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Intelligent control of neurosurgical robot MM-3 using dynamic motion scaling

Sunho Ko, Atsushi Nakazawa, Yusuke Kurose, Kanako Harada, Mamoru Mitsuishi, Shigeo Sora, Naoyuki Shono, Hirofumi Nakatomi, Nobuhito Saito, Akio Morita

Year
2017
Citations
12
Access
Open access

Abstract

OBJECTIVE Advanced and intelligent robotic control is necessary for neurosurgical robots, which require great accuracy and precision. In this article, the authors propose methods for dynamically and automatically controlling the motion-scaling ratio of a master-slave neurosurgical robotic system to reduce the task completion time. METHODS Three dynamic motion-scaling modes were proposed and compared with the conventional fixed motion-scaling mode. These 3 modes were defined as follows: 1) the distance between a target point and the tip of the slave manipulator, 2) the distance between the tips of the slave manipulators, and 3) the velocity of the master manipulator. Five test subjects, 2 of whom were neurosurgeons, sutured 0.3-mm artificial blood vessels using the MM-3 neurosurgical robot in each mode. RESULTS The task time, total path length, and helpfulness score were evaluated. Although no statistically significant differences were observed, the mode using the distance between the tips of the slave manipulators improves the suturing performance. CONCLUSIONS Dynamic motion scaling has great potential for the intelligent and accurate control of neurosurgical robots.

Keywords

ScalingRobotComputer scienceMotion (physics)Task (project management)HelpfulnessSimulationMode (computer interface)Control theory (sociology)Artificial intelligence

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