DocumentCode :
2603626
Title :
A repetitive periodic motion planning of articulated underwater robots subject to drag optimization
Author :
Jun, Bong-Huan ; Lee, Jihong ; Lee, Pan-Mook
Author_Institution :
Ocean Dev.. Syst. Div., Korea Ocean Res. & Develop. Inst., Daejeon, South Korea
fYear :
2005
fDate :
2-6 Aug. 2005
Firstpage :
1917
Lastpage :
1922
Abstract :
In order to utilize hydrodynamic drag force on articulated robot moving in an underwater environment, a repetitive motion planning method subject to drag optimization is proposed. Repetitive trajectories, a preplanned periodic motion, are obtained from general polynomial trajectory planning method by connecting the end point of trajectory to start point by enforcing continuous motion. After drag torque is described in terms of joint angles and velocities, directional drag force in task space is derived, which is used as objective function to be optimized during a time period. The genetic algorithm (GA) is adopted to find optimal parameters composing the coefficients of polynomials. To verify the correctness of proposed method, periodic motion planning examples of simple two-link planner robot are presented in this paper.
Keywords :
drag; genetic algorithms; hydrodynamics; mobile robots; motion control; path planning; periodic control; robot dynamics; underwater vehicles; articulated underwater robot; directional drag force; drag optimization; drag torque; genetic algorithm; hydrodynamic drag force; planner robot; repetitive periodic motion planning; repetitive trajectory; trajectory planning; Drag; Genetic algorithms; Hydrodynamics; Joining processes; Motion planning; Optimization methods; Polynomials; Robots; Torque; Trajectory; Articulated underwater robot; Directional drag force; Drag optimization; Trajectory planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on
Print_ISBN :
0-7803-8912-3
Type :
conf
DOI :
10.1109/IROS.2005.1545572
Filename :
1545572
Link To Document :
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