UTCS Artificial Intelligence
courses
talks/events
demos
people
projects
publications
software/data
labs
areas
admin
Control
Control theory and engineering study how to produce the desired behavior in a variety of dynamical systems, e.g. the electro-mechanical systems in robots and the chemical systems in manufacturing plants. Such systems can be modeled mathematically in terms of state variables and how they change with respect to time and environmental conditions. The challenge is then to design the system component known as the controller such that the state variables change in desired and predictable ways.
People
[Expand to show all 12]
[Minimize]
Suhaib Abdulquddos
Masters Alumni
suhaib [at] cs utexas edu
Alex van Eck Conradie
Formerly affiliated Visitor
Faustino Gomez
Postdoctoral Alumni
tino [at] idsia ch
Aravind Gowrisankar
Masters Alumni
Ajinkya Jain
Ph.D. Student
Nate Kohl
Ph.D. Alumni
nate [at] natekohl net
Jason Zhi Liang
Ph.D. Alumni
jasonzliang [at] utexas edu
Elliot Meyerson
Ph.D. Alumni
ekm [at] cs utexas edu
Rini Sherony
Formerly affiliated Collaborator
rini sherony [at] tema toyota com
Jeremy Stober
Ph.D. Alumni
stober [at] cs utexas edu
Vinod Valsalam
Ph.D. Alumni
vkv [at] alumni utexas net
Xiruo Wang
Masters Alumni
kevinxrwang [at] utexas edu
Publications
[Expand to show all 41]
[Minimize]
DIAS: A Domain-Independent Alife-Based Problem-Solving System
2022
Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen, In
Proceedings of the 2022 Conference on Artificial Life
, 2022.
Generalization of Agent Behavior through Explicit Representation of Context
2021
Cem Tutum, Suhaib Abdulquddos, Risto Miikkulainen, In
Proceedings of the 3rd IEEE Conference on Games
, , 2021.
Adapting to Unseen Environments through Explicit Representation of Context
2020
Cem C Tutum, Risto Miikkulainen, In
Proceedings of the 2020 Conference on Artificial Life (ALIFE 2020)
, pp. 581--588, Montreal, Canada, July 2020. The MIT Press.
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription
2020
Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad, In
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2020)
, 2020.
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play
2018
Reza Mahjourian, PhD Thesis, University of Texas at Austin.
Reuse of Neural Modules for General Video Game Playing
2016
Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen, To Appear In
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16)
2016.
Frame Skip Is a Powerful Parameter for Learning to Play Atari
2015
Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen, In
AAAI-15 Workshop on Learning for General Competency in Video Games
2015.
On the Cross-Domain Reusability of Neural Modules for General Video Game Playing
2015
Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen, In
IJCAI'15 Workshop on General Intelligence in Game-Playing Agents
, pp. 7--14 2015.
Adapting Morphology to Multiple Tasks in Evolved Virtual Creatures
2014
Dan Lessin, Don Fussell, Risto Miikkulainen, To Appear In
Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14) 2014
2014.
Grasping Novel Objects with a Dexterous Robotic Hand through Neuroevolution
2014
Pei-Chi Huang, Joel Lehman, Aloysius K. Mok, Risto Miikkulainen, Luis Sentis, In
IEEE Symposium Series on Computational Intelligence
2014. IEEE.
IJCNN-2013 Tutorial on Evolution of Neural Networks
2013
Risto Miikkulainen, To Appear In unpublished. Tutorial slides..
Open-Ended Behavioral Complexity for Evolved Virtual Creatures
2013
Dan Lessin, Don Fussell, Risto Miikkulainen, In
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2013
2013.
Constructing Controllers for Physical Multilegged Robots using the ENSO Neuroevolution Approach
2012
Vinod K. Valsalam, Jonathan Hiller, Robert MacCurdy, Hod Lipson and Risto Miikkulainen,
Evolutionary Intelligence
, Vol. 5, 1 (2012), pp. 1--12.
General-Purpose Optimization Through Information-Maximization
2012
Alan J Lockett, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. Tech Report AI12-11.
Evolving Symmetry for Modular System Design
2011
Vinod K. Valsalam and Risto Miikkulainen,
IEEE Transactions on Evolutionary Computation
, Vol. 15, 3 (2011), pp. 368--386.
Utilizing Symmetry and Evolutionary Search to Minimize Sorting Networks
2011
Vinod K. Valsalam and Risto Miikkulainen, Technical Report AITR-11-09, Department of Computer Sciences, The University of Texas at Austin.
Utilizing Symmetry in Evolutionary Design
2010
Vinod Valsalam, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. Technical Report AI-10-04.
Evolving Symmetric and Modular Neural Network Controllers for Multilegged Robots
2009
Vinod K. Valsalam and Risto Miikkulainen, In
xploring New Horizons in Evolutionary Design of Robots: Workshop at the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2009.
Evolving Symmetric and Modular Neural Networks for Distributed Control
2009
Vinod K. Valsalam and Risto Miikkulainen, In
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)
, pp. 731--738 2009.
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
2008
Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen,
Journal of Machine Learning Research
(2008), pp. 937-965.
From pixels to policies: a bootstrapping agent
2008
Jeremy Stober and Benjamin Kuipers, In
Proceedings of the IEEE International Conference on Development and Learning
2008.
Efficient Non-Linear Control through Neuroevolution
2006
Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen, In
Proceedings of the European Conference on Machine Learning
, pp. 654-662, Berlin 2006. Springer.
Parametrization and computations in shape spaces with area and boundary invariants
2006
Subramanian Ramamoorthy, Benjamin J. Kuipers and Lothar Wenzel, In
Proc. Fall Workshop on Computational and Combinatorial Geometry
, Northampton, MA 2006.
Evolving Neural Network Ensembles for Control Problems
2005
David Pardoe, Michael Ryoo, and Risto Miikkulainen, In
Proceedings of the Genetic and Evolutionary Computation Conference
2005.
A Neurocontrol Paradigm for Intelligent Process Control using Evolutionary Reinforcement Learning
2004
Alex van Eck Conradie, PhD Thesis, Department of Chemical Engineering, University of Stellenbosch.
Controller synthesis using qualitative models and constraints
2004
Subramanian Ramamoorthy, Benjamin Kuipers, In
Proceedings of the 18th International Workshop on Qualitative Reasoning
, J. de Kleer and K. Forbus (Eds.), pp. 41--50 2004.
Transfer of Neuroevolved Controllers in Unstable Domains
2004
Faustino J. Gomez and Risto Miikkulainen, In
Proceedings of the Genetic and Evolutionary Computation Conference
, Berlin 2004. Springer.
Active Guidance for a Finless Rocket Using Neuroevolution
2003
Faustino J. Gomez and Risto Miikkulainen, In
Proceedings of the Genetic and Evolutionary Computation Conference
, pp. 2084-2095, San Francisco 2003. Morgan Kaufmann.
PhD Thesis: Robust Non-Linear Control through Neuroevolution
2003
Faustino J. Gomez, Technical Report AI-TR-03-303, Department of Computer Sciences, University of Texas at Austin.
Qualitative heterogeneous control of higher order systems
2003
Subramanian Ramamoorthy and Benjamin Kuipers, In
Hybrid Systems: Computation and Control, Lecture Notes in Computer Science
, O. Maler and A. Pnueli (Eds.) 2003. Springer Verlag.
Robust Non-Linear Control through Neuroevolution
2003
Faustino J. Gomez, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin.
Adaptive Control Utilising Neural Swarming
2002
Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich, In
Proceedings of the Genetic and Evolutionary Computation Conference
, William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and Riccardo Poli and Karth...
Intelligent Process Control Utilizing Symbiotic Memetic Neuro-Evolution
2002
Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich, In
Proceedings of the 2002 Congress on Evolutionary Computation
, pp. 6 2002.
Qualitative modeling and heterogeneous control of global system behavior
2002
Benjamin Kuipers and Subramanian Ramamoorthy, In
Hybrid Systems: Computation and Control, Lecture Notes in Computer Science
, C. J. Tomlin and M. R. Greenstreet (Eds.) 2002. Springer Verlag.
Getting to the Airport: the Oldest Planning Problem in AI
2000
Vladimir Lifschitz, Norman McCain, Emilio Remolina and Armando Tacchella, In
Logic-Based Artificial Intelligence
, Jack Minker (Eds.), pp. 147-165 2000. Kluwer.
Missionaries and Cannibals in the Causal Calculator
2000
Vladimir Lifschitz, In
Proceedings of International Conference on Principles of Knowledge Representation and Reasoning (KR)
, pp. 85-96 2000.
High-Speed Navigation with Approximate Maps
1995
Richard Froom, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin.
The composition and validation of heterogeneous control laws
1994
Benjamin J. Kuipers and K. Astrom,
Automatica
, Vol. 30, 2 (1994), pp. 233--249.
Approximate maps for high-speed control of a mobile robot
1992
Richard Froom, In
Mobile Robots VII: Proceedings of SPIE -- the International Society for Optical Engineering v. 1831
, pp. 15--20, Boston, MA, November 1992.
Acquiring effective knowledge of environment geometry for minimum-time control of a mobile robot
1991
Richard Froom, In
Proceedings of the 1991 IEEE International Symposium on Intelligent Control
, pp. 501--506, Arlington, VA, August 1991.
The composition of heterogeneous control laws
1991
Benjamin Kuipers and Karl Astrom, In
Proceedings of the American Control Conference
, pp. 630--636 1991.
Projects
Evolving Controllers for Physical Multilegged Robots
2010 - 2011
Learning Strategic Behavior in Sequential Decision Tasks
2009 - 2014
Evolving Locomotion Controllers for Multilegged Robots
2008 - 2010
Utilizing Symmetry in Evolutionary Design
2007 - 2010
Software/Data
ENSO
This package contains software implementing the ENSO approach for evolving symmetric modular neural networks. It also in...
2010
Demos
Adapting Morphology to Multiple Tasks in Evolved Virtual Creatures
Dan Lessin, Don Fussell, Risto Miikkulainen
2014
Open-Ended Behavioral Complexity for Evolved Virtual Creatures
Dan Lessin, Don Fussell, Risto Miikkulainen
2013
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
Labs
Neural Networks