Lydia Tapia

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Citations	2268	1528
h-index	22	17
i10-index	37	25

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Aleksandra FaustGoogle Brain, 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) ChiangWaymo ResearchVerified 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. CruzAssistant 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
Marco MoralesUniversity of Illinois Urbana-Champaign, ITAMVerified email at illinois.edu
Kendra Lang (Lesser)Verus ResearchVerified email at verusresearch.net
Satomi SugayaUniversity of New MexicoVerified email at unm.edu
Roger PearceCenter for Applied Scientific Computing, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Anthony FrancisRobotics at GoogleVerified email at dresan.com
James DavidsonThird Wave AutomationVerified email at thirdwave.ai
Baisravan HomChaudhuriAssistant ProfessorVerified email at iit.edu
Arnold Peter RuymgaartUniversity of Texas at AustinVerified email at ices.utexas.edu
Brandon RohrerLinkedInVerified email at linkedin.com
Jasmine HsuNew York University, GoogleVerified email at google.com
Sharon StansfieldIthaca CollegeVerified email at ithaca.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	284	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	157	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	157	2013
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	141	2005
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	138	2015
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	137	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	117	2019
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	114	2000
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	108	2018
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	96	2013
Simulating protein motions with rigidity analysis S Thomas, X Tang, L Tapia, NM Amato Journal of Computational Biology 14 (6), 839-855, 2007	86	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	66	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	43	2014
A motion planning approach to studying molecular motions L Tapia, S Thomas, NM Amato	38	2010
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	35	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	32	2006
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	29	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	29	2014
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	26	2017

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