Design of a control strategy for guiding collaborative robots using wearable EMG and IMU sensors
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Director/esVisioli, Antonio; Moreno Úbeda, José Carlos
The use of robots is widespread in many industrial applications, but they can be considered as a risk if collaboration with a worker is required. In the last years, researches and studies over human-robot interaction (HRI) have increased and a new generation of robots has been developed: collaborative robots. Collaborative robots are born to work safely with humans in the same working space, maintaining the efficiency and productivity of an industrial robot. That is possible thanks to a synergy of control strategies and specific mechanical and electronic solutions, as SEA. The human-robot interaction causes a new problem: the interaction between workers and the collaborative robot. The present thesis deals with robot control and human-robot interaction: a control strategy for guiding collaborative robots using wearable EMG and IMU sensors is presented in this work. The ultimate goal is to make possible to the human operator the control of robot's behavior by the use of sensors. After ...
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