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2020 – today
- 2023
[c40]Yazied A. Hasan, Ariana M. Villegas-Suarez, Evan C. Carter, Aleksandra Faust, Lydia Tapia:
Enhancing Value Estimation Policies by Post-Hoc Symmetry Exploitation in Motion Planning Tasks. IROS 2023: 4812-4819- [c39]Lin Liu
, Torin Adamson, Lydia Tapia, Bruna Jacobson:
Player Exploration Patterns in Interactive Molecular Docking with Electrostatic Visual Cues. MIG 2023: 8:1-8:9 - [c38]John E. G. Baxter, Torin Adamson, Yazied A. Hasan, Mohammad R. Yousefi, Lidia Obregon, Evan C. Carter, Lydia Tapia:
Virtual Joystick Control Sensitivity and Usage Patterns in a Large-Scale Touchscreen-Based Mobile Game Study. MIG 2023: 10:1-10:6 - [c37]Liz Digioia, Torin Adamson, Yazied A. Hasan, Lidia Obregon, Evan C. Carter, Lydia Tapia:
Navigating With a Defensive Agent: Role Switching for Human Automation Collaboration. MIG 2023: 25:1-25:7 - 2022
- [c36]Yazied A. Hasan, John E. G. Baxter, César A. Salcedo, Elena Delgado, Lydia Tapia:
Flock Navigation by Coordinated Shepherds via Reinforcement Learning. WAFR 2022: 454-469 - 2021
- [j21]Hao-Tien Lewis Chiang, John E. G. Baxter, Satomi Sugaya, Mohammad R. Yousefi, Aleksandra Faust, Lydia Tapia:
Fast deep swept volume estimator. Int. J. Robotics Res. 40(10-11) (2021) - [j20]Marco Morales, Lydia Tapia, Gildardo Sánchez-Ante, Seth Hutchinson:
Special Issue on the Thirteenth Workshop on the Algorithmic Foundations of Robotics (WAFR) 2018. Int. J. Robotics Res. 40(10-11) (2021) - [j19]Laura Graesser, Aleksandra Faust, Hadas Kress-Gazit, Lydia Tapia, Risa Ulinski:
Gender Diversity of Conference Leadership [Women in Engineering]. IEEE Robotics Autom. Mag. 28(2): 126-130 (2021) - [j18]Lydia Tapia:
Retrospective on a Watershed Moment for IEEE Robotics and Automation Society Gender Diversity [Women in Engineering]. IEEE Robotics Autom. Mag. 28(3): 163-167 (2021) - [j17]Lydia Tapia, Marco Morales, Seth Hutchinson, Gildardo Sánchez-Ante:
Guest Editorial Special Issue on the 2018 Workshop on the Algorithmic Foundations of Robotics (WAFR). IEEE Trans Autom. Sci. Eng. 18(3): 863 (2021) - [c35]John E. G. Baxter, Torin Adamson, Satomi Sugaya, Lydia Tapia:
Exploring Learning for Intercepting Projectiles with a Robot-Held Stick. IROS 2021: 369-376 - [c34]Satomi Sugaya, Mohammad R. Yousefi, Andrew R. Ferdinand, Marco Morales, Lydia Tapia:
Multitask and Transfer Learning of Geometric Robot Motion. IROS 2021: 9071-9078 - 2020
- [j16]Yazied A. Hasan, Arpit Garg, Satomi Sugaya, Lydia Tapia:
Defensive Escort Teams for Navigation in Crowds via Multi-Agent Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 5(4): 5645-5652 (2020) - [j15]Elena Delgado, Lydia Tapia:
Robotics Research During a Pandemic [Women in Engineering]. IEEE Robotics Autom. Mag. 27(3): 17-18 (2020) - [j14]Lydia Tapia, Elena Delgado:
Best Practices: Becoming a Leader Through Conference Organization [Women in Engineering]. IEEE Robotics Autom. Mag. 27(4): 78-80 (2020) - [c33]John E. G. Baxter, Mohammad R. Yousefi, Satomi Sugaya, Marco Morales, Lydia Tapia:
Deep Prediction of Swept Volume Geometries: Robots and Resolutions. IROS 2020: 6665-6672 - [e1]Marco Morales, Lydia Tapia, Gildardo Sánchez-Ante, Seth Hutchinson:
Algorithmic Foundations of Robotics XIII, Proceedings of the 13th Workshop on the Algorithmic Foundations of Robotics, WAFR 2018, Mérida, Mexico, December 9-11, 2018. Springer Proceedings in Advanced Robotics 14, Springer 2020, ISBN 978-3-030-44050-3 [contents]
2010 – 2019
- 2019
- [j13]Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser, Lydia Tapia, Aleksandra Faust:
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators From RL Policies. IEEE Robotics Autom. Lett. 4(4): 4298-4305 (2019) - [j12]Chinwe Ekenna, Lydia Tapia:
Best Practices of Successful Academic Research Labs [Women in Engineering]. IEEE Robotics Autom. Mag. 26(4): 138-141 (2019) - [c32]Torin Adamson, Julian Antolin Camarena, Lydia Tapia, Bruna Jacobson:
Optimizing Low Energy Pathways in Receptor-Ligand Binding with Motion Planning. BIBM 2019: 2041-2048 - [c31]Arpit Garg, Hao-Tien Lewis Chiang, Satomi Sugaya, Aleksandra Faust, Lydia Tapia:
Comparison of Deep Reinforcement Learning Policies to Formal Methods for Moving Obstacle Avoidance. IROS 2019: 3534-3541 - [c30]Anna Chavez, Torin Adamson, Lydia Tapia, Bruna Jacobson:
A Mobile Game for Crowdsourced Molecular Docking Pathways. MIG 2019: 5:1-5:6 - [i6]Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser, Lydia Tapia, Aleksandra Faust:
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies. CoRR abs/1907.04799 (2019) - [i5]Arpit Garg, Yazied A. Hasan, Adam Yañez, Lydia Tapia:
Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning. CoRR abs/1910.04537 (2019) - 2018
- [j11]Hao-Tien Lewis Chiang, Lydia Tapia:
COLREG-RRT: An RRT-Based COLREGS-Compliant Motion Planner for Surface Vehicle Navigation. IEEE Robotics Autom. Lett. 3(3): 2024-2031 (2018) - [j10]Lydia Tapia:
Workshops to Diversify the Next Generation of Roboticists [Women in Engineering]. IEEE Robotics Autom. Mag. 25(3): 103-105 (2018) - [j9]Chinwe Ekenna, Lydia Tapia:
The Integration of Diversity with Robotics Start-Ups [Women in Engineering]. IEEE Robotics Autom. Mag. 25(4): 100-104 (2018) - [c29]Aleksandra Faust, James B. Aimone, Conrad D. James, Lydia Tapia:
Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting. CDC 2018: 5999-6006 - [c28]Aleksandra Faust, Kenneth Oslund, Oscar Ramirez, Anthony G. Francis, Lydia Tapia, Marek Fiser, James Davidson:
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-Based Planning. ICRA 2018: 5113-5120 - [c27]Hao-Tien Lewis Chiang, Aleksandra Faust, Satomi Sugaya, Lydia Tapia:
Fast Swept Volume Estimation with Deep Learning. WAFR 2018: 52-68 - [i4]Hao-Tien Lewis Chiang, Aleksandra Faust, Lydia Tapia:
Deep Neural Networks for Swept Volume Prediction Between Configurations. CoRR abs/1805.11597 (2018) - [i3]Aleksandra Faust, James B. Aimone, Conrad D. James, Lydia Tapia:
Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting. CoRR abs/1809.09261 (2018) - [i2]Aleksandra Faust, Hao-Tien Lewis Chiang, Lydia Tapia:
PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning. CoRR abs/1811.12651 (2018) - 2017
- [j8]Aleksandra Faust, Ivana Palunko, Patricio Cruz, Rafael Fierro, Lydia Tapia:
Automated aerial suspended cargo delivery through reinforcement learning. Artif. Intell. 247: 381-398 (2017) - [j7]Nick Malone, Hao-Tien Chiang, Kendra Lesser, Meeko Oishi, Lydia Tapia:
Hybrid Dynamic Moving Obstacle Avoidance Using a Stochastic Reachable Set-Based Potential Field. IEEE Trans. Robotics 33(5): 1124-1138 (2017) - [c26]Bruna Jacobson, Jon Christian L. David, Mitchell C. Malone, Kasra Manavi, Susan R. Atlas, Lydia Tapia:
Geometric Sampling Framework for Exploring Molecular Walker Energetics and Dynamics. BCB 2017: 704-709 - [c25]Kasra Manavi, Sahba Tashakkori, Lydia Tapia:
Gaussian Mixture Models with Constrained Flexibility for Fitting Tomographic Tilt Series. BCB 2017: 710-715 - [c24]Hao-Tien Lewis Chiang, Baisravan HomChaudhuri, Abraham P. Vinod, Meeko Oishi, Lydia Tapia:
Dynamic risk tolerance: Motion planning by balancing short-term and long-term stochastic dynamic predictions. ICRA 2017: 3762-3769 - [c23]Hao-Tien Chiang, Baisravan HomChaudhuri, Lee Smith, Lydia Tapia:
Safety, Challenges, and Performance of Motion Planners in Dynamic Environments. ISRR 2017: 793-808 - [c22]Torin Adamson, Meeko Oishi, Hao-Tien Lewis Chiang, Lydia Tapia:
Busy beeway: a game for testing human-automation collaboration for navigation. MIG 2017: 9:1-9:6 - [i1]Aleksandra Faust, Oscar Ramirez, Marek Fiser, Kenneth Oslund, Anthony G. Francis, James Davidson, Lydia Tapia:
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning. CoRR abs/1710.03937 (2017) - 2016
- [j6]Brittany R. Hoard, Bruna Jacobson, Kasra Manavi, Lydia Tapia:
Extending rule-based methods to model molecular geometry and 3D model resolution. BMC Syst. Biol. 10(S-2): 48 (2016) - [j5]Lydia Tapia, Juan Cortés, Amarda Shehu, Jinalin Chen:
Foreword on special issue on robotics methods for structural and dynamic modeling of molecular systems. Robotica 34(8): 1677-1678 (2016) - [j4]Kasra Manavi, Bruna Jacobson, Brittany R. Hoard, Lydia Tapia:
Influence of model resolution on geometric simulations of antibody aggregation. Robotica 34(8): 1754-1776 (2016) - [c21]Aleksandra Faust, Hao-Tien Chiang, Nathanael Rackley, Lydia Tapia:
Avoiding moving obstacles with stochastic hybrid dynamics using PEARL: PrEference Appraisal Reinforcement Learning. ICRA 2016: 484-490 - [c20]Hao-Tien Chiang, Nathanael Rackley, Lydia Tapia:
Runtime SES planning: Online motion planning in environments with stochastic dynamics and uncertainty. IROS 2016: 4802-4809 - 2015
- [c19]Brittany R. Hoard, Bruna Jacobson, Kasra Manavi, Lydia Tapia:
Extending rule-based methods to model molecular geometry. BIBM 2015: 587-594 - [c18]Hao-Tien Chiang, Nick Malone, Kendra Lesser, Meeko Oishi, Lydia Tapia:
Path-guided artificial potential fields with stochastic reachable sets for motion planning in highly dynamic environments. ICRA 2015: 2347-2354 - [c17]Aleksandra Faust, Nick Malone, Lydia Tapia:
Preference-balancing motion planning under stochastic disturbances. ICRA 2015: 3555-3562 - [c16]Hao-Tien Chiang, Nathanael Rackley, Lydia Tapia:
Stochastic Ensemble Simulation motion planning in stochastic dynamic environments. IROS 2015: 3836-3843 - 2014
- [c15]Nick Malone, Kendra Lesser, Meeko M. K. Oishi, Lydia Tapia:
Stochastic reachability based motion planning for multiple moving obstacle avoidance. HSCC 2014: 51-60 - [c14]Torin Adamson, John E. G. Baxter, Kasra Manavi, April Suknot, Bruna Jacobson, Patrick Gage Kelley, Lydia Tapia:
Molecular tetris: crowdsourcing molecular docking using path-planning and haptic devices. MIG 2014: 133-138 - [c13]Hao-Tien Chiang, Nick Malone, Kendra Lesser, Meeko M. K. Oishi, Lydia Tapia:
Aggressive Moving Obstacle Avoidance Using a Stochastic Reachable Set Based Potential Field. WAFR 2014: 73-89 - 2013
- [c12]Ivana Palunko, Aleksandra Faust, Patricio Cruz, Lydia Tapia, Rafael Fierro:
A reinforcement learning approach towards autonomous suspended load manipulation using aerial robots. ICRA 2013: 4896-4901 - [c11]Aleksandra Faust, Ivana Palunko, Patricio Cruz, Rafael Fierro, Lydia Tapia:
Learning swing-free trajectories for UAVs with a suspended load. ICRA 2013: 4902-4909 - [c10]Nick Malone, Kasra Manavi, John E. Wood, Lydia Tapia:
Construction and use of roadmaps that incorporate workspace modeling errors. IROS 2013: 1264-1271 - 2012
- [c9]Kasra Manavi, Bridget S. Wilson, Lydia Tapia:
Simulation and analysis of antibody aggregation on cell surfaces using motion planning and graph analysis. BCB 2012: 458-465 - [c8]Nicholas Malone, Brandon Rohrer, Lydia Tapia, Ron Lumia, John E. Wood:
Implementation of an embodied general reinforcement learner on a serial link manipulator. ICRA 2012: 862-869 - [c7]Troy McMahon, Sam Ade Jacobs, Bryan Boyd, Lydia Tapia, Nancy M. Amato:
Local randomization in neighbor selection improves PRM roadmap quality. IROS 2012: 4441-4448 - 2010
- [j3]Nancy M. Amato, Lydia Tapia, Shawna L. Thomas:
A Motion Planning Approach to Studying Molecular Motions. Commun. Inf. Syst. 10(1): 53-68 (2010)
2000 – 2009
- 2009
- [c6]Lydia Tapia, Shawna L. Thomas, Bryan Boyd, Nancy M. Amato:
An unsupervised adaptive strategy for constructing probabilistic roadmaps. ICRA 2009: 4037-4044 - 2007
- [j2]Shawna L. Thomas, Xinyu Tang, Lydia Tapia, Nancy M. Amato:
Simulating Protein Motions with Rigidity Analysis. J. Comput. Biol. 14(6): 839-855 (2007) - [c5]Lydia Tapia, Xinyu Tang, Shawna L. Thomas, Nancy M. Amato:
Kinetics analysis methods for approximate folding landscapes. ISMB/ECCB (Supplement of Bioinformatics) 2007: 539-548 - [c4]Xinyu Tang, Shawna L. Thomas, Lydia Tapia, Nancy M. Amato:
Tools for Simulating and Analyzing RNA Folding Kinetics. RECOMB 2007: 268-282 - 2006
- [c3]Shawna L. Thomas, Xinyu Tang, Lydia Tapia, Nancy M. Amato:
Simulating Protein Motions with Rigidity Analysis. RECOMB 2006: 394-409 - 2005
- [c2]Marco Morales, Lydia Tapia, Roger A. Pearce, Samuel Rodríguez, Nancy M. Amato:
C-space Subdivision and Integration in Feature-Sensitive Motion Planning. ICRA 2005: 3114-3119 - 2004
- [c1]Marco Morales, Lydia Tapia, Roger A. Pearce, Samuel Rodríguez, Nancy M. Amato:
A Machine Learning Approach for Feature-Sensitive Motion Planning. WAFR 2004: 361-376 - 2000
- [j1]Sharon A. Stansfield, Daniel Shawver, Annette Sobel, Monica Prasad, Lydia Tapia:
Design and Implementation of a Virtual Reality System and Its Application to Training Medical First Responders. Presence Teleoperators Virtual Environ. 9(6): 524-556 (2000)
Coauthor Index
aka: Hao-Tien Lewis Chiang
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