NNRG Areas - Robotics

neural networks research group

Robotics

Our work in robotics focuses on learning hierarchies of sensorimotor schemas through unsupervised and reinforcement learning, and on developing intelligent controllers through neuroevolution.

Thomas D'Silva Peggy Fidelman Faustino Gomez Nate Kohl Risto Miikkulainen Mark Moll David E. Moriarty Andres Santiago Perez-Bergquist Jefferson Provost Yiu Fai Sit Ken Stanley Shimon Whiteson

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Evolving Symmetric and Modular Neural Network Controllers for Multilegged Robots (2009) Evolving Symmetric and Modular Neural Networks for Distributed Control (2009) Improving Particle Filter Performance Using SSE Instructions (2009) Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents (2008) Maximum Likelihood Estimation of Sensor and Action Model Functions on a Mobile Robot (2008)

Evolving Locomotion Controllers for Multilegged Robots Learning Schemas for Robot Perception CLA: The Constructivist Learning Architecture

Polebalancing ESP JAVA 1.1 NEAT C++ SANE-C JavaSANE NEAT Java (JNEAT) NEAT C++ for Microsoft Windows NEAT Delphi NEAT Matlab ESP C++