| The open motion planning library IA Sucan, M Moll, LE Kavraki IEEE Robotics & Automation Magazine 19 (4), 72-82, 2012 | 1595 | 2012 |
| Modular self-reconfigurable robot systems [grand challenges of robotics] M Yim, WM Shen, B Salemi, D Rus, M Moll, H Lipson, E Klavins, ... IEEE Robotics & Automation Magazine 14 (1), 43-52, 2007 | 1335* | 2007 |
| SUPERBOT: A deployable, multi-functional, and modular self-reconfigurable robotic system B Salemi, M Moll, WM Shen 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006 | 436 | 2006 |
| Low-dimensional, free-energy landscapes of protein-folding reactions by nonlinear dimensionality reduction P Das, M Moll, H Stamati, LE Kavraki, C Clementi Proceedings of the National Academy of Sciences 103 (26), 9885-9890, 2006 | 352 | 2006 |
| Path planning for deformable linear objects M Moll, LE Kavraki IEEE Transactions on Robotics 22 (4), 625-636, 2006 | 229 | 2006 |
| Sampling-based methods for motion planning with constraints Z Kingston, M Moll, LE Kavraki Annual review of control, robotics, and autonomous systems 1, 159-185, 2018 | 131 | 2018 |
| Benchmarking motion planning algorithms: An extensible infrastructure for analysis and visualization M Moll, IA Sucan, LE Kavraki IEEE Robotics & Automation Magazine 22 (3), 96-102, 2015 | 121 | 2015 |
| SMT-based synthesis of integrated task and motion plans from plan outlines S Nedunuri, S Prabhu, M Moll, S Chaudhuri, LE Kavraki 2014 IEEE International Conference on Robotics and Automation (ICRA), 655-662, 2014 | 102 | 2014 |
| DINC 2.0: a new protein–peptide docking webserver using an incremental approach DA Antunes, M Moll, D Devaurs, KR Jackson, G Lizée, LE Kavraki Cancer research 77 (21), e55-e57, 2017 | 97 | 2017 |
| Convergence-zone episodic memory: Analysis and simulations M Moll, R Miikkulainen Neural Networks 10 (6), 1017-1036, 1997 | 88 | 1997 |
| Tracing conformational changes in proteins N Haspel, M Moll, ML Baker, W Chiu, LE Kavraki BMC structural biology 10, 1-11, 2010 | 87 | 2010 |
| Path planning for minimal energy curves of constant length M Moll, LE Kavraki IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004 | 79 | 2004 |
| Anytime solution optimization for sampling-based motion planning R Luna, IA Şucan, M Moll, LE Kavraki 2013 IEEE international conference on robotics and automation, 5068-5074, 2013 | 74 | 2013 |
| Randomized physics-based motion planning for grasping in cluttered and uncertain environments M Moll, L Kavraki, J Rosell IEEE Robotics and Automation Letters 3 (2), 712-719, 2017 | 73 | 2017 |
| Experience-based planning with sparse roadmap spanners D Coleman, IA Şucan, M Moll, K Okada, N Correll 2015 IEEE International Conference on Robotics and Automation (ICRA), 900-905, 2015 | 70 | 2015 |
| Manipulation of pose distributions M Moll, MA Erdmann The International Journal of Robotics Research 21 (3), 277-292, 2002 | 70 | 2002 |
| Exploring implicit spaces for constrained sampling-based planning Z Kingston, M Moll, LE Kavraki The International Journal of Robotics Research 38 (10-11), 1151-1178, 2019 | 68 | 2019 |
| Safe distributed motion coordination for second-order systems with different planning cycles KE Bekris, DK Grady, M Moll, LE Kavraki The International Journal of Robotics Research 31 (2), 129-150, 2012 | 61 | 2012 |
| General prediction of peptide-MHC binding modes using incremental docking: a proof of concept DA Antunes, D Devaurs, M Moll, G Lizée, LE Kavraki Scientific reports 8 (1), 4327, 2018 | 44 | 2018 |
| Resolution independent density estimation for motion planning in high-dimensional spaces B Gipson, M Moll, LE Kavraki 2013 IEEE international conference on robotics and automation, 2437-2443, 2013 | 43 | 2013 |
Lydia E. KavrakiRice UniversityVerified email at rice.edu
