| A general framework for sampling on the medial axis of the free space JM Lien, SL Thomas, NM Amato 2003 IEEE International Conference on Robotics and Automation (Cat. No …, 2003 | 122 | 2003 |
| Measurement of the production cross section and the top quark mass in the dilepton channel in collisions at TeV S Chatrchyan, V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, ... JHEP 7 (arXiv: 1105.5661), 049, 2011 | 103 | 2011 |
| Customizing PRM roadmaps at query time G Song, S Miller, NM Amato Proceedings 2001 ICRA. IEEE International Conference on Robotics and …, 2001 | 98 | 2001 |
| Resampl: A region-sensitive adaptive motion planner S Rodriguez, S Thomas, R Pearce, NM Amato Algorithmic foundation of robotics VII: selected contributions of the …, 2008 | 93 | 2008 |
| UOBPRM: A uniformly distributed obstacle-based PRM HY Yeh, S Thomas, D Eppstein, NM Amato 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 83 | 2012 |
| Simulating protein motions with rigidity analysis S Thomas, X Tang, L Tapia, NM Amato Journal of Computational Biology 14 (6), 839-855, 2007 | 83 | 2007 |
| Using motion planning to study RNA folding kinetics X Tang, B Kirkpatrick, S Thomas, G Song, NM Amato Proceedings of the eighth annual international conference on Research in …, 2004 | 78 | 2004 |
| Simulating RNA folding kinetics on approximated energy landscapes X Tang, S Thomas, L Tapia, DP Giedroc, NM Amato Journal of molecular biology 381 (4), 1055-1067, 2008 | 69 | 2008 |
| Protein folding by motion planning S Thomas, G Song, NM Amato Physical biology 2 (4), S148, 2005 | 67 | 2005 |
| Multi-robot task and motion planning with subtask dependencies J Motes, R Sandström, H Lee, S Thomas, NM Amato IEEE Robotics and Automation Letters 5 (2), 3338-3345, 2020 | 66 | 2020 |
| MARRT: Medial axis biased rapidly-exploring random trees J Denny, E Greco, S Thomas, NM Amato 2014 IEEE International Conference on Robotics and Automation (ICRA), 90-97, 2014 | 65 | 2014 |
| A path planning-based study of protein folding with a case study of hairpin formation in protein G and L G Song, S Thomas, KA Dill, JM Scholtz, NM AMATC Biocomputing 2003, 240-251, 2002 | 50 | 2002 |
| A scalable distributed RRT for motion planning SA Jacobs, N Stradford, C Rodriguez, S Thomas, NM Amato 2013 IEEE International Conference on Robotics and Automation, 5088-5095, 2013 | 49 | 2013 |
| Measurement of the top-quark mass in events with lepton+jets final states in pp collisions at TeV S Chatrchyan, V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, ... Journal of High Energy Physics 2012 (12), 1-37, 2012 | 48 | 2012 |
| Biasing samplers to improve motion planning performance S Thomas, M Morales, X Tang, NM Amato Proceedings 2007 IEEE international conference on robotics and automation …, 2007 | 45 | 2007 |
| A scalable method for parallelizing sampling-based motion planning algorithms SA Jacobs, K Manavi, J Burgos, J Denny, S Thomas, NM Amato 2012 IEEE International Conference on Robotics and Automation, 2529-2536, 2012 | 41 | 2012 |
| A motion planning approach to studying molecular motions L Tapia, S Thomas, NM Amato | 38 | 2010 |
| Reachable distance space: Efficient sampling-based planning for spatially constrained systems X Tang, S Thomas, P Coleman, NM Amato The international journal of robotics research 29 (7), 916-934, 2010 | 36 | 2010 |
| Automated process for intermediate orthodontic digital setup generation AR Cunliffe, BD Zimmer, JD Gandrud, G Somasundaram, A Sangari, ... | 34 | 2022 |
| Sampling-based motion planning with reachable volumes: Theoretical foundations T McMahon, S Thomas, NM Amato 2014 IEEE International Conference on Robotics and Automation (ICRA), 6514-6521, 2014 | 34 | 2014 |
Nancy M. AmatoAbel Bliss Professor and Head, Computer Science, University of IllinoisVerified email at illinois.edu
