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6 December 2005 Self maintenance robot system using physical information learning for mobile robot with visual sensors
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Proceedings Volume 6052, Optomechatronic Systems Control; 605208 (2005) https://doi.org/10.1117/12.648774
Event: Optomechatronic Technologies 2005, 2005, Sapporo, Japan
Abstract
We propose self-maintenance robot system as a method which realizes work for a long time without maintenance by the human workers. This system absorbs the change which occurs in robot's hardware by learning, and maintains working ability. We propose the two methods of learning changes in the physical information of the robot as methods which realizes the maintenance-free robot system. One is a method to learn robot's physical information based on the input and output information in the task practice from the no physical information of the robot by using a neural network which has a task common layer and a task independence layer. We use a neural network which has a task common layer and a task independence layer to learning. Other is a method to learn robot's physical information based on the difference in hoping action and actual action. In this report, we verify of these learning system by the computer simulation.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Naohiro Sekiguchi, Takayuki Tanaka, and Shun'ichi Kaneko "Self maintenance robot system using physical information learning for mobile robot with visual sensors", Proc. SPIE 6052, Optomechatronic Systems Control, 605208 (6 December 2005); https://doi.org/10.1117/12.648774
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