Robotics
Our work in robotics focuses on neuroevolution of intelligent locomotion and navigation, as well as cooperation among multiple robots. We have also worked on learning sensorimotor embeddings through unsupervised and reinforcement learning.
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Architecture of a Cyberphysical Avatar Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Quan Leng, Xiuming Zhu, Luis S... In Proceedings of the ACM/IEEE Fourth International Conference on Cyber-Physical Systems (ICCPS-2... 2013

IJCNN-2013 Tutorial on Evolution of Neural Networks Risto Miikkulainen To Appear In 2013. Tutorial slides.. 2013

Effective Diversity Maintenance in Deceptive Domains Joel Lehman, Kenneth O. Stanley and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2013,... 2013

Architecture of a Cyberphysical Avatar Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Xiuming Zhu, Luis Sentis, Kan ... In Proceedings of the International Workshop on Real-Time and Distributed Computing in Emerging A... 2012

Constructing Controllers for Physical Multilegged Robots using the ENSO Neuroevolution Approach Vinod K. Valsalam, Jonathan Hiller, Robert MacCurdy, Hod Lipson and Risto Miikkulainen Evolutionary Intelligence, 5(1):1--12, 2012. 2012

Evaluating Modular Neuroevolution in Robotic Keepaway Soccer Anand Subramoney Masters Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX, 2012.... 2012

Evolving Symmetry for Modular System Design Vinod K. Valsalam and Risto Miikkulainen IEEE Transactions on Evolutionary Computation, 15(3):368--386, 2011. 2011

Learning Geometry from Sensorimotor Experience Jeremy Stober, Risto Miikkulainen, and Benjamin Kuipers In Proceedings of the First International Conference on Development and Learning and Epigenetic R... 2011

Utilizing Symmetry in Evolutionary Design Vinod Valsalam PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2010. Te... 2010

Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution Thomas D'Silva, Risto Miikkulainen Neural Processing Letters, 2009. 2009

Evolving Symmetric and Modular Neural Networks for Distributed Control Vinod K. Valsalam and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 731--738, 200... 2009

Evolving Symmetric and Modular Neural Network Controllers for Multilegged Robots Vinod K. Valsalam and Risto Miikkulainen In xploring New Horizons in Evolutionary Design of Robots: Workshop at the 2009 IEEE/RSJ Internat... 2009

Detecting Motion in the Environment with a Moving Quadruped Robot Peggy Fidelman, Thayne Coffman and Risto Miikkulainen In Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi, editors, Ro... 2007

Self-Organizing Distinctive State Abstraction Using Options Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen In Proceedings of the 7th International Conference on Epigenetic Robotics, 2007. 2007

Reinforcement Learning in High-Diameter, Continuous Environments Jefferson Provost PhD Thesis, Computer Sciences Department, University of Texas at Austin, Austin, TX, 2007. 2007

Bootstrap learning of foundational representations Bootstrap learning of foundational representations %RefShort% 2006

Developing navigation behavior through self-organizing distinctive state abstraction Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen Connection Science, 18:159-172, 2006. 2006

Evolving Robot Arm Controllers Using the NEAT Neuroevolution Method Thomas W. D'Silva Masters Thesis, Department of Electrical and Computer Engineering, The University of Texas at Austin... 2006

Learning Basic Navigation for Personal Satellite Assistant Using Neuroevolution Yiu Fai Sit and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005

Self-Organizing Perceptual and Temporal Abstraction for Robot Reinforcement Learning Jefferson Provost, Benjamin J. Kuipers and Risto Miikkulainen In AAAI-04 Workshop on Learning and Planning in Markov Processes, 2004. 2004

The Constructivist Learning Architecture: A Model of Cognitive Development for Robust Autonomous Robots Harold H. Chaput PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, August 2004. Also Te... 2004

Constructivist Learning: A Neural Implementation of the Schema Mechanism Harold H. Chaput, Benjamin Kuipers and Risto Miikkulainen In Proceedings of WSOM '03: Workshop for Self-Organizing Maps, Kitakyushu, Japan, 2003. 2003

Toward Learning the Causal Layer of the Spatial Semantic Hierarchy using SOMs Jefferson Provost, Patrick Beeson, and Benjamin J. Kuipers In AAAI Spring Symposium Series, Learning Grounded Representations, 2001. 2001

Hierarchical Evolution Of Neural Networks David E. Moriarty and Risto Miikkulainen In Proceedings of the 1998 IEEE Conference on Evolutionary Computation (ICEC98), 428-433, Anc... 1998

Symbiotic Evolution Of Neural Networks In Sequential Decision Tasks David E. Moriarty PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 1997. 117. Technical... 1997

Forming Neural Networks Through Efficient And Adaptive Coevolution David E. Moriarty and Risto Miikkulainen Evolutionary Computation, 5:373--399, 1997. 1997

Evolving Obstacle Avoidance Behavior In A Robot Arm David E. Moriarty and Risto Miikkulainen In Pattie Maes and Maja J. Mataric and Jean-Arcady Meyer and Jordan Pollack and Stewart W. Wilson, ... 1996

Grounding Robotic Control With Genetic Neural Networks Diane Law and Risto Miikkulainen Technical Report AI94-223, Department of Computer Sciences, The University of Texas at Austin, 1994. 1994

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Adrian Agogino Former Collaborator adrian k agogino [at] nasa gov
Harold H. Chaput Ph.D. Alumni hchaput [at] ea com
Thomas D'Silva Masters Alumni twdsilva [at] gmail com
Peggy Fidelman Former Ph.D. Student
Faustino Gomez Postdoctoral Alumni tino [at] idsia ch
Aravind Gowrisankar Masters Alumni
Nate Kohl Ph.D. Alumni nate [at] natekohl net
Joel Lehman Postdoctoral Fellow joel [at] cs utexas edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Mark Moll Former Visitor "last name" at isi edu
David E. Moriarty Ph.D. Alumni moriarty [at] alumni utexas net
Andres Santiago Perez-Bergquist Undergraduate Alumni aspb [at] mapache org
Jefferson Provost Ph.D. Alumni jefferson provost [at] gmail com
Rini Sherony Former Collaborator rini sherony [at] tema toyota com
Yiu Fai Sit Ph.D. Alumni yfsit [at] cs utexas edu
Kenneth Stanley Postdoctoral Alumni kstanley [at] cs ucf edu
Jeremy Stober Ph.D. Student stober [at] cs utexas edu
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ENSO This package contains software implementing the ENSO approach for evolving symmetric modular neural networks. It also in... 2010

NEAT C++ The NEAT package contains source code implementing the NeuroEvolution of Augmenting Topologies method. The source code i... 2010

NEAT Delphi The Delphi NEAT package contains Delphi source code for the NeuroEvolution of Augmenting Topologies method (see the orig... 2003

NEAT Matlab The Matlab NEAT package contains Matlab source code for the NeuroEvolution of Augmenting Topologies method (see the orig... 2003

ESP JAVA 1.1 The ESP package contains the source code for the Enforced Sup-Populations system written in Java. This package is a near... 2002

NEAT C++ for Microsoft Windows The Windows NEAT package contains C++ source code for the NeuroEvolution of Augmenting Topologies method (see the origin... 2002

NEAT Java (JNEAT) The JNEAT package contains Java source code for the NeuroEvolution of Augmenting Topologies method (see the original 2002

ESP C++ The ESP package contains the source code for the Enforced Sup-Populations system written in C++. ESP is an extension t... 2000

JavaSANE The JavaSANE package contains the source code for the Hierarchical SANE system, based on SANE-C, but rewritten extensive... 1998

SANE-C The SANE-C package contains the source code for the Hierarchical SANE system, written in C. This package has been rewrit... 1997

Polebalancing This simulator contains the code used to compare (neuron-level) SANE to one- and two-layer adaptive heuristic critics in... 1995