...
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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