Lydia Tapia

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Citations	2701	1765
h-index	24	17
i10-index	38	23

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Aleksandra FaustGoogle DeepMind, Mountain View, CAVerified email at google.com
Nancy M. AmatoAbel Bliss Professor and Head, Computer Science, University of IllinoisVerified email at illinois.edu
Hao-Tien (Lewis) ChiangGoogle DeepMindVerified email at google.com
Shawna ThomasDepartment of Computer Science and Engineering, Texas A&M UniversityVerified email at cse.tamu.edu
Rafael FierroProfessor of Electrical & Computer Engineering, University on New MexicoVerified email at unm.edu
Meeko OishiProfessor, Electrical and Computer Engineering, University of New MexicoVerified email at unm.edu
Patricio J. CruzAssociate Professor, DACI, Escuela Politécnica NacionalVerified email at epn.edu.ec
Kasra ManaviUniversity of New MexicoVerified email at cs.unm.edu
Ivana PalunkoAssociate Professor, Laboratory for Intelligent Autonomous Systems, University of DubrovnikVerified email at unidu.hr
Kendra Lang (Lesser)Verus ResearchVerified email at verusresearch.net
Marco MoralesITAMVerified email at itam.mx
Satomi SugayaUniversity of New MexicoVerified email at unm.edu
Roger PearceCenter for Applied Scientific Computing, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Anthony FrancisLogical RoboticsVerified email at logicalrobotics.com
James DavidsonThird Wave AutomationVerified email at thirdwave.ai
Baisravan HomChaudhuriAssistant ProfessorVerified email at lamar.edu
Jasmine HsuNew York University, Google DeepMindVerified email at google.com
Arnold Peter RuymgaartUniversity of Texas at AustinVerified email at ices.utexas.edu
Brandon RohrerLinkedInVerified email at linkedin.com
Arpit GargMaster's Student, University of New MexicoVerified email at cs.unm.edu

Lydia Tapia

Associate Professor of Computer Science, University of New Mexico

Verified email at cs.unm.edu - Homepage

Motion Planning Computational Biology Robotics


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Prm-rl: Long-range robotic navigation tasks by combining reinforcement learning and sampling-based planning A Faust, K Oslund, O Ramirez, A Francis, L Tapia, M Fiser, J Davidson 2018 IEEE international conference on robotics and automation (ICRA), 5113-5120, 2018	382	2018
Automated aerial suspended cargo delivery through reinforcement learning A Faust, I Palunko, P Cruz, R Fierro, L Tapia Artificial Intelligence 247, 381-398, 2017	188	2017
Learning swing-free trajectories for UAVs with a suspended load A Faust, I Palunko, P Cruz, R Fierro, L Tapia 2013 IEEE International Conference on Robotics and Automation, 4902-4909, 2013	179	2013
Hybrid dynamic moving obstacle avoidance using a stochastic reachable set-based potential field N Malone, HT Chiang, K Lesser, M Oishi, L Tapia IEEE Transactions on Robotics 33 (5), 1124-1138, 2017	176	2017
RL-RRT: Kinodynamic motion planning via learning reachability estimators from RL policies HTL Chiang, J Hsu, M Fiser, L Tapia, A Faust IEEE Robotics and Automation Letters 4 (4), 4298-4305, 2019	175	2019
Path-guided artificial potential fields with stochastic reachable sets for motion planning in highly dynamic environments HT Chiang, N Malone, K Lesser, M Oishi, L Tapia 2015 IEEE international conference on robotics and automation (ICRA), 2347-2354, 2015	160	2015
COLREG-RRT: An RRT-based COLREGS-compliant motion planner for surface vehicle navigation HTL Chiang, L Tapia IEEE Robotics and Automation Letters 3 (3), 2024-2031, 2018	159	2018
A machine learning approach for feature-sensitive motion planning M Morales, L Tapia, R Pearce, S Rodriguez, NM Amato Algorithmic Foundations of Robotics VI, 361-376, 2005	143	2005
Design and implementation of a virtual reality system and its application to training medical first responders S Stansfield, D Shawver, A Sobel, M Prasad, L Tapia Presence: Teleoperators & Virtual Environments 9 (6), 524-556, 2000	123	2000
A reinforcement learning approach towards autonomous suspended load manipulation using aerial robots I Palunko, A Faust, P Cruz, L Tapia, R Fierro 2013 IEEE international conference on robotics and automation, 4896-4901, 2013	109	2013
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
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
Reinforcement learning for balancing a flying inverted pendulum R Figueroa, A Faust, P Cruz, L Tapia, R Fierro Proceeding of the 11th World Congress on Intelligent Control and Automation …, 2014	47	2014
Stochastic reachability based motion planning for multiple moving obstacle avoidance N Malone, K Lesser, M Oishi, L Tapia Proceedings of the 17th international conference on Hybrid systems …, 2014	38	2014
A motion planning approach to studying molecular motions L Tapia, S Thomas, NM Amato	38	2010
Redundant component and intelligent computerized control system for multi-rotor VTOL aircraft AP Ruymgaart, L Tapia, A Faust, R Fierro US Patent 9,828,107, 2017	37	2017
Aggressive moving obstacle avoidance using a stochastic reachable set based potential field HT Chiang, N Malone, K Lesser, M Oishi, L Tapia Algorithmic Foundations of Robotics XI: Selected Contributions of the …, 2015	33	2015
Continuous action reinforcement learning for control-affine systems with unknown dynamics A Faust, P Ruymgaart, M Salman, R Fierro, L Tapia IEEE/CAA Journal of automatica Sinica 1 (3), 323-336, 2014	32	2014
Kinetics analysis methods for approximate folding landscapes L Tapia, X Tang, S Thomas, NM Amato Bioinformatics 23 (13), i539-i548, 2007	32	2007
Simulating protein motions with rigidity analysis S Thomas, X Tang, L Tapia, NM Amato Research in Computational Molecular Biology: 10th Annual International …, 2006	31	2006

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