Abstract
In this paper, we deal with optimization problems of the number of joints and lengths of multi-jointed rigid arms. We assume target points to yield a path by Spline function and formulate optimization problems with multiple loops to find optimum number of joints and lengths. The objective of the optimum problem can be taken among various functions. The optimal problem is formulated here by multi-objective functions minimizing driving energy and maximizing manipulability measure. It is a difficult problem to find the optimum number of joints and lengths of a multi-jointed rigid robot arm directly by mathematical programing. Then, we utilize an algorithm based on Genetic Algorithm (GA) in order to solve inverse dynamic problems and optimization problems. The obtained results are examined from many points of view.
| Original language | English |
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| Title of host publication | Proceedings of the 2012 1st International Conference on Innovative Engineering Systems, ICIES 2012 |
| Pages | 196-200 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 2012 1st International Conference on Innovative Engineering Systems, ICIES 2012 - Alexandria Duration: 2012 Dec 7 → 2012 Dec 9 |
Other
| Other | 2012 1st International Conference on Innovative Engineering Systems, ICIES 2012 |
|---|---|
| City | Alexandria |
| Period | 12/12/7 → 12/12/9 |
Keywords
- Driving energy
- Genetic algorithm
- Manipulability measure
- Multi-Jointed Robot Arm
- Multi-objective optimization
- Optimun number of joints and lengths
ASJC Scopus subject areas
- Engineering (miscellaneous)
- Control and Systems Engineering