Publications

2013

• Minlue Wang and Richard Dearden. 2013. Run-Time Improvement of Point-Based POMDP Policies. To appear at The 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013).
• Chris Burbridge and Richard Dearden. 2013. An Approach for Efficient Planning of Robotic Manipulation Tasks. To appear at The International Conference on Automated Planning and Scheduling (ICAPS 2013).
• Richard Dearden and Chris Burbridge. 2013. Manipulation Planning using Learned Symbolic State Abstraction. Submitted to the Journal of Robotics and Autonomous Systems, Special Issue on Best Papers from the 2012 FIRA-TAROS Congress.
• Richard Dearden and Juhan Ernits. 2013. Automated Fault Diagnosis for an Autonomous Underwater Vehicle. To appear in the IEEE Journal of Oceanic Engineering.

2012

• Chris Burbridge, Zeyn Saigol, Florian Schmidt, Christoph Borst and Richard Dearden. 2012. Learning Operators for Manipulation Planning. Proceedings of IROS 2012.
• Chris Burbridge and Richard Dearden. 2012. Learning the Geometric Meaning of Symbolic Abstractions for Manipulation Planning. Proceedings of the 13th Conference Towards Autonomous Robotic Systems (TAROS 2012). This paper won a best paper award.
• Catherine Harris and Richard Dearden. 2012. Contingency Planning for Long-Duration AUV Missions. IEEE Ocean Engineering Society Autonomous Underwater Vehicles 2012.
• Richard Dearden and Minlue Wang. 2012. Execution Monitoring to Improve Plans with Information Gathering. Proceedings of the 30th Workshop of the UK Planning And Scheduling Special Interest Group (PlanSIG 2012).
• Minlue Wang and Richard Dearden. 2012. Improving Point-Based POMDP Policies at Run-Time. Proceedings of the 30th Workshop of the UK Planning And Scheduling Special Interest Group (PlanSIG 2012).
• Richard Dearden and Neal Snooke, Eds. 2012. Proceedings of the Twenty-third International Workshop on Principles of Diagnosis.

2011

• Juhan Ernits and Richard Dearden. 2011. Towards Diagnosis Modulo Theories. In Proceedings of the 22nd International Workshop on the Principles of Diagnosis (DX-11).
• Juhan Ernits, Richard Dearden and Miles Pebody. 2011. Fault Diagnosis Challenge in a Flight-Class Autonomous Underwater Vehicle. In Proceedings of the 22nd International Workshop on the Principles of Diagnosis (DX-11).
• Marc Hanheide, Charles Gretton, Richard W Dearden, Nick A Hawes, Jeremy L Wyatt, Andrzej Pronobis, Alper Aydemir, Moritz Gobelbecker, Hendrik Zender. 2011. Exploiting Probabilistic Knowledge under Uncertain Sensing for Efficient Robot Behaviour. In Proceedings of the Twenty-second International Joint Conference on Artificial Intelligence (IJCAI-11).
• Moritz Gobelbecker, Charles O Gretton, Richard Dearden. 2011. A Switching Planner for Combined Task and Observation Planning. In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence (AAAI-11).
• Minlue Wang and Richard Dearden. 2011. Planning with State Uncertainty via Contingency Planning and Execution Monitoring. In Proceedings of the Ninth Symposium on Abstraction, Reformulation and Approximation (SARA 2011).
• Moritz Goebelbecker, Charles Gretton and Richard Dearden. 2011. A Switching Planner for Combined Task and Observation Planning (workshop version). Proceedings of the IJCAI'11 workshop on Decision Making in Partially Observable, Uncertain Worlds: Exploring Insights from Multiple Communities.
• Juhan Ernits, Charles Gretton and Richard Dearden. 2011. ayAlsoPlan: Bitstate pruning for state-based planning on massively parallel compute clusters. 2011 International Planning Competition: Description of Participating Planners. pp. 117-124. This paper describes the planner that took second prize in the parallel track of the 7th International Planning Competition, 2011.

2010

• Mohan Sridharan, Jeremy Wyatt and Richard Dearden. 2010. Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs. Artificial Intelligence Journal, 174(11), July 2010. pp. 704-725.
• Premysl Jiruska, Jozsef Csicsvari, Andrew D. Powell, John E. Fox, Wei-Chih Chang, Martin Vreugdenhil, Xiaoli Li, Milan Palus, Alejandro F. Bujan, Richard W. Dearden, and John G. R. Jefferys. 2010. High-Frequency Network Activity, Global Increase in Neuronal Activity, and Synchrony Expansion Precede Epileptic Seizures In Vitro. Journal of Neuroscience, Apr 2010; 30: 5690 - 5701
• Juhan Ernits, Richard Dearden, Miles Pebody, and James Guggenheim. 2010. Diagnosis of Autosub 6000 using Automatically Generated Software Models. In Proceedings of the 21st International Workshop on the Principles of Diagnosis (DX-10).
• Zeyn A Saigol, Richard W Dearden, Jeremy L Wyatt and Bramley J Murton. 2010. Belief Change Maximisation for Hydrothermal Vent Hunting using Occupancy Grids. In Proceedings of the 11th Conference Towards Autonomous Robotic Systems (TAROS 2010).
• Richard Dearden. 2010. Bayesian Fault Diagnosis: Common Approaches and Challenges. In Proceedings of the 2nd International Workshop on Cognitive Information Processing, (CIP 2010).
• Juhan Ernits, Richard Dearden and Miles Pebody. 2010. Automatic Fault Detection and Execution Monitoring for AUV Missions. In the IEEE Ocean Engineering Society Autonomous Underwater Vehicles 2010.
• Zeyn Saigol, Frederic Py, Kanna Rajan, Conor McGann, Jeremy Wyatt and Richard Dearden. 2010. Randomized Testing for Robotic Plan Execution for Autonomous Systems. In the IEEE Ocean Engineering Society Autonomous Underwater Vehicles 2010.
• J. G. Jefferys, P. Jiruska, W.-C. Chang, A. F. Bujan, J. Csicsvari, R. W. Dearden. High frequency network activity preceding epileptic seizures in vitro. Neuroscience 2010.

2009

• Nick Hawes, Jeremy L Wyatt, Aaron Sloman, Mohan Sridharan, Richard Dearden, Henrik Jacobsson, Geert-Jan Kruijff. 2009. Architecture and Representations. In Cognitive Systems: Final report of the CoSy project, H.I. Christensen, A. Sloman, G-J. Kruijff & J. Wyatt (Eds.), Springer Verlag, 2009.
• Minlue Wang and Richard Dearden. 2009. Detecting and Learning Unknown Fault States in Hybrid Diagnosis. In Proceedings of Diagnosis 2009 (DX-09).
• Zeyn A Saigol, Richard W Dearden, Jeremy L Wyatt and Bramley J Murton. 2009. Information-Lookahead Planning for AUV Mapping. In Proceedings of the 21st International Joint Conference on AI, July 2009.
• Michael Kneebone and Richard Dearden. 2009. Navigation Planning in Probabilistic Roadmaps with Uncertainty. In Proceedings of the 19th International Conference on Automated Planning and Scheduling (ICAPS09).
• Zeyn A. Saigol, Richard W. Dearden, Jeremy L. Wyatt and Bramley J. Murton. 2009. Information-Lookahead Planning for AUV Mapping. Technical report CSR-09-01, School of Computer Science, University of Birmingham. April 2009.
• Juhan Ernits, Richard Dearden and Miles Pebody. 2009. Formal Methods for Automated Diagnosis of Autosub 6000. In Proceedings of the NASA Formal Methods Symposium, 2009.

2008

• Mohan Sridharan, Jeremy Wyatt and Richard Dearden. HiPPo: Hierarchical POMDPs for Planning Information Processing and Sensing Actions on a Robot. In The International Conference on Automated Planning and Scheduling ICAPS 2008, Sydney, Australia, September 14-18, 2008. To Appear.
• Richard Dearden and Michael Kneebone. 2008. Uncertain Probabilistic Roadmaps with Observations (in Proceedings of the 27th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG 2008), pages 33-40, Edinburgh UK, December 2008).
• Mohan Sridharan, Richard Dearden and Jeremy Wyatt. 2008. E-HiPPo: Extensions to Hierarchical POMDP-based Visual Planning on a Robot. In The 27th PlanSIG Workshop. December 2008.

2007

• Richard W Dearden, Zeyn A Saigol, Jeremy L Wyatt and Bramley J Murton. 2007. Planning for AUVs: Dealing with a Continuous Partially-Observable Environment. In Workshop on Planning and Plan Execution for Real-World Systems, ICAPS 2007. September 2007.
• Mohan Sridharan, Nick Hawes, Jeremy Wyatt, Richard Dearden and Aaron Sloman. 2007. Planning Information Processing and Sensing Actions. Technical report COSY-TR-0706, University of Birmingham, School of Computer Science. November 2007.

2006

• Richard Dearden and Brenda Ng. Hybrid System Diagnosis with Parameter Estimation Using Particle Filters In ECAI 2006 Workshop on Planning, Learning and Monitoring with Uncertain and Dynamic Worlds. 2006.

2005

• Brenda Ng, Avi Pfeffer and Richard Dearden. Continuous Time Particle Filtering. Proceedings of the 19th International Joint Conference on AI, 2005.
• Richard Dearden. Planning and Learning in Hybrid Discrete-Continuous Models. In International Joint Conference on Artificial Intelligence 2005 Tutorial on Representation and Learning in Robots and Animals. 2005.

2004

• Sriram Narasimhan, Richard Dearden, and Emmanuel Benazera. Combining Particle Filters and Consistency-based Approaches for Monitoring and Diagnosis of Stochastic Hybrid Systems. Proceedings of the Workshop on the Principles of Diagnosis, 2004.
• Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, and Richard Washington. Dynamic Programming for Structured Continuous Markov Decision Problems. Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence (UAI-2004), 154--161. Banff, Canada, 2004.
• Frank Hutter, Brenda Ng, and Richard Dearden. 2004. Incremental Thin Junction Trees for Dynamic Bayesian Networks. Technical Report TR-AIDA-04-01, Intellectics Group, Darmstadt University of Technology.
• Richard Dearden, Frank Hutter, Reid Simmons, Sebastian Thrun, Vandi Verma, and Thomas Willeke. 2004. Real-time Fault Detection and Situational Awareness for Rovers: Report on the Mars Technology Program Task. In the Proceedings of IEEE Aerospace Conference, March 2004.
• Nicolas Meuleau , Richard Dearden and Rich Washington. Scaling up decision theoretic planning to planetary rover problems. In AAAI-04: Proceedings of the Workshop on Learning and Planning in Markov Processes: Advances and Challenges 2004.

2003

• Nando de Freitas, Richard Dearden, Frank Hutter, Ruben Morales-Menendez, Jim Mutch and David Poole. Diagnosis by a Waiter and a Mars Explorer. Proceedings of the IEEE Special Issue on Sequential State Estimation, 2003.
• Jeremy Frank and Richard Dearden. Scheduling in the Face of Uncertain Resource Consumption and Utility. Proceedings of Constraint Programming 2003.
• Frank Hutter and Richard Dearden. The Gaussian Particle Filter for Diagnosis of Non- Linear Systems. Proceedings of SafeProcess 2003. Also in Proceedings of Diagnosis 2003 (DX-03).
• Frank Hutter and Richard Dearden. Efficient On-Line Fault Diagnosis for Non-Linear Systems. In Proceedings of I-SAIRAS 2003.
• Ann Maria Bell, Richard Dearden, and Julie Levri. Measuring the Resilience of Advanced Life Support Systems. In Humans in Space 2003.
• Richard Dearden, Nicolas Meuleau, Sailesh Ramakrishnan, David Smith and Richard Washington. Incremental Contingency Planning. In Proc. of ICAPS Workshop on Planning under Uncertainty, 2003.

2002

• Richard Dearden and Dan Clancy. Particle Filters for Real-Time Diagnosis of Planetary Rovers. In Proceedings of the Thirteenth International Workshop on Principles of Diagnosis, 2002.
• T. Satish Kumar and Richard Dearden. The Oracular Constraints Method. In Proceedings of the 5th International Symposium on Abstraction, Reformulation and Approximation, 2002.
• John Bresina, Richard Dearden, Nicolas Meuleau, Sailesh Ramakrishnan, David Smith and Rich Washington. Planning under Continuous Time and Resource Uncertainty: A Challenge for AI. In Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence, 2002.
• Richard Dearden, Nicolas Meuleau, Sailesh Ramakrishnan, David Smith and Richard Washington. Contingency Planning for Planetary Rovers. In Proceedings of the 2002 NASA Planning and Scheduling Workshop, Oct 2002.
• John Bresina, Richard Dearden, Nicolas Meuleau, David Smith and Rich Washington. Planning under Continuous Time and Resource Uncertainty: A Challenge for AI. Presented at the AIPS Workshop on Planning for Temporal Domains, 2002.
• Richard Dearden, Jim Kurien, and Peter Robinson. Livingstone and the Remote Agent Experiment. Telematik Magazine, 2002.

2001

• Richard Dearden. Structured Prioritized Sweeping. Proceedings of the Eighteenth International Conference on Machine Learning, (2001).
• Vandi Verma, Reid Simmons, Dan Clancy and Richard Dearden. An Algorithm for Non-Parametric Fault Identification. Extended abstract presented at AAAI Spring Symposium on Robust Autonomy, 2001.
• Richard Dearden and Dan Clancy. Particle Filters for Real-Time Fault Detection in Planetary Rovers. European Space Agency Workshop on On-board Autonomy, October 2001.

2000

• Craig Boutilier, Richard Dearden and Moisés Goldszmidt. Stochastic Dynamic Programming with Factored Representations. Artificial Intelligence Journal 121 (2000) 49-107.
• Richard Dearden. Learning and Planning in Structured Worlds. Ph.D. Thesis, University of British Columbia, (2000).

1999

• Richard Dearden, Nir Friedman, and David Andre. Model based Bayesian Exploration. Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, (1999).
• Richard Dearden, Nir Friedman, and Stuart Russell. Bayesian Q-learning (Research Note). Canadian Artificial Intelligence Journal 44, (1999).

1998

• Richard Dearden, Nir Friedman, and Stuart Russell. Bayesian Q-Learning. Proceedings of the Fifteenth National Conference on Artificial Intelligence, (1998) 761-- 768.

1997

• Richard Dearden and Craig Boutilier. Abstraction and Approximate Decision-theoretic Planning. Artificial Intelligence Journal, 89 (1997) 219-283.
• Craig Boutilier and Richard Dearden. Correlated Action Effects in Decision Theoretic Regression. AAAI Workshop on Abstraction, Decisions, and Uncertainty, (1997).

1996

• Craig Boutilier and Richard Dearden. Approximating Value Trees in Structured Dynamic Programming. In Proceedings of the Thirteenth International Conference on Machine Learning, (1996) 54--62.

1995

• Craig Boutilier, Richard Dearden, and Moisés Goldszmidt. Exploiting Structure in Policy Construction. In Proceedings of the Fourteenth International Conference on Artificial Intelligence, (1995) 1104--1111.
• Craig Boutilier, Richard Dearden and Moisés Goldszmidt. Exploiting Structure in Policy Construction. AAAI Spring Symposium: Extending Theories of Action: Formal Theory and Practical Applications, (1995).

1994

• Craig Boutilier and Richard Dearden. Using Abstractions for Decision-Theoretic Planning with Time Constraints. In Proceedings of the Twelfth National Conference on Artificial Intelligence, (1994) 1016--1022.
• Richard Dearden and Craig Boutilier. Integrating Planning and Execution in Stochastic Domains. In Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, (1994) 162--169.
• Richard Dearden and Craig Boutilier. Integrating Planning and Execution in Stochastic Domains. AAAI Spring Symposium on Decision Theoretic Planning, (1994).
• Rena Upitis, Richard Dearden, Kori Inkpen, Joan Lawry, Maria Klawe, Kelly Davidson, Stephen Leroux, David Hsu, Nic Thorne, Kamran Sedighian, Robert Scharein and Ann Anderson. Weird-a-gons and Other Folded Objects: The Influence of Computer Animation, Paper Models and Cooperative Mediation on Spatial Understanding. UBC CS Technical Report TR-94-30 (1994).
• Richard Dearden. Abstraction and Search for Decision-theoretic Planning. Masters Thesis, University of British Columbia (1994).