neural networks research group
areas
people
projects
demos
publications
software/data
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.
Publications
None
[Expand to show all 34]
[Minimize]
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play
Reza Mahjourian
PhD Thesis, University of Texas at Austin, 2018.
2018
Machines Are Becoming More Creative Than Humans
Risto Miikkulainen
VentureBeat
, 2016/04/03, 2016.
2016
Sensorimotor Embedding: A Developmental Approach to Learning Geometry
Jeremy Stober
PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, May 2015...
2015
Trading Control Intelligence for Physical Intelligence: Muscle Drives in Evolved Virtual Creatures
Dan Lessin, Don Fussell, Risto Miikkulainen
To Appear In
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2014
,...
2014
Adapting Morphology to Multiple Tasks in Evolved Virtual Creatures
Dan Lessin, Don Fussell, Risto Miikkulainen
To Appear In
Proceedings of The Fourteenth International Conference on the Synthesis and Simulati...
2014
Grasping Novel Objects with a Dexterous Robotic Hand through Neuroevolution
Pei-Chi Huang, Joel Lehman, Aloysius K. Mok, Risto Miikkulainen, Luis Sentis
In
IEEE Symposium Series on Computational Intelligence
, 2014. IEEE.
2014
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, Quan Leng, Xiuming Zhu, Luis S...
In
Proceedings of the ACM/IEEE Fourth International Conference on Cyber-Physical Systems (ICCPS-2...
2013
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
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
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
Evolving Symmetry for Modular System Design
Vinod K. Valsalam and Risto Miikkulainen
IEEE Transactions on Evolutionary Computation
, 15(3):368--386, 2011.
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
People
None
[Expand to show all 22]
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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
peggyf [at] cs utexas edu
Faustino Gomez
Postdoctoral Alumni
tino [at] idsia ch
Aravind Gowrisankar
Masters Alumni
Nate Kohl
Ph.D. Alumni
nate [at] natekohl net
Joel Lehman
Postdoctoral Alumni
joel [at] cs utexas edu
Xun Li
Ph.D. Alumni
xun bhsfer [at] cs utexas edu
Jason Zhi Liang
Ph.D. Alumni
jasonzliang [at] utexas edu
Reza Mahjourian
Ph.D. Alumni
reza [at] cs utexas edu
Elliot Meyerson
Ph.D. Alumni
ekm [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. Alumni
stober [at] cs utexas edu
Xiruo Wang
Masters Alumni
kevinxrwang [at] utexas edu
Projects
None
Learning Strategic Behavior in Sequential Decision Tasks
2009 - 2014
Evolving Controllers for Physical Multilegged Robots
2010 - 2011
Evolving Locomotion Controllers for Multilegged Robots
2008 - 2010
Utilizing Symmetry in Evolutionary Design
2007 - 2010
Learning Schemas for Robot Perception
2000 - 2007
CLA: The Constructivist Learning Architecture
1998 - 2004
Demos
None
Adapting Morphology to Multiple Tasks in Evolved Virtual Creatures
Dan Lessin, Don Fussell, Risto Miikkulainen
2014
Evolving Controllers for Physical Multilegged Robots
Vinod Valsalam
2011
Evolving Controller Symmetry for Multilegged Robots
Vinod Valsalam
2010
Modular Neuroevolution for Multilegged Locomotion
Vinod Valsalam
2008
Software/Data
None
[Expand to show all 11]
[Minimize]
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