| Title: | Gait development for use in dynamic gait optimization of qudrupedrobot walking |
| Author: | |
| Document Type: | Thesis |
| Department: | Department of Mechanical Engineering |
| Degree: | Master of Science |
| Major: | Mechanical Engineering |
| Advisory Committee: |
Recce, Michael
Ji, Zhiming
Patel, Bhaven
|
| Thesis Date: | 2000, May |
| Keywords: |
Robotics.
Artificial intelligence.
Combinatorial optimization.
|
| Availability: | Unrestricted |
| Abstract: |
The ability of walking robots to operate in areas that are inaccessible
to wheeled robots has lead to significant research in the field of
gait
development and optimization for these robots. In this particular study,
a catalog of gaits for use in a dynamic gait optimization system to
optimize
the walking speed of the quadruped Arturo robot on flat terrain is developed.
This catalog of robot gaits was developed using a genetic algorithm
formulation;
various combinations of the selection, mutation, and crossover operators
were analyzed.
The Arturo robot was modified so that physical verification of the developed gaits could be carried out. The performance of several gaits was analyzed to determine both robot performance and suitability of the gait for use in a dynamic gait optimization system. The feasibility of using solely the position feedback from the joints for surface determination was examined. Piezoelectric crystals (Leybold Inficon 6 Mhz oscillators) were also examined for this application. |
| Complete Thesis: | njit-etd2000-093 (52
pages ~ 4,745 KB pdf) |
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Created June 27, 2007
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