A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations Avinash Ranganath, Juan González-Gómez, Luis Moreno Lorente Robotics.

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Presentation transcript:

A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations Avinash Ranganath, Juan González-Gómez, Luis Moreno Lorente Robotics Lab Universidad Carlos III de Madrid 30/May/2011 9º Workshop - Robots colabativos e interacciòn Humano-Robot - Robocity 2030-II CAR, E.T.S. de Ingenieros Industriales, Madrid.

2 Index A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations 1. Introduction 2. Robotic platform 3. Proposed model 4. Evolution 5. System 1 6. System 2 7. Fault tolerance 8. Conclusion Index

3 A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations 1. Introduction

4 Sinusoidal Oscillator A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations 1. Introduction Sinusoidal Oscillator:

5 Objective A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations 1. Distributed 2. Homogeneous 3. Adaptive 4. Fault tolerant 1. Introduction

6 Y1 in OpenRAVE A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations 2. Robotic platform

7 Neural Controller A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations 3. Proposed model ● Input layer: ● 1-2: Connector information ● 3: Feedback from self actuator ● 4-5: Feedback from neighbouring module's actuator ● Hidden layer: ● One hidden layer with five hidden neurons ● Output layer: ● One output neuron connected to the actuator

8 Evolution A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations 4. Evolution ● Genetic Algorithm ● Roulette Wheel selection method ● Intermediate Recombination method ● Fitness: Displacement measured as euclidean distance from origin ● Evaluation time: 50 seconds.

9 Frequency controlled method A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations 5. System 1

10 Frequency controlled method A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations 5. System 1

11 Frequency adaptive method A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations 6. System 2 Where, : Output from the ANN : Angle of the actuator at time ti and x are constants.

12 A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations 6. System 1 Frequency adaptive method

13 A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations 6. System 1 Frequency adaptive method

14 A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations 7. Fault tolerance Limit cycle behaviour

15 Conclusion 8. Conclusion ● Proposed model validated for locomotory oscillations. ● Fault tolerance with limit cycle behaviour. ● Fast convergence to optimal oscillatory pattern. Future work ● Validate this model on the real Y1 modular robots. ● Adaptive behaviour for locomotion on different surfaces ● Evolve the topology to both complexify and to find the minimal neural architecture. A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations

A Distributed Neural Controller for Locomotion in Linear Modular Robotic Configurations Avinash Ranganath, Juan González-Gómez, Luis Moreno Lorente Robotics Lab Universidad Carlos III de Madrid 30/May/2011 9º Workshop - Robots colabativos e interacciòn Humano-Robot - Robocity 2030-II CAR, E.T.S. de Ingenieros Industriales, Madrid.