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Compared with their robotic counterparts, humans excel at various tasks by using their ability to adaptively modulate arm impedance parameters. This ability allows us to successfully perform contact tasks even in uncertain environments. This paper considers a learning strategy of motor skill for robotic contact tasks based on a human motor control theory and machine learning schemes. Our robot learning...
This paper introduces a novel motor learning strategy for robotic contact task based on a human motor control theory and machine learning schemes. Humans modulate their arm joint impedance parameters during contact tasks, and such aspect suggests a key feature how human successfully executes various contact tasks in variable environments. Our strategy for successful contact tasks is to find appropriate...
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