Title
Biologically-inspired control architecture for a humanoid robot
Abstract
Describes a biologically-inspired control architecture for the McKibben actuated limbs of a humanoid robot. The antagonistically driven joints are actuated using a biological control model observed in the measurement of human muscle electromyograms (EMG) during reaching movements in the vertical plane. The paradigm uses the summation of tonic and phasic EMG signals to activate the human muscles. The humanoid robot's muscles, actuated by pressure control, are controlled with feedforward pressure patterns analogous to the tonic and phasic activation in the human model. Proprioceptive feedback is utilized in the control architecture to correct for misperceived loading conditions and time variance of the actuators. The control architecture, initial experimental results, and experiments are discussed in the paper. A result of this control paradigm is the realization of actuation with lower stiffness and therefore safer operation for human-humanoid interaction. It is expected that such a motion of the humanoid will closely resemble human motion and will facilitate a more human-friendly human-robot interaction
Year
DOI
Venue
2001
10.1109/IROS.2001.976315
Intelligent Robots and Systems, 2001. Proceedings. 2001 IEEE/RSJ International Conference
Keywords
Field
DocType
closed loop systems,feedback,intelligent control,position control,robots,three-term control,McKibben actuated limbs,antagonistically driven joints,biologically-inspired control architecture,feedforward pressure patterns,human muscle electromyograms,human-friendly human-robot interaction,humanoid robot,misperceived loading conditions,phasic EMG signals,pressure control,proprioceptive feedback,reaching movements,tonic EMG signals,vertical plane
Intelligent control,Tonic (music),Control theory,Simulation,Computer science,Electromyography,Pressure control,Control engineering,Robot,Actuator,Humanoid robot,Feed forward
Conference
Volume
ISBN
Citations 
2
0-7803-6612-3
5
PageRank 
References 
Authors
0.55
1
3
Name
Order
Citations
PageRank
Steve Northrup150.55
Nilanjan Sarkar2938103.39
Kazuhiko Kawamura336668.28