DocumentCode :
2599119
Title :
Kinematic synthesis, optimization and analysis of a non-anthropomorphic 2-DOFs wearable orthosis for gait assistance
Author :
Sergi, Fabrizio ; Accoto, Dino ; Tagliamonte, Nevio Luigi ; Carpino, Giorgio ; Galzerano, Simone ; Guglielmelli, Eugenio
Author_Institution :
MEMS Dept., Rice Univ., Houston, TX, USA
fYear :
2012
fDate :
7-12 Oct. 2012
Firstpage :
4303
Lastpage :
4308
Abstract :
This paper describes the optimization of a planar wearable active orthosis for hip and knee assistance during overground walking. A non-anthropomorphic design is pursued in order to improve ergonomics and to reduce torque requirements. Based on a previously-developed systematic search algorithm of the admissible generalized solutions for the selected problem, a solution is selected and optimized by means of genetic algorithms and constrained non-linear optimization. The optimized design allows to conveniently redistribute mechanical power through different actuators, i.e. peak torque and velocity requirements for each actuator can be modulated, thus promoting a lighter design. A detailed analysis of the resulting mechanism workspace is carried out, including the evaluation of kinematic singularities, in order to verify the adequateness of the design in real-world scenarios. The developed model and optimization results are validated through a numerical analysis and experiments in a mock-up system.
Keywords :
actuators; anthropometry; design engineering; ergonomics; genetic algorithms; numerical analysis; orthotics; search problems; actuators; admissible generalized solutions; constrained nonlinear optimization; ergonomics; gait assistance; genetic algorithms; kinematic singularities; kinematic synthesis; mechanical power; mock-up system; nonanthropomorphic 2-DOF wearable orthosis; nonanthropomorphic design; numerical analysis; planar wearable active orthosis; systematic search algorithm; torque requirements; Hip; Humans; Joints; Kinematics; Knee; Optimization; Robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
Conference_Location :
Vilamoura
ISSN :
2153-0858
Print_ISBN :
978-1-4673-1737-5
Type :
conf
DOI :
10.1109/IROS.2012.6386260
Filename :
6386260
Link To Document :
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