Follow
Lydia Tapia
Lydia Tapia
Associate Professor of Computer Science, University of New Mexico
Verified email at cs.unm.edu - Homepage
Title
Cited by
Cited by
Year
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
2482018
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
1522013
Automated aerial suspended cargo delivery through reinforcement learning
A Faust, I Palunko, P Cruz, R Fierro, L Tapia
Artificial Intelligence 247, 381-398, 2017
1362017
A machine learning approach for feature-sensitive motion planning
M Morales, L Tapia, R Pearce, S Rodriguez, NM Amato
Algorithmic Foundations of Robotics VI 17, 361-376, 2005
1362005
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
1252015
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
1132017
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
1082000
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
952019
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
932018
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
892013
Simulating protein motions with rigidity analysis
S Thomas, X Tang, L Tapia, NM Amato
Journal of Computational Biology 14 (6), 839-855, 2007
862007
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
652008
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 Automationá…, 2014
392014
A motion planning approach to studying molecular motions
L Tapia, S Thomas, NM Amato
382010
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 systemsá…, 2014
342014
Kinetics analysis methods for approximate folding landscapes
L Tapia, X Tang, S Thomas, NM Amato
Bioinformatics 23 (13), i539-i548, 2007
332007
Simulating protein motions with rigidity analysis
S Thomas, X Tang, L Tapia, NM Amato
Research in Computational Molecular Biology: 10th Annual Internationalá…, 2006
312006
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
292014
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 theá…, 2015
282015
An unsupervised adaptive strategy for constructing probabilistic roadmaps
L Tapia, S Thomas, B Boyd, NM Amato
2009 IEEE International Conference on Robotics and Automation, 4037-4044, 2009
242009
The system can't perform the operation now. Try again later.
Articles 1–20