DocumentCode
3185038
Title
Minimum-jerk trajectory generation for master-slave robotic system
Author
Tanaka, Shinichi ; Baek, Young Min ; Sugita, Naohiko ; Ueta, Takashi ; Tamaki, Yasuhiro ; Mitsuishi, Mamoru
Author_Institution
Dept. of Mech. Eng., Univ. of Tokyo, Tokyo, Japan
fYear
2012
fDate
24-27 June 2012
Firstpage
811
Lastpage
816
Abstract
This paper describes a trajectory generation method for a master-slave surgical robotic system. Because the data from the master system is intermittent due the limited master-slave communication rate, interpolation is required to achieve smooth motion of the slave robot. In particular, real-time interpolation is crucial for surgical systems. To cope with this problem, we propose a new smooth trajectory generation method by minimizing jerk using a quintic B-spline. To ensure the third-order continuity in position, velocity, and acceleration, the trajectory of the next time segment is generated using several fictive control points. In addition, we impose a minimum jerk constraint to obtain a smooth trajectory. The proposed method was tested and compared with a conventional trajectory generation method. The experimental results showed that the proposed method generated a smoother trajectory with fewer jerks to an extent that the method is sufficient for use in real-time control of a surgical robotic system.
Keywords
interpolation; medical robotics; splines (mathematics); trajectory control; fictive control points; master-slave communication rate; master-slave robotic system; master-slave surgical robotic system; minimum jerk constraint; minimum jerk trajectory generation; quintic B-spline; realtime control; realtime interpolation; smooth trajectory generation method; third order continuity; Acceleration; Interpolation; Manipulators; Master-slave; Splines (mathematics); Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Robotics and Biomechatronics (BioRob), 2012 4th IEEE RAS & EMBS International Conference on
Conference_Location
Rome
ISSN
2155-1774
Print_ISBN
978-1-4577-1199-2
Type
conf
DOI
10.1109/BioRob.2012.6290666
Filename
6290666
Link To Document