[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Christensen, 2006 - Google Patents

Evolution of shape-changing and self-repairing control for the ATRON self-reconfigurable robot

Christensen, 2006

View PDF
Document ID
2407122281533049444
Author
Christensen D
Publication year
Publication venue
Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.

External Links

Snippet

The ATRON self-reconfigurable robot consists of simple interconnected modules. Modules move relative to other modules and as a result change the shape of the robot. The ATRON modules are difficult to control because of complex motion constraints on the modules …
Continue reading at portal.findresearcher.sdu.dk (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/12Computer systems based on biological models using genetic models
    • G06N3/126Genetic algorithms, i.e. information processing using digital simulations of the genetic system
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/08Learning methods
    • G06N3/082Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/08Learning methods
    • G06N3/086Learning methods using evolutionary programming, e.g. genetic algorithms
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/04Architectures, e.g. interconnection topology
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/004Artificial life, i.e. computers simulating life
    • G06N3/008Artificial life, i.e. computers simulating life based on physical entities controlled by simulated intelligence so as to replicate intelligent life forms, e.g. robots replicating pets or humans in their appearance or behavior

Similar Documents

Publication Publication Date Title
Christensen Evolution of shape-changing and self-repairing control for the ATRON self-reconfigurable robot
US6477444B1 (en) Method for the automated design of decentralized controllers for modular self-reconfigurable robots
Graham et al. Pathfinding in computer games
Meng et al. Autonomous self-reconfiguration of modular robots by evolving a hierarchical mechanochemical model
Soysal et al. Aggregation in swarm robotic systems: Evolution and probabilistic control
US6459957B1 (en) Programmable smart membranes and methods therefor
Guo et al. Swarm robot pattern formation using a morphogenetic multi-cellular based self-organizing algorithm
Brandt et al. ATRON robots: versatility from self-reconfigurable modules
Støy Controlling self-reconfiguration using cellular automata and gradients
Sathyan et al. Collaborative control of multiple robots using genetic fuzzy systems
Savage et al. Obstacle avoidance behaviors for mobile robots using genetic algorithms and recurrent neural networks
Harding et al. Evolution of robot controller using cartesian genetic programming
Vonásek et al. Online motion planning for failure recovery of modular robotic systems
Bennett et al. Design of decentralized controllers for self-reconfigurable modular robots using genetic programming
Yen et al. Coordination of exploration and exploitation in a dynamic environment
Zahadat et al. Sensor-coupled fractal gene regulatory networks for locomotion control of a modular snake robot
Christensen Experiments on fault-tolerant self-reconfiguration and emergent self-repair
Rossi et al. Simultaneous versus incremental learning of multiple skills by modular robots
Brandt et al. A new meta-module for controlling large sheets of atron modules
Woodford et al. Evolving snake robot controllers using artificial neural networks as an alternative to a physics-based simulator
Meng et al. A Morphogenetic Approach to Self-Reconfigurable Modular Robots using a Hybrid Hierarchical Gene Regulatory Network.
Wright et al. Intelligent approaches in locomotion
Tan et al. Evolvable hardware in evolutionary robotics
Meng et al. Morphogenetic self-reconfiguration of modular robots
Mahjourian et al. Neuroevolutionary Planning for Robotic Control