2014

  1. Ryan Luna, Morteza Lahijanian, Mark Moll, and Lydia E. Kavraki. Asymptotically Optimal Stochastic Motion Planning with Temporal Goals. In Workshop on the Algorithmic Foundations of Robotics, 2014.
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  2. Ryan Luna, Morteza Lahijanian, Mark Moll, and Lydia E. Kavraki. Optimal and Efficient Stochastic Motion Planning in Partially-Known Environments. In 28th AAAI Conference on Artificial Intelligence (AAAI-14), pp. 2549–2555, Québec City, Canada, July 2014.
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  3. Ryan Luna, Morteza Lahijanian, Mark Moll, and Lydia E. Kavraki. Fast Stochastic Motion Planning with Optimality Guarantees using Local Policy Reconfiguration. In IEEE Intl. Conf. on Robotics and Automation, pp. 3013–3019, 2014.
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  4. Srinivas Nedunuri, Sailesh Prabhu, Mark Moll, Swarat Chaudhuri, and Lydia E. Kavraki. SMT-Based Synthesis of Integrated Task and Motion Plans from Plan Outlines. In IEEE Intl. Conf. on Robotics and Automation, pp. 655–662, 2014.
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  5. Zhaowen Wang, Zhangyang Wang, Mark Moll, Po-Sen Huang, Devin Grady, Nasser Nasrabadi, Thomas Huang, Lydia Kavraki, and Mark Hasegawa-Johnson. Active Planning, Sensing and Recognition Using a Resource-Constrained Discriminant POMDP. In IEEE/ISPRS Workshop on Multi-Sensor Fusion for Outdoor Dynamic Scene Understanding at CVPR, 2014.
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2013

  1. Drew H. Bryant, Mark Moll, Paul W. Finn, and Lydia E. Kavraki. Combinatorial clustering of residue position subsets predicts inhibitor affinity across the human kinome. PLOS Computational Biology, 9(6):e1003087, June 2013.
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  2. Jeffrey Chyan, Mark Moll, and Lydia E. Kavraki. Improving the Prediction of Kinase Binding Affinity Using Homology Models. In Computational Structural Bioinformatics Workshop at the ACM Conf. on Bioinf., Comp. Bio. and Biomedical Informatics, pp. 741–748, Washington, DC, September 2013.
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  3. Bryant Gipson, Mark Moll, and Lydia E. Kavraki. SIMS: A hybrid method for rapid conformational analysis. PLOS ONE, 8(7):e68826, July 2013.
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  4. Bryant Gipson, Mark Moll, and Lydia E. Kavraki. Resolution Independent Density Estimation for Motion Planning in High-Dimensional Spaces. In IEEE Intl. Conf. on Robotics and Automation, pp. 2429–2435, 2013.
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  5. Devin K. Grady, Mark Moll, and Lydia E. Kavraki. Combining a POMDP Abstraction with Replanning to Solve Complex, Position-Dependent Sensing Tasks. In AAAI Fall Symposium, Arlington, VA, November 2013.
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  6. Devin K. Grady, Mark Moll, and Lydia E. Kavraki. Automated Model Approximation for Robotic Navigation with POMDPs. In IEEE Intl. Conf. on Robotics and Automation, pp. 78–84, 2013.
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  7. Ryan Luna, Ioan A. Șucan, Mark Moll, and Lydia E. Kavraki. Anytime Solution Optimization for Sampling-Based Motion Planning. In IEEE Intl. Conf. on Robotics and Automation, pp. 5053–5059, 2013.
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  8. Mark Moll, Janice Bordeaux, and Lydia E. Kavraki. Software for Project-Based Learning of Robot Motion Planning. Computer Science Education, Special Issue on Robotics in CS Education, 23(4):332–348, 2013.
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2012

  1. Kostas E. Bekris, Devin K. Grady, Mark Moll, and Lydia E. Kavraki. Safe Distributed Motion Coordination for Second-Order Systems with Different Planning Cycles. Intl. J. of Robotics Research, 31(2):129–149, February 2012.
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  2. Devin K. Grady, Mark Moll, Chinmay Hegde, Aswin C. Sankaranarayanan, Richard G. Baraniuk, and Lydia E. Kavraki. Multi-Objective Sensor-Based Replanning for a Car-Like Robot. In IEEE Intl. Symp. on Safety, Security, and Rescue Robotics, 2012.
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  3. Devin K. Grady, Mark Moll, Chinmay Hegde, Aswin C. Sankaranarayanan, Richard G. Baraniuk, and Lydia E. Kavraki. Multi-Robot Target Verification with Reachability Constraints. In IEEE Intl. Symp. on Safety, Security, and Rescue Robotics, 2012.
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  4. Ioan A. Șucan, Mark Moll, and Lydia E. Kavraki. The Open Motion Planning Library. IEEE Robotics & Automation Magazine, 19(4):72–82, December 2012. http://ompl.kavrakilab.org
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2011

  1. Devin K. Grady, Mark Moll, Chinmay Hegde, Aswin C. Sankaranarayanan, Richard G. Baraniuk, and Lydia E. Kavraki. Look Before You Leap: Predictive Sensing and Opportunistic Navigation. In Workshop on Progress and Open Problems in Motion Planning at the IEEE/RSJ Conf. on Intelligent Robots and Systems, 2011.
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  2. Mark Moll, Ioan A. Șucan, Janice Bordeaux, and Lydia E. Kavraki. Teaching Motion Planning Concepts to Undergraduate Students. In IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), 2011.
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  3. Mark Moll, Drew H. Bryant, and Lydia E. Kavraki. The LabelHash Server and Tools for Substructure-Based Functional Annotation. Bioinformatics, 27(15):2161–2162, June 2011.
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2010

  1. Drew H. Bryant, Mark Moll, Brian Y. Chen, Viacheslav Y. Fofanov, and Lydia E. Kavraki. Analysis of substructural variation in families of enzymatic proteins with applications to protein function prediction. BMC Bioinformatics, 11(242), May 2010.
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  2. Nurit Haspel, Mark Moll, Matthew L. Baker, Wah Chiu, and Lydia E. Kavraki. Tracing Conformational Changes in Proteins. BMC Structural Biology, 10(Suppl. 1):S1, 2010.
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  3. Mark Moll, Drew H. Bryant, and Lydia E. Kavraki. The LabelHash Algorithm for Substructure Matching. BMC Bioinformatics, 11(555), November 2010.
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  4. Mark Moll, Janice Bordeaux, and Lydia E. Kavraki. Teaching Robot Motion Planning. Computers in Education (Special Issue on Novel Approaches to Robotics Education), 20(3):50–59, 2010.
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2009

  1. Nurit Haspel, Mark Moll, Matthew L. Baker, Wah Chiu, and Lydia E. Kavraki. Tracing Conformational Changes in Proteins. In IEEE Intl. Conf. on Bioinformatics and Biomedicine Workshops (BIBMW), pp. 120–127, Washington, DC, November 2009.
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2008

  1. Viacheslav Y. Fofanov, Brian Y. Chen, Drew H. Bryant, Mark Moll, Olivier Lichtarge, Lydia E. Kavraki, and Marek Kimmel. A statistical model to correct systematic bias introduced by algorithmic thresholds in protein structural comparison algorithms. In IEEE Intl. Conf. on Bioinformatics and Biomedicine Workshops (BIBMW), pp. 1–8, 2008.
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  2. Mark Moll and Lydia E. Kavraki. LabelHash: A Flexible and Extensible Method for Matching Structural Motifs. In Automated Function Prediction / BioSapiens Meeting (AFP-BioSapiens), Toronto, Canada, 2008. Available from Nature Precedings
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  3. Mark Moll and Lydia E. Kavraki. Matching of Structural Motifs Using Hashing on Residue Labels and Geometric Filtering for Protein Function Prediction. In The Seventh Annual International Conference on Computational Systems Bioinformatics (CSB2008), pp. 157–168, 2008.
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  4. Mark Moll and Daniela Rus. Special Issue on Self-Reconfiguring Modular Robots (Guest Editorial). Intl. J. of Robotics Research, 27(3/4):277–278, March/April 2008.
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2007

  1. Brian Y. Chen, Drew H. Bryant, Joseph H. Bylund, Amanda E. Cruess, David M. Kristensen, Viacheslav Y. Fofanov, Mark Moll, Marek Kimmel, Olivier Lichtarge, and Lydia E. Kavraki. Representations of Structural Motifs for Protein Function Prediction. In 15th Annual Intl. Conf. on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conf. on Comp. Bio. (ECCB), Vienna, Austria, 2007.
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  2. Brian Y. Chen, Drew H. Bryant, Viacheslav Y. Fofanov, David M. Kristensen, Mark Moll, Marek Kimmel, Olivier Lichtarge, and Lydia E. Kavraki. Geometry-inspired Optimization Methods for Structural Motifs for Protein Function Prediction. In Automated Function Prediction Meeting (AFP), Vienna, Austria, 2007.
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  3. Mark Moll, David Schwarz, and Lydia E. Kavraki. Roadmap Methods for Protein Folding. In Mohammed Zaki and Chris Bystroff, editors, Protein Structure Prediction: Methods and Protocols, Methods In Molecular Biology, Humana Press, October 2007. Second edition.
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  4. Wei-Min Shen, Behnam Salemi, Mark Moll, Chi Ho Chiu, Jacob Everist, Feili Hou, Nadeesha Ranasinghe, and Michael Rubenstein. Multifunctional Behaviors of Reconfigurable SuperBot Modules. In Proc. 2007 IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, 2007. Video
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  5. Mark Yim, Wei-Min Shen, Benham Salemi, Daniela Rus, Mark Moll, Hod Lipson, and Eric Klavins. Modular Self-reconfigurable Robot Systems: Challenges and Opportunities for the Future. IEEE Robotics & Automation Magazine, 14(1):43–52, March 2007.
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2006

  1. Payel Das, Mark Moll, Hernan Stamati, Lydia E. Kavraki, and Cecilia Clementi. Low-dimensional, free-energy landscapes of protein-folding reactions by nonlinear dimensionality reduction. Proc. Natl. Acad. of Science USA, 103(26):9885–9890, June 2006.
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  2. Mark Moll, Peter Will, Maks Krivokon, and Wei-Min Shen. Distributed Control of the Center of Mass of a Modular Robot. In Proc. 2006 IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, pp. 4710–4715, Beijing, China, October 2006.
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  3. Mark Moll and Lydia E. Kavraki. Path Planning for Deformable Linear Objects. IEEE Trans. on Robotics, 22(4):625–636, August 2006.
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  4. Behnam Salemi, Mark Moll, and Wei-Min Shen. SUPERBOT: A Deployable, Multi-Functional, and Modular Self-Reconfigurable Robotic System. In Proc. 2006 IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, pp. 3636–3641, Beijing, China, October 2006.
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2005

  1. Mark Moll and Lydia E. Kavraki. Path Planning for Variable Resolution Minimal-Energy Curves of Constant Length. In Proc. 2005 IEEE Intl. Conf. on Robotics and Automation, pp. 2142–2147, 2005.
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2004

  1. Mark Moll and Michael A. Erdmann. Reconstructing the Shape and Motion of Unknown Objects with Active Tactile Sensors. In Jean-Daniel Boissonnat, Joel Burdick, Ken Goldberg, and Seth Hutchinson, editors, Algorithmic Foundations of Robotics V, Springer Tracts in Advanced Robotics, pp. 293–310, Springer Verlag, 2004.
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  2. Mark Moll and Lydia E. Kavraki. Path Planning for Minimal Energy Curves of Constant Length. In Proc. 2004 IEEE Intl. Conf. on Robotics and Automation, pp. 2826–2831, 2004.
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  3. Mark Moll, David Schwarz, Allison Heath, and Lydia E. Kavraki. On Flexible Docking Using Expansive Search. Technical Report 04-443, Rice University, 2004.
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2002

  1. Mark Moll and Michael A. Erdmann. Dynamic Shape Reconstruction Using Tactile Sensors. In Proc. 2002 IEEE Intl. Conf. on Robotics and Automation, pp. 1636–1641, 2002.
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  2. Mark Moll and Michael A. Erdmann. Manipulation of Pose Distributions. Intl. J. of Robotics Research, 21(3):277–292, March 2002.
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  3. Mark Moll, Ken Goldberg, Michael A. Erdmann, and Ron Fearing. Aligning Parts for Micro Assemblies. Assembly Automation, 22(1):46–54, February 2002.
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  4. Mark Moll, Ken Goldberg, Michael A. Erdmann, and Ron Fearing. Orienting Micro-Scale Parts with Squeeze and Roll Primitives. In Proc. 2002 IEEE Intl. Conf. on Robotics and Automation, pp. 1931–1936, 2002.
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  5. Mark Moll. Shape Reconstruction Using Active Tactile Sensors. Ph.D. Thesis, Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, 2002.
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2001

  1. Mark Moll and Michael A. Erdmann. Manipulation of Pose Distributions. In Bruce R. Donald, Kevin M. Lynch, and Daniela Rus, editors, Algorithmic and Computational Robotics: New Directions, pp. 127–141, A. K. Peters, 2001.
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  2. Mark Moll and Michael A. Erdmann. Reconstructing Shape from Motion Using Tactile Sensors. In Proc. 2001 IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, pp. 691–700, Maui, HI, October/November 2001.
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  3. Mark Moll and Michael A. Erdmann. Shape Reconstruction in a Planar Dynamic Environment. Technical Report CMU-CS-01-107, Dept. of Computer Science, Carnegie Mellon University, 2001.
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2000

  1. Mark Moll and Michael A. Erdmann. Uncertainty Reduction Using Dynamics. In Proc. 2000 IEEE Intl. Conf. on Robotics and Automation, pp. 3673–3680, San Francisco, California, 2000.
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1997

  1. Mark Moll and Risto Miikkulainen. Convergence-Zone Episodic Memory: Analysis and Simulations. Neural Networks, 10(6):1017–1036, 1997.
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1996

  1. Mark Moll. Mapping Science: Methods and Tools for the Automatic Creation of Semantic Maps of Large Corpora. Report CWTS 96-06, Centre for Science and Technology Studies (CWTS), 1996. Research report to the Netherlands Organization for Scientific Research (NWO), Foundation for Economic and Socio-Cultural Sciences (ESR)
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  2. Hugo Ter Doest, Mark Moll, René Bos, Stan Van de Burgt, and Anton Nijholt. Language Engineering in Dialogue Systems. Memoranda Informatica 96-2, Department of Computer Science, University of Twente, 1996.
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  3. Hugo Ter Doest, Mark Moll, René Bos, Stan Van de Burgt, and Anton Nijholt. Language Engineering in Dialogue Systems. In Computers in Engineering Symposium, pp. 68–79, Houston, TX, 1996.
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1995

  1. Mark Moll. Head-corner Parsing Using Typed Feature Structures. Master's Thesis, Department of Computer Science, University of Twente,1995.
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  2. Rieks Op den Akker, Hugo Ter Doest, Mark Moll, and Anton Nijholt. Parsing in Dialogue Systems using Typed Feature Structures. In Proceedings of the International Workshop on Parsing Technologies, Prague/Karlovy Vary, Czech Republic, 1995.
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  3. Rieks Op den Akker, Hugo Ter Doest, Mark Moll, and Anton Nijholt. Parsing in Dialogue Systems using Typed Feature Structures. Memoranda Informatica 95-25, Department of Computer Science, University of Twente, 1995.
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1994

  1. Mark Moll, Risto Miikkulainen, and Jonathan Abbey. The Capacity of Convergence-Zone Episodic Memory. In Proc. 12th Natl. Conf. on Artificial Intelligence (AAAI-94), pp. 68–73, MIT Press, Cambridge, MA, 1994.
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