Teleoperation of a 7 DOF humanoid robot arm using human arm accelerations and EMG signals
Data(s) |
2014
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Resumo |
We present our work on tele-operating a complex humanoid robot with the help of bio-signals collected from the operator. The frameworks (for robot vision, collision avoidance and machine learning), developed in our lab, allow for a safe interaction with the environment, when combined. This even works with noisy control signals, such as, the operator’s hand acceleration and their electromyography (EMG) signals. These bio-signals are used to execute equivalent actions (such as, reaching and grasping of objects) on the 7 DOF arm. |
Identificador | |
Publicador |
The Canadian Space Agency (CSA-ASC) |
Relação |
http://robotics.estec.esa.int/i-SAIRAS/isairas2014/Data/Session%2011c/ISAIRAS_FinalPaper_0014.pdf Leitner, Juergen, Luciw, M., Forster, A., & Schmidhuber, J. (2014) Teleoperation of a 7 DOF humanoid robot arm using human arm accelerations and EMG signals. In Proceedings of the 12th International Symposium on Artificial Intelligence, Robotics and Automation in Space - i-SAIRAS’14, The Canadian Space Agency (CSA-ASC), Montreal, Canada. |
Direitos |
Copyright 2014 [please consult the authors] |
Fonte |
ARC Centre of Excellence for Robotic Vision; School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #Robot vision #Collision avoidance #Machine learning |
Tipo |
Conference Paper |