Optimal muscle coordination of a robot joint using vibrant particle swarm optimization

  • Authors:
  • Masakazu Suzuki;Takashi Mayahara

  • Affiliations:
  • Tokai University, Hiratsuka, Kanagawa, Japan;Tokai University, Hiratsuka, Kanagawa, Japan

  • Venue:
  • RA '07 Proceedings of the 13th IASTED International Conference on Robotics and Applications
  • Year:
  • 2007

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Abstract

The Strand-Muscle Actuator (StMA) proposed by the authors has nonlinear elastic properties, and easily realizes joint angle/stiffness control, even for multi-DOF joints, by antagonistic actuator installation on the joint. The actuator is suitable for complex motions in spite of their simple mechanism, and extendable joint mechanism will be possible with them. The effectiveness has already been verified by legged robots, multi-finger hands, and 3-DOF joints. This work is concerned with an StMA-based Robot Arm (StMA-RArm), a human-arm-like robot manipulator using StMAs. It's shoulder part realizes failure tolerant 3-DOF joint angle/stiffness control with redundant muscles. For smooth and dexterous motions real-time cooperative muscle tension control is necessary. In this article the mechanism and cooperative control scheme of the StMA-RArm are presented. The Vibrant Particle Swarm Optimization is introduced to solve time-variant optimization problems. And it is then successfully applied to the online coordination of redundant muscles.