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[2018-Vol.15-Issue 4]An Approach to Optimize the Path of Humanoids using Adaptive Ant Colony Optimization
发布时间： 2018-09-03 11:03 点击：1903
Journal of Bionic Engineering
Volume 15, Issue 3, May 2018, Pages 567-578.
| Chinmaya Sahu*, Dayal R. Parhi, Priyadarshi Biplab Kumar#br# |
| Robotics Laboratory, Mechanical Engineering Department, National Institute of Technology, Rourkela-769008, Odisha, India |
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Abstract In the emerging area of humanoid robotics, path planning and autonomous navigation have evolved as one of the most promising area of research. This paper deals with the design and development of a novel navigational controller to guide humanoids in cluttered envi-ronments. The basic parameters of the ant colony optimization technique have been modified to have enhanced control as Adaptive Ant Colony Optimization (AACO). The controller that has been implemented in the humanoids receives sensory information about obstacle distances as inputs and provides required turning angle as output to reach the specified target position. The proposed controller has been tested in both simulated and experimental environments created under laboratory conditions, and a good agreement has been observed between the simulation and experiment results. Here, both static and dynamic path planning have been attempted. Finally, the proposed controller has also been tested against other existing techniques to validate the efficiency of the AACO in path planning problems. |
| Key words： navigation path planning humanoid robot AACO Petri-net bionics |
Full text is available at:https://link.springer.com/article/10.1007/s42235-018-0051-7
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