Year |
Citation |
Score |
2017 |
Malone N, Chiang H, Lesser K, Oishi M, Tapia L. Hybrid Dynamic Moving Obstacle Avoidance Using a Stochastic Reachable Set-Based Potential Field Ieee Transactions On Robotics. 33: 1124-1138. DOI: 10.1109/Tro.2017.2705034 |
0.339 |
|
2016 |
Hoard B, Jacobson B, Manavi K, Tapia L. Extending rule-based methods to model molecular geometry and 3D model resolution. Bmc Systems Biology. 10: 48. PMID 27490268 DOI: 10.1186/S12918-016-0294-Z |
0.309 |
|
2016 |
Manavi K, Jacobson B, Hoard B, Tapia L. Influence of model resolution on geometric simulations of antibody aggregation Robotica. 34: 1754-1776. DOI: 10.1017/S0263574716000199 |
0.322 |
|
2015 |
Jacobson BD, Manavi K, Atlas SR, Tapia L. Impact of Structural and Dynamical Complexity on Kinesin Kinetics Biophysical Journal. 108: 138a-139a. DOI: 10.1016/J.Bpj.2014.11.766 |
0.372 |
|
2013 |
Faust A, Palunko I, Cruz P, Fierro R, Tapia L. Automated aerial suspended cargo delivery through reinforcement learning Artificial Intelligence. DOI: 10.1016/J.Artint.2014.11.009 |
0.303 |
|
2012 |
McMahon T, Jacobs S, Boyd B, Tapia L, Amato NM. Local randomization in neighbor selection improves PRM roadmap quality Ieee International Conference On Intelligent Robots and Systems. 4441-4448. DOI: 10.1109/IROS.2012.6386061 |
0.473 |
|
2010 |
Amato NM, Tapia L, Thomas S. A Motion Planning Approach to Studying Molecular Motions Communications in Information and Systems. 10: 53-68. DOI: 10.4310/Cis.2010.V10.N1.A4 |
0.686 |
|
2009 |
Tapia L, Thomas S, Boyd B, Amato NM. An unsupervised adaptive strategy for constructing probabilistic roadmaps Proceedings - Ieee International Conference On Robotics and Automation. 4037-4044. DOI: 10.1109/ROBOT.2009.5152544 |
0.507 |
|
2009 |
Tang X, Thomas S, Tapia L, Giedroc DP, Amato NM. Erratum to “Simulating RNA Folding Kinetics on Approximated Energy Landscapes” [J. Mol. Biol. 381 (2008) 1055–1067] Journal of Molecular Biology. 387: 522. DOI: 10.1016/J.Jmb.2008.08.064 |
0.64 |
|
2008 |
Tang X, Thomas S, Tapia L, Giedroc DP, Amato NM. Simulating RNA folding kinetics on approximated energy landscapes. Journal of Molecular Biology. 381: 1055-67. PMID 18639245 DOI: 10.1016/J.Jmb.2008.02.007 |
0.69 |
|
2007 |
Thomas S, Tang X, Tapia L, Amato NM. Simulating protein motions with rigidity analysis. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 14: 839-55. PMID 17691897 DOI: 10.1089/Cmb.2007.R019 |
0.682 |
|
2007 |
Tapia L, Tang X, Thomas S, Amato NM. Kinetics analysis methods for approximate folding landscapes. Bioinformatics (Oxford, England). 23: i539-48. PMID 17646341 DOI: 10.1093/bioinformatics/btm199 |
0.687 |
|
2007 |
Tang X, Thomas S, Tapia L, Amato NM. Tools for simulating and analyzing RNA folding kinetics Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4453: 268-282. |
0.665 |
|
2005 |
Morales MAA, Tapia L, Pearce R, Rodriguez S, Amato NM. C-space subdivision and integration in feature-sensitive motion planning Proceedings - Ieee International Conference On Robotics and Automation. 2005: 3114-3119. DOI: 10.1109/ROBOT.2005.1570589 |
0.516 |
|
2005 |
Morales M, Tapia L, Pearce R, Rodriguez S, Amato NM. A machine learning approach for feature-sensitive motion planning Springer Tracts in Advanced Robotics. 17: 361-376. |
0.527 |
|
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