Teleoperation of a 7 DOF humanoid robot arm using human arm accelerations and EMG signals


Autoria(s): Leitner, Juergen; Luciw, M.; Forster, A.; Schmidhuber, J.
Data(s)

2014

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

http://eprints.qut.edu.au/82594/

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