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Robotics
Our robotics research focuses on intelligent behavior, behavior learning, and learning of action and sensor models.
Subareas:
People
[Expand to show all 48]
[Minimize]
Adrian Agogino
Formerly affiliated Collaborator
adrian k agogino [at] nasa gov
Mazda Ahmadi
Formerly affiliated Ph.D. Student
mazda [at] cs utexas edu
Patrick Beeson
Postdoctoral Alumni
pbeeson [at] traclabs com
Daniel Brown
Ph.D. Student
dsbrown [at] cs utexas edu
Harold H. Chaput
Ph.D. Alumni
hchaput [at] ea com
Harold H. Chaput
Ph.D. Alumni
hchaput [at] ea com
Caleb Chuck
Ph.D. Student
caleb_chuck [at] yahoo com
Yuchen Cui
Ph.D. Student
yuchencui [at] utexas edu
Thomas D'Silva
Masters Alumni
twdsilva [at] gmail com
Thomas D'Silva
Masters Alumni
twdsilva [at] gmail com
Peggy Fidelman
Formerly affiliated Ph.D. Student
peggyf [at] cs utexas edu
Faustino Gomez
Postdoctoral Alumni
tino [at] idsia ch
Wonjoon Goo
Ph.D. Student
wonjoon [at] cs utexas edu
Aravind Gowrisankar
Masters Alumni
Reymundo A. Gutierrez
Ph.D. Student
Todd Hester
Postdoctoral Alumni
todd [at] cs utexas edu
Ajinkya Jain
Ph.D. Student
Yuqian Jiang
Ph.D. Student
Shivaram Kalyanakrishnan
Ph.D. Alumni
shivaram [at] cs utexas edu
Nate Kohl
Ph.D. Alumni
nate [at] natekohl net
Gregory Kuhlmann
Ph.D. Alumni
kuhlmann [at] cs utexas edu
Juhyun Lee
Ph.D. Alumni
impjdi [at] gmail com
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
Formerly affiliated Visitor
"last name" at isi edu
David E. Moriarty
Ph.D. Alumni
moriarty [at] alumni utexas net
Jonathan Mugan
Ph.D. Alumni
jmugan [at] cs utexas edu
Sanmit Narvekar
Ph.D. Student
sanmit [at] cs utexas edu
Andres Santiago Perez-Bergquist
Undergraduate Alumni
aspb [at] mapache org
Jefferson Provost
Ph.D. Alumni
jefferson provost [at] gmail com
Jefferson Provost
Ph.D. Alumni
jefferson provost [at] gmail com
Michael Quinlan
Formerly affiliated Research Scientist
mquinlan [at] cs utexas edu
Akanksha Saran
Ph.D. Student
asaran [at] cs utexas edu
Adam Setapen
Masters Alumni
asetapen [at] cs utexas edu
Rini Sherony
Formerly affiliated Collaborator
rini sherony [at] tema toyota com
Jivko Sinapov
Postdoctoral Alumni
jsinapov [at] cs utexas edu
Yiu Fai Sit
Ph.D. Alumni
yfsit [at] cs utexas edu
Mohan Sridharan
Ph.D. Alumni
mhnsrdhrn [at] gmail com
Kenneth Stanley
Postdoctoral Alumni
kstanley [at] cs ucf edu
Jeremy Stober
Ph.D. Alumni
stober [at] cs utexas edu
Peter Stone
Faculty
pstone [at] cs utexas edu
Daniel Stronger
Ph.D. Alumni
dan stronger [at] gmail com
Matthew Taylor
Ph.D. Alumni
taylorm [at] eecs wsu edu
Xiruo Wang
Masters Alumni
kevinxrwang [at] utexas edu
Publications
[Expand to show all 154]
[Minimize]
A Novel Control Law for Multi-joint Human-Robot Interaction Tasks While Maintaining Postural Coordination
2023
Keya Ghonasgi, Reuth Mirsky, Adrian M Haith, Peter Stone, and Ashish D Deshpande,
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
(2023).
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation
2023
Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, and Peter Stone, In
Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA 2023)
, London, England, May 2023.
Causal Policy Gradient for Whole-Body Mobile Manipulation
2023
Jiaheng Hu, Peter Stone, and Roberto Martin-Martin, In
Robotics: Science and Systems (RSS2023)
, Daegu, Republic of Korea, July 2023.
Kinematic coordinations capture learning during human–exoskeleton interaction
2023
Keya Ghonasgi, Reuth Mirsky, Nisha Bhargava, Adrian M Haith, Peter Stone, and Ashish D Deshpande,
Scientific Reports
, Vol. 13 (2023), pp. 10322.
Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways
2023
Jinsoo Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, and Peter Stone, In
Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA 2023)
, London, England, May 2023.
Motion Planning (In)feasibility Detection using a Prior Roadmap via Path and Cut Search
2023
Yoonchang Sung and Peter Stone, In
Robotics: Science and Systems (RSS2023)
, Daegu, Republic of Korea, July 2023.
Reward (Mis)design for autonomous driving
2023
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, and Peter Stone,
Artificial Intelligence
, Vol. 316 (2023).
Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning
2023
Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuqian Jiang, Yuke Zhu, Peter Stone, and Shiqi Zhang, In
International Conference on Intelligent Robots and Systems
, Detroit, USA, October 2023.
Adversarial Imitation Learning from Video using a State Observer
2022
Haresh Karnan, Garrett Warnell, Faraz Torabi, and Peter Stone, In
International Conference on Robotics and Automation, 2022
, Philadelphia, Pennsylvania, May 2022.
APPL: Adaptive Planner Parameter Learning
2022
Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, abd Gauraang Dhamankar, Anirudh Nair, Garrett Warnell, and Peter Stone,
Robotics and Autonomous Systems
(2022).
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022
2022
Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, and Philip Dames,
IEEE Robotics and Automation Magazine
(2022).
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation
2022
Yifeng Zhu, Peter Stone, and Yuke Zhu,
IEEE Robotics and Automation Letters
(2022).
Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles
2022
Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, and Yuke Zhu, In
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
, New Orleans, LA, June 2022.
DynaBARN: Benchmarking Metric Ground Navigation in Dynamic Environments
2022
Anirudh Nair, Fulin Jiang, Kang Hou, Zifan Xu, Shuozhe Li, Xuesu Xiao, and Peter Stone, In
Proceedings of the 2022 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
, November 2022.
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning
2022
Yoonchang Sung, Zizhao Wang, and Peter Stone, In
Proceedings of the 6th Conference on Robot Learning (CoRL 2022)
, Auckland, New Zealand, December 2022.
Motion Planning and Control for Mobile Robot Navigation Using Machine Learning: a Survey
2022
Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone,
Autonomous Robots
(2022).
Quantifying Changes in Kinematic Behavior of a Human-Exoskeleton Interactive System
2022
Keya Ghonasgi, Reuth Mirsky, Adrian M Haith, Peter Stone, and Ashish D Deshpande, In
Proceedings of the 35th International Conference on Intelligent Robots and Systems (IROS)
, Kyoto, Japan, October 2022.
Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset Of Demonstrations For Social Navigation
2022
Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Soren Pirk, Alexander Toshev, Justin Hart, Joydeep Biswas, and Peter Stone,
Robotics and Automation Letters (RA-L), 2022
(2022).
Towards a Real-Time, Low-Resource, End-to-end Object Detection Pipeline for Robot Soccer
2022
Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, and Peter Stone, In
Proceedings of the RoboCup Symposium, 2022
, Bangkok, Thailand, July 2022.
VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics
2022
Haresh Karnan, Kavan Sikand, Pranav Atreya, Sadegh Rabiee, Xuesu Xiao, Garrett Warnell, Peter Stone, and Joydeep Biswas, In
International Conference on Intelligent Robots and Systems, 2022
, Kyoto, Japan, October 2022.
VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors
2022
Yifeng Zhu, Abhishek Joshi, Peter Stone, and Yuke Zhu, In
Proceedings of the 6th Conference on Robot Learning (CoRL 2022)
, Auckland, New Zealand, January 2022.
VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation
2022
Haresh Karnan, Garrett Warnell, Xuesu Xiao, and Peter Stone, In
International Conference on Robotics and Automation, 2022
, Philadelphia, Pennsylvania, May 2022.
A Lifelong Learning Approach to Mobile Robot Navigation
2021
Bo Liu, Xuesu Xiao, and Peter Stone, In
IEEE International Conference on Robotics and Automation (ICRA), 2021
, Xi'an, China, June 2021.
Agile Robot Navigation through Hallucinated Learning and Sober Deployment
2021
Xuesu Xiao, Bo Liu, and Peter Stone, In
Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021)
, Xi'an, China, June 2021.
APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback
2021
Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone,
{IEEE} Robotics and Automation Letters, presented at International Conference on Intelligent Robots and Systems ({IROS})
(2021).
APPLI: Adaptive Planner Parameter Learning From Interventions
2021
Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone, In
Proceedings of the International Conference on Robotics and Automation (ICRA 2021)
, Xi'an, China, May 2021.
APPLR: Adaptive Planner Parameter Learning from Reinforcement
2021
Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, and Peter Stone, In
Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021)
, Xi'an, China, June 2021.
Capturing Skill State in Curriculum Learning for Human Skill Acquisition
2021
Keya Ghonasgi, Reuth Mirsky, Sanmit Narvekar, Bharath Masetty, Adrian M. Haith, Peter Stone, and Ashish D. Deshpande, In
International Conference on Intelligent Robots and Systems (IROS)
, Virtual, September 2021.
From Agile Ground to Aerial Navigation: Learning from Learned Hallucination
2021
Zizhao Wang, Xuesu Xiao, Alexander J Nettekoven, Kadhiravan Umasankar, Anika Singh, Sriram Bommakanti, Ufuk Topcu, and Peter Stone, In
Proceedings of the International Conference on Intelligent Robots and Systems (IROS 2021)
, Prague, Czech Republic, October 2021.
Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle
2021
Yu-Sian Jiang, Garrett Warnell, and Peter Stone, In
Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI)
, A Virtual Conference, February 2021.
Grounded Action Transformation for Sim-to-Real Reinforcement Learning
2021
Josiah P.Hanna, Siddharth Desai, Haresh Karnan, Garrett Warnell, and Peter Stone,
Special Issue on Reinforcement Learning for Real Life, Machine Learning, 2021
(2021).
Incorpotating Gaze into Social Navigation
2021
Justin Hart, Reuth Mirsky, Xuesu Xiao, and Peter Stone, In
Robotics: Science and Systems Workshop on Social Robot Navigation (RSS)
, Virtual, July 2021.
Intelligent Disobedience and AI Rebel Agents in Assistive Robotics
2021
Reuth Mirsky and Peter Stone, In
ASIMOV workshop as part of the International Conference on Intelligent Robots and Systems (IROS)
, Virtual, November 2021.
Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain
2021
Xuesu Xiao, Joydeep Biswas, and Peter Stone, In
Opportunities and Challenges with Autonomous Racing Workshop at the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021)
, Xi'an, China, June 2021.
Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain
2021
Xuesu Xiao, Joydeep Biswas, and Peter Stone,
IEEE Robotics and Automation Letters
(2021).
Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning
2021
Zifan Xu, Xuesu Xiao, Garrett Warnell, Anirudh Nair, and Peter Stone, In
Proceedings of the 2021 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2021)
, New York, USA, October 2021.
Team Orienteering Coverage Planning with Uncertain Reward
2021
Bo Liu, Xuesu Xiao, and Peter Stone, No other information
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination
2021
Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone,
IEEE Robotics and Automation Letters
(2021).
Watch Where You're Going! Gaze and Head Orientation as Predictors for Social Robot Navigation
2021
Blake Holman, Abrar Anwar, Akash Singh, Mauricio Tec, Justin Hart, and Peter Stone, In
Proceedings of the International Conference on Robotics and Automation (ICRA 2021)
, Xi'an, China, May 2021.
Agents teaching agents: a survey on inter-agent transfer learning
2020
Felipe Leno Da Silva, Garrett Warnell, Anna Helena Reali Costa, and Peter Stone,
Autonomous Agents and Multi-Agent Systems
(2020).
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch
2020
Siddarth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, and Peter Stone, In
Proceedings of the 34th International Conference on Neural Information Processing Systems (NeurIPS 2020)
, Virtual, December 2020.
APPLD: Adaptive Planner Parameter Learning from Demonstration
2020
Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, and Peter Stone, No other information
Benchmarking Metric Ground Navigation
2020
Daniel Perille, Abigail Truong, Xuesu Xiao, and Peter Stone, In
Proceedings of the 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2016)
, Virtual Conference, November 2020.
Deep R-Learning for Continual Area Sweeping
2020
Rishi Shah, Yuqian Jiang, Justin Hart, and Peter Stone,
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)
(2020).
Reinforced Grounded Action Transformation for Sim-to-Real Transfer
2020
Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, and Peter Stone, In
IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS 2020)
, October 2020.
Stochastic Grounded Action Transformation for Robot Learning in Simulation
2020
Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, and Peter Stone, In
IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS 2020)
, Las Vegas, NV, USA, October 2020.
Using Human-Inspired Signals to Disambiguate Navigational Intentions
2020
Justin Hart, Reuth Mirsky, Xuesu Xiao, Stone Tejeda, Bonny Mahajan, Jamin Goo, Kathryn Baldauf, Sydney Owen, and Peter Stone, In
Proceedings of the 12th International Conference on Social Robotics (ICSR)
, Golden, Colorado, November 2020.
Ad hoc Teamwork with Behavior Switching Agents
2019
Manish Ravula, Shani Alkobi, and Peter Stone,
International Joint Conference on Artificial Intelligence (IJCAI)
(2019).
Open-World Reasoning for Service Robots
2019
Yuqian Jiang, Nick Walker, Justin Hart, Peter Stone, In
Proceedings of the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019)
, Berkeley, CA, USA, July 2019.
UT Austin Villa: RoboCup 2018 3D Simulation League Champions
2019
Patrick MacAlpine, Faraz Torabi, Brahma Pavse, John Sigmon and Peter Stone, In
RoboCup 2018: Robot Soccer World Cup XXII
, Dirk Holz and Katie Genter and Maarouf Saad and Oskar von Stryk (Eds.) 2019. Springer.
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play
2018
Reza Mahjourian, PhD Thesis, University of Texas at Austin.
Dynamically Constructed (PO)MDPs for Adaptive Robot Planning
2017
Shiqi Zhang, Piyush Khandelwal, and Peter Stone, In
Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI)
, San Francisco, CA, February 2017.
Multirobot Symbolic Planning under Temporal Uncertainty
2017
Shiqi Zhang, Yuqian Jiang, Guni Sharon, and Peter Stone, In
Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Sytems (AAMAS)
, Sao Paulo, Brazil, May 2017.
Opportunistic Active Learning for Grounding Natural Language Descriptions
2017
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin Hart, Peter Stone, and Raymond J. Mooney, In
Proceedings of the 1st Annual Conference on Robot Learning (CoRL-17)
, Sergey Levine and Vincent Vanhoucke and Ken Goldberg (Eds.), pp. 67--76, Mountain View, California, November 2017. PMLR.
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making
2016
Matteo Leonetti, Luca Iocchi, and Peter Stone,
Artificial Intelligence
, Vol. 241 (2016), pp. 103 - 130.
Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy"
2016
Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, and Raymond J. Mooney, In
Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16)
, pp. 3477--3483, New York City 2016.
Learning to Order Objects Using Haptic and Proprioceptive Exploratory Behaviors
2016
Jivko Sinapov, Priyanka Khante, Maxwell Svetlik, and Peter Stone, In
Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI)
, New York City, USA, Jult 2016.
Machines Are Becoming More Creative Than Humans
2016
Risto Miikkulainen,
VentureBeat
, Vol. 2016/04/03 (2016).
Making Friends on the Fly: Cooperating with New Teammates
2016
Samuel Barrett, Avi Rosenfeld, Sarit Kraus, and Peter Stone,
Artificial Intelligence
(2016).
Benchmarking Robot Cooperation without Pre-Coordination in the RoboCup Standard Platform League Drop-In Player Competition
2015
Katie Genter, Tim Laue, and Peter Stone, In
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-15)
, Hamburg, Germany, September 2015.
CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot
2015
Shiqi Zhang and Peter Stone, In
Proceedings of the 29th Conference on Artificial Intelligence (AAAI)
, January 2015.
Learning to Interpret Natural Language Commands through Human-Robot Dialog
2015
Jesse Thomason, Shiqi Zhang, Raymond Mooney, and Peter Stone, In
Proceedings of the 2015 International Joint Conference on Artificial Intelligence (IJCAI)
, pp. 1923--1929, Buenos Aires, Argentina, July 2015.
Mobile Robot Planning using Action Language BC with an Abstraction Hierarchy
2015
Shiqi Zhang, Fangkai Yang, Piyush Khandelwal, and Peter Stone, In
Proceedings of the 13th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR)
, Lexington, KY, USA, September 2015.
Sensorimotor Embedding: A Developmental Approach to Learning Geometry
2015
Jeremy Stober, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin.
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.
Mobile Robot Planning using Action Language
BC
with Hierarchical Domain Abstractions
2014
Shiqi Zhang, Fangkai Yang, Piyush Khandelwal, and Peter Stone, In
The 7th Workshop on Answer Set Programming and Other Computing Paradigms (ASPOCP)
, July 2014.
Multi-robot Human Guidance using Topological Graphs
2014
Piyush Khandelwal and Peter Stone, In
AAAI Spring 2014 Symposium on Qualitative Representations for Robots (AAAI-SSS)
, March 2014.
Planning in Action Language
BC
while Learning Action Costs for Mobile Robots
2014
Piyush Khandelwal, Fangkai Yang, Matteo Leonetti, Vladimir Lifschitz, and Peter Stone, In
International Conference on Automated Planning and Scheduling (ICAPS)
, June 2014.
Planning in Answer Set Programming while Learning Action Costs for Mobile Robots
2014
Fangkai Yang, Piyush Khandelwal, Matteo Leonetti, and Peter Stone, No other information
Trading Control Intelligence for Physical Intelligence: Muscle Drives in Evolved Virtual Creatures
2014
Dan Lessin, Don Fussell, Risto Miikkulainen, To Appear In
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2014
2014.
Architecture of a Cyberphysical Avatar
2013
Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Quan Leng, Xiuming Zhu, Luis Sentis, Kwan Suk Kim, and Risto Miikkulainen, In
Proceedings of the ACM/IEEE Fourth International Conference on Cyber-Physical Systems (ICCPS-2013)
2013.
Effective Diversity Maintenance in Deceptive Domains
2013
Joel Lehman, Kenneth O. Stanley and Risto Miikkulainen, To Appear In
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2013
2013.
IJCNN-2013 Tutorial on Evolution of Neural Networks
2013
Risto Miikkulainen, To Appear In unpublished. Tutorial slides..
A Platform for Evaluating Autonomous Intersection Management Policies
2012
Chien-Liang Fok, Maykel Hanna, Seth Gee, Tsz-Chiu Au, Peter Stone, Christine Julien, and Sriram Vishwanath, In
Proceedings of the {ACM/IEEE} Third International Conference on Cyber-Physical Systems (ICCPS 2012)
, April 2012.
Architecture of a Cyberphysical Avatar
2012
Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Xiuming Zhu, Luis Sentis, Kan Suk Kim, Risto Miikkulainen, and Jacob Menashe, In
Proceedings of the International Workshop on Real-Time and Distributed Computing in Emerging Applications (REACTION)
2012.
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.
Evaluating Modular Neuroevolution in Robotic Keepaway Soccer
2012
Anand Subramoney, Masters Thesis, Department of Computer Science, The University of Texas at Austin. 54 pages.
TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains.
2012
Todd Hester, PhD Thesis, The University of Texas at Austin. Code available at: http://www.ros.org/wiki/rl-texplore-ros-pkg.
Video: RoboCup Robot Soccer History 1997 - 2011
2012
Manuela Veloso and Peter Stone, In
Proceedings of IROS 2012-IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012)
2012. Available from http://www.robocup.org/2012/10/robocup-video-finalist-for-best-v...
RTMBA: A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control
2012
Todd Hester, Michael Quinlan, and Peter Stone, In
{IEEE} International Conference on Robotics and Automation (ICRA)
, May 2012.
TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots
2012
Todd Hester and Peter Stone,
Machine Learning
(2012).
A Low Cost Ground Truth Detection System Using the Kinect
2011
Piyush Khandelwal and Peter Stone, In
Proceedings of the RoboCup International Symposium 2011 (RoboCup 2011)
, July 2011.
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.
Learning Geometry from Sensorimotor Experience
2011
Jeremy Stober, Risto Miikkulainen, and Benjamin Kuipers, In
Proceedings of the First International Conference on Development and Learning and Epigenetic Robotics
, Frankfurt am Main, Germany, August 2011.
Motion Segmentation by Learning Homography Matrices from Motor Signals
2011
Changhai Xu and Benjamin Kuipers,
Canadian Conference on Computer and Robot Vision (CRV-11)
(2011).
Object Detection Using Principal Contour Fragments
2011
Changhai Xu and Benjamin Kuipers, In
Canadian Conference on Computer and Robot Vision (CRV-11)
2011.
Autonomous Qualitative Learning of Distinctions and Actions in a Developing Agent
2010
Jonathan Mugan, PhD Thesis, University of Texas at Austin.
Bringing Simulation to Life: A Mixed Reality Autonomous Intersection
2010
Michael Quinlan, Tsz-Chiu Au, Jesse Zhu, Nicolae Stiurca, and Peter Stone, In
Proceedings of IROS 2010-IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010)
, October 2010.
Generalized Model Learning for Reinforcement Learning on a Humanoid Robot
2010
Todd Hester, Michael Quinlan, and Peter Stone, In
International Conference on Robotics and Automation
2010.
Towards the Object Semantic Hierarchy
2010
Changhai Xu and Benjamin Kuipers, In
International Conference on Development and Learning (ICDL-10)
2010.
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.
3D pose estimation for planes
2009
Changhai Xu, Benjamin Kuipers, and Aniket Murarka, In
ICCV Workshop on 3D Representation for Recognition (3dRR-09)
2009.
A Comparison of Strategies for Developmental Action Acquisition in QLAP
2009
Jonathan Mugan and Benjamin Kuipers, In
Proceedings of the International Conference on Epigenetic Robotics (EpiRob-09)
, pp. 2009.
A framework for planning comfortable and customizable motion of an assistive mobile robot
2009
Shilpa Gulati, Chetan Jhurani, Benjamin Kuipers, and Raul Longoria, In
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2009.
A stereo vision based 3D mapping algorithm for detecting ramps, drop-offs, and obstacles for safe local navigation
2009
Aniket Murarka and Benjamin Kuipers, In
International Conference on Intelligent Robots and Systems (IROS)
2009.
Autonomously Learning an Action Hierarchy Using a Learned Qualitative State Representation
2009
Jonathan Mugan and Benjamin Kuipers, In
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-09)
2009.
Cognitive Task Analysis for Developing UAV Wilderness Search Support
2009
Julie A. Adams, Curtis M. Humphrey, Michael A. Goodrich, Joseph L. Cooper, Bryan S. Morse, Cameron Engh and Nathan Rasmussen,
Journal of Cognitive Engineering and Decision Making
, Vol. 3, 1 (2009), pp. 1--26.
Connectivity-based Localization in Robot Networks
2009
Tobias Jung, Mazda Ahmadi, and Peter Stone, In
International Workshop on Robotic Wireless Sensor Networks (IEEE DCOSS '09)
, June 2009.
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.
Improving Particle Filter Performance Using SSE Instructions
2009
Peter Djeu, Michael Quinlan, and Peter Stone, In
Proceedings of IROS 2009: 2009 IEEE/RSJ International Conference on Intelligent RObots and Systems
, October 2009.
Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution
2009
Thomas D'Silva, Risto Miikkulainen,
Neural Processing Letters
(2009).
Learning the Sensorimotor Structure of the Foveated Retina
2009
Jeremy Stober, Lewis Fishgold, and Benjamin Kuipers, In
Proceedings of the Ninth International Conference on Epigenetic Robotics
2009.
Navigation, Control and Recovery of the ENDURANCE Under-ice Hovering AUV
2009
Kristof Richmond, Shilpa Gulati, Chris Flesher, Bartholomew P. Hogan, and William C. Stone, In
International Symposium on Unmanned Untethered Submersible Technology (UUST)
2009.
Sensor Map Discovery for Developing Robots
2009
Jeremy Stober, Lewis Fishgold, and Benjamin Kuipers, In
AAAI Fall Symposia Series: Manifold Learning and Its Applications
2009. Appears in AAAI Technical Report FS-09-04..
Skill Reuse in Lifelong Developmental Learning
2009
Jonathan Mugan and Benjamin Kuipers, In
IROS 2009 Workshop: Autonomous Mental Development for Intelligent Robots and Systems
, pp. 2009.
Sub-ice exploration of West Lake Bonney: ENDURANCE 2008 Mission
2009
Bill Stone, Bart Hogan, Chris Flesher, Shilpa Gulati, Kristof Richmond, Aniket Murarka, Gregory Kuhlmann, and Mohan Sridharan, In
International Symposium on Unmanned Untethered Submersible Technology (UUST)
2009.
Towards using Unmanned Aerial Vehicles (UAVs) in Wilderness Search and Rescue: Lessons from field trials
2009
Michael A. Goodrich, Bryan S. Morse, Cameron Engh, Joseph L. Cooper and Julie A. Adams,
Interaction Studies
, Vol. 10, 3 (2009), pp. 455--481.
Vision based frozen surface egress: A docking algorithm for the ENDURANCE AUV
2009
Aniket Murarka, Gregory Kuhlmann, Shilpa Gulati, Mohan Sridharan, Chris Flesher, and Bill Stone, In
International Symposium on Unmanned Untethered Submersible Technology (UUST)
2009.
Continuous-domain reinforcement learning using a learned qualitative state representation
2008
Jonathan Mugan and Benjamin Kuipers, In
22nd International Workshop on Qualitative Reasoning (QR-08)
2008.
Creating and Utilizing Symbolic Representations of Spatial Knowledge using Mobile Robots
2008
Patrick Beeson, PhD Thesis, Computer Sciences Department, The University of Texas at Austin.
Maximum Likelihood Estimation of Sensor and Action Model Functions on a Mobile Robot
2008
Daniel Stronger and Peter Stone, In
IEEE International Conference on Robotics and Automation
, May 2008.
Negative Information and Line Observations for Monte Carlo Localization
2008
Todd Hester and Peter Stone, In
IEEE International Conference on Robotics and Automation
, May 2008.
Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents
2008
Daniel Stronger and Peter Stone,
International Journal on Artificial Intelligence Tools
, Vol. 17, 1 (2008), pp. 159-174.
Supporting Flight Control for UAV-Assisted Wilderness Search and Rescue Through Human Centered Interface Design
2008
Joseph L. Cooper, Masters Thesis, Brigham Young University.
Supporting Wilderness Search and Rescue using a Camera-Equipped Mini UAV
2008
Michael A. Goodrich, Bryan S. Morse, Damon Gerhardt, Joseph L. Cooper, Morgan Quigley, Julie A. Adams and Curtis Humphrey,
Journal of Field Robotics
, Vol. 25, 1--2 (2008), pp. 89--110.
Towards Combining UAV and Sensor Operator Roles in UAV-Enabled Visual Search
2008
Joseph L. Cooper and Michael A. Goodrich, In
Proceedings of ACM/IEEE International Conference on Human-Robot Interaction
, Amsterdam, The Netherlands, March 2008.
Towards the Application of Reinforcement Learning to Undirected Developmental Learning
2008
Jonathan Mugan and Benjamin Kuipers, In
Proceedings of the International Conference on Epigenetic Robotics (EpiRob-08)
2008.
Trajectory generation for dynamic bipedal walking through qualitative model based manifold learning
2008
Subramanian Ramamoorthy and Benjamin Kuipers, In
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA-08)
2008.
A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot
2007
Daniel Stronger and Peter Stone, In
IEEE International Conference on Robotics and Automation
, pp. 3915-3920, April 2007.
Autonomous Development of a Grounded Object Ontology by a Learning Robot
2007
Joseph Modayil and Benjamin Kuipers, In
Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI-07)
2007.
DARPA Urban Challenge Technical Report: Austin Robot Technology
2007
Peter Stone, Patrick Beeson, Tekin Mericli, and Ryan Madigan, Available from http://www.darpa.mil/grandchallenge/rules.asp.
Detecting Motion in the Environment with a Moving Quadruped Robot
2007
Peggy Fidelman, Thayne Coffman and Risto Miikkulainen, In
RoboCup-2006: Robot Soccer World Cup X
, Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi (Eds.), pp. 219-231, Berlin 2007. Springer Verlag.
Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication
2007
Patrick Beeson, Matt MacMahon, Joseph Modayil, Aniket Murarka, Benjamin Kuipers, and Brian Stankiewicz, In
AAAI Spring Symposium Series, Interaction Challenges for Intelligent Assistants
2007. AAAI Technical Report SS-07-04.
Learning and Multiagent Reasoning for Autonomous Agents
2007
Peter Stone, In
The 20th International Joint Conference on Artificial Intelligence
, pp. 13-30, January 2007.
Learning distinctions and rules in a continuous world through active exploration
2007
Jonathan Mugan and Benjamin Kuipers, In
Proceedings of the International Conference on Epigenetic Robotics (EpiRob-07)
2007.
Learning to predict the effects of actions: synergy between rules and landmarks
2007
Jonathan Mugan and Benjamin Kuipers, In
Proceedings of the International Conference on Development and Learning (ICDL-07)
2007.
Reinforcement Learning in High-Diameter, Continuous Environments
2007
Jefferson Provost, PhD Thesis, Computer Sciences Department, University of Texas at Austin.
Robot Developmental Learning of an Object Ontology Grounded in Sensorimotor Experience
2007
Joseph Modayil, PhD Thesis, Computer Sciences Department, University of Texas at Austin.
Self-Organizing Distinctive State Abstraction Using Options
2007
Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen, In
Proceedings of the 7th International Conference on Epigenetic Robotics
2007.
Task Encoding, Motion Planning and Intelligent Control with Qualitative Models
2007
Subramanian Ramamoorthy, PhD Thesis, Electrical and Computer Engineering Department, University of Texas at Austin.
Using a Mini-UAV to Support Wilderness Search and Rescue Practices for Human-Robot Teaming
2007
Michael A. Goodrich, Joseph L. Cooper, Julie A. Adams, Curtis Humphrey, Ron Zeeman and Brian G. Buss, In
Proceedings of the IEEE International Conference on Safety, Security and Rescue Robotics
, Rome, Italy, September 2007.
Where do actions come from? Autonomous robot learning of objects and actions
2007
Joseph Modayil and Benjamin Kuipers, In
AAAI Spring Symposium Series 2007, Control Mechanisms for Spatial Knowledge Processing in Cognitive / Intelligent Systems
2007.
Developing navigation behavior through self-organizing distinctive state abstraction
2006
Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen,
Connection Science
, Vol. 18 (2006), pp. 159-172.
Evolving Robot Arm Controllers Using the NEAT Neuroevolution Method
2006
Thomas W. D'Silva, Masters Thesis, Department of Electrical and Computer Engineering, The University of Texas at Austin.
From Pixels to Multi-Robot Decision-Making: A Study in Uncertainty
2006
Peter Stone, Mohan Sridharan, Daniel Stronger, Gregory Kuhlmann, Nate Kohl, Peggy Fidelman, and Nicholas K. Jong,
Robotics and Autonomous Systems
, Vol. 54, 11 (2006), pp. 933-43. Special issue on Planning Under Uncertainty in Robotics..
Low-Discrepancy Curves and Efficient Coverage of Space
2006
Subramanian Ramamoorthy, Ram Rajagopal, Qing Ruan, Lothar Wenzel, In
Algorithmic Foundations of Robotics VII
2006. Springer-Verlag.
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.
Qualitative hybrid control of dynamic bipedal walking
2006
Subramanian Ramamoorthy, Benjamin Kuipers, In
Robotics: Science and Systems II
, G. S. Sukhatme, S. Schaal, W. Burgard and D. Fox (Eds.) 2006. MIT Press.
Towards Autonomous Sensor and Actuator Model Induction on a Mobile Robot
2006
Daniel Stronger and Peter Stone,
Connection Science
, Vol. 18, 2 (2006), pp. 97-119. Special Issue on Developmental Robotics..
A Model-Based Approach to Robot Joint Control
2005
Daniel Stronger and Peter Stone, In
RoboCup-2004: Robot Soccer World Cup VIII
, Daniele Nardi and Martin Riedmiller and Claude Sammut (Eds.), Vol. 3276, pp. 297-309, Berlin 2005. Springer Verlag.
Continuous Area Sweeping: A Task Definition and Initial Approach
2005
Mazda Ahmadi and Peter Stone, In
The 12th International Conference on Advanced Robotics
, July 2005.
Learning Basic Navigation for Personal Satellite Assistant Using Neuroevolution
2005
Yiu Fai Sit and Risto Miikkulainen, In
Proceedings of the Genetic and Evolutionary Computation Conference
2005.
Self-Organizing Perceptual and Temporal Abstraction for Robot Reinforcement Learning
2004
Jefferson Provost, Benjamin J. Kuipers and Risto Miikkulainen, In
AAAI-04 Workshop on Learning and Planning in Markov Processes
2004.
Learning Ball Acquisition on a Physical Robot
2004
Peggy Fidelman and Peter Stone, In
International Symposium on Robotics and Automation (ISRA)
2004.
The Constructivist Learning Architecture: A Model of Cognitive Development for Robust Autonomous Robots
2004
Harold H. Chaput, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. Also Technical Report TR-04-34.
Constructivist Learning: A Neural Implementation of the Schema Mechanism
2003
Harold H. Chaput, Benjamin Kuipers and Risto Miikkulainen, In
Proceedings of WSOM '03: Workshop for Self-Organizing Maps
, Kitakyushu, Japan 2003.
Toward Learning the Causal Layer of the Spatial Semantic Hierarchy using SOMs
2001
Jefferson Provost, Patrick Beeson, and Benjamin J. Kuipers, In
AAAI Spring Symposium Series, Learning Grounded Representations
2001.
Hierarchical Evolution Of Neural Networks
1998
David E. Moriarty and Risto Miikkulainen, In
Proceedings of the 1998 IEEE Conference on Evolutionary Computation (ICEC98)
, pp. 428-433, Anchorage, AK 1998. Piscataway, NJ: IEEE.
Forming Neural Networks Through Efficient And Adaptive Coevolution
1997
David E. Moriarty and Risto Miikkulainen,
Evolutionary Computation
, Vol. 5 (1997), pp. 373--399.
Symbiotic Evolution Of Neural Networks In Sequential Decision Tasks
1997
David E. Moriarty, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. 117. Technical Report UT-AI97-257.
Evolving Obstacle Avoidance Behavior In A Robot Arm
1996
David E. Moriarty and Risto Miikkulainen, In
From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior
, Pattie Maes and Maja J. Mataric and Jean-Arcady Meyer and Jordan Pollack an...
Grounding Robotic Control With Genetic Neural Networks
1994
Diane Law and Risto Miikkulainen, Technical Report AI94-223, Department of Computer Sciences, The University of Texas at Austin.
Projects
Evolving Controllers for Physical Multilegged Robots
2010 - 2011
Learning Strategic Behavior in Sequential Decision Tasks
2009 - 2014
TEXPLORE: Real-Time Sample Efficient Reinforcement Learning
2009 - Present
Evolving Locomotion Controllers for Multilegged Robots
2008 - 2010
Teaching an Agent Manually via Evaluative Reinforcement (TAMER)
2008 - Present
Utilizing Symmetry in Evolutionary Design
2007 - 2010
The UT Austin Villa Robot Soccer team
2003 - Present
Learning Schemas for Robot Perception
2000 - 2007
CLA: The Constructivist Learning Architecture
1998 - 2004
Software/Data
[Expand to show all 12]
[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
Keepaway player framework source code, version 0.6
The Keepaway player framework is an implementation of all the low- and mid-level keepaway behaviors described in the pub...
Demos
Adapting Morphology to Multiple Tasks in Evolved Virtual Creatures
Dan Lessin, Don Fussell, Risto Miikkulainen
2014
TEXPLORE: Real-Time Sample Efficient Reinforcement Learning
Todd Hester
2012
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
SPL Robocup Soccer
2008
Labs
Neural Networks
Learning Agents