Genetic Evolution and Self-Organization of Cellular Robotic System
スポンサーリンク
概要
- 論文の詳細を見る
A cellular robotic system (CEBOT) is a system composed of many kinds of units called "cells". A cell has a simple function and limited intelligence. In task executions, many cells are required to carry out a same task cooperatively to supplement their functions each other. If some cells have malfunctions, the total performance of the system can maintained by exchanging the malfunctioning cells. Therefore, CEBOT is expected to be adaptable to any kinds of tasks and environments. It is important to study self-organization and self-evolution of CEBOT, because both the hardware and software of CEBOT consist of many kinds of cells which are autonomous agents as mentioned above. This paper addresses self-organization of the hardware and self-evolution of the software based on the Genetic Algorithm. An outline of cells developed by the authors is reported. A self-evolutional knowledge base addressed in this paper is based on the Genetic Algorithm. The self-evolutional knowledge base is applied to a simple task planning system installed into a manipulator system and is verified. The effectiveness of the knowledge base is demonstrated by showing a learning capability of the manipulator in experiments.
- 一般社団法人日本機械学会の論文
- 1995-09-15
著者
-
Fukuda Toshio
Dept. of Micro-Nano Systems Eng., Nagoya Univ.
-
Kawauchi Yoshio
Applied Technology Dept. Toyo Engineering Corporation
-
Fukuda Toshio
Dept. Of Mech. Nagoya Univ.
-
Inaba Makoto
Applied Technology Dept., Toyo Engineering Corporation
-
Fukuda Toshio
Dept. Of Mechano-informatics And Systems Nagoya University
-
Inaba Makoto
Applied Technology Dept. Toyo Engineering Corporation
-
Inaba Makoto
Applied Technology Department Toyo Engineering Corporation
-
Fukuda Toshio
Dept. Micro-Nano Sys. Eng., Nagoya Univ.:Center for Micro-Nano Mech., Nagoya Univ.
関連論文
- 2P313 ドロップレット中への生物時計再構成(非平衡・生体リズム,第48回日本生物物理学会年会)
- Electrostatic Actuator for Moving Cell in Distributed Microrobotic System
- Genetic Evolution and Self-Organization of Cellular Robotic System
- Hierarchical Hybrid Neuromorphic Control System for Robotic Manipulators
- Cell Recognition by Image Processing : Recognition of Dead or Living Plant Cells by Neural Network
- Application of Image Analysis with Neural Network for Plant Somatic Embryo Culture
- Stable Control of Robotic Manipulator with Collision Phenomena : Positioning of Multi-Degrees-of-Freedom Linear Manipulator
- Flexibility Control of Solar Battery Arrays : 2nd Report, Vibration and Attitude Control Based on State Estimation of Differential Solar Cell Sensors
- Learning Method for Multi-Controller of Robot Behavior
- Self-Scaling Reinforcement Learning Algorithm for Generating Fuzzy Controller
- 2P1-C20 Local Stiffness Measurement of Single Cell using Nanoprobes through ESEM-Nanomanipulator System
- 2A2-2 Strategic Behavior Generation with Cognitive Distance in Two-Player Games
- 1PT229 バクテリア駆動マイクロギアの構築とトルク計測(日本生物物理学会第50回年会(2012年度))