A ‘living’ artificial hand that learns through imitation has been developed, enhancing human-machine communication and paving the way for novel prosthetic aides.
“The last decade has seen enormous advances in the design and implementation of all kinds of robot platforms,” says Alois Knoll of Technische Universität München and coordinator of the ArteSImit project. “However, their abilities to ‘learn’ how to solve even simple tasks are still very restricted.”
According to Knoll imitation is a powerful shortcut to successful task learning. “If a robot learner is shown a certain behaviour necessary for solving a task by an instructor, the motion alternatives for producing the goal-reaching behaviour with the learner’s own devices and effectors can be dramatically reduced,” says Knoll. “The learner would then try to mimic the coarse motions of the instructor and adapt them to achieve the same goal.”
Tara Morris | alfa
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