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Amato, Nancy individual record
Professor - Term Appointment
Positions:
selected publications
Academic Articles45
  • Motes, J., Sandstrm, R., Adams, W., Ogunyale, T., Thomas, S., & Amato, N. M. (2019). Interaction Templates for Multi-Robot Systems. IEEE ROBOTICS AND AUTOMATION LETTERS. 4(3), 2926-2933.
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  • Amato, N. M., Brock, O., Morales, M., & Thomas, S. (2018). Special issue on “Robotics: Science and Systems”, 2016. Autonomous Robots. 42(7), 1299-1300.
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  • Amato, N. M., Ekenna, C., Thomas, S., & Roy, N. (2018). Editorial. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH. 37(10), 1115-1116.
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  • McMahon, T., Thomas, S., & Amato, N. M. (2018). Sampling-based motion planning with reachable volumes for high-degree-of-freedom manipulators. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH. 37(7), 779-817.
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  • Agha-Mohammadi, A. A., Agarwal, S., Kim, S. K., Chakravorty, S., & Amato, N. M. (2018). SLAP: Simultaneous Localization and Planning under Uncertainty via Dynamic Replanning in Belief Space. IEEE Transactions on Robotics. 34(5), 1195-1214.
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Books2
  • Levent Akin, H., Amato, N. M., Isler, V., & Van der Stappen, A. F. (2015). Preface.
  • Akella, S., Amato, N. M., Huang, W. H., & Mishra, B. (2008). Springer Tracts in Advanced Robotics: Preface.
Conference Papers182
  • Pattanshetti, S., Sandstrom, R., Kottala, A., Amato, N. M., & Ryu, S. C. (2019). Feasibility study of robotic needles with a rotational tip-joint and notch patterns. 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA). 2019-May, 1534-1540.
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  • Ebinger, T., Kaden, S., Thomas, S., Andre, R., Amato, N. M., & Thomas, U. (2018). A General and Flexible Search Framework for Disassembly Planning. 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA). 00, 1-8.
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  • Sandström, R., Bregger, A., Smith, B., Thomas, S., & Amato, N. M. (2018). Topological Nearest-Neighbor Filtering for Sampling-Based Planners. 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA). 00, 3053-3060.
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  • Denny, J., Sandstrom, R., & Amato, N. M. (2018). A General Region-Based Framework for Collaborative Planning. ROBOTICS RESEARCH, VOL 2. 3, 563-579.
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  • Mcmahon, T., Jenkins, O. C., & Amato, N. (2018). Affordance Wayfields for Task and Motion Planning. IEEE International Conference on Intelligent Robots and Systems. 2955-2962.
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  • Fidel, A., Sabido, F. C., Riedel, C., Amato, N. M., & Rauchwerger, L. (2017). Fast Approximate Distance Queries in Unweighted Graphs Using Bounded Asynchrony. ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS. 10136, 40-54.
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  • Ekenna, C., Thomas, S., & Amato, N. M. (2016). Adaptive local learning in sampling based motion planning for protein folding. BMC SYSTEMS BIOLOGY. 10, 49.
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  • Papadopoulos, I., Thomas, N., Fidel, A., Hoxha, D., Amato, N. M., & Rauchwerger, L. (2016). Asynchronous nested parallelism for dynamic applications in distributed memory. ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS. 9519, 106-121.
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  • Mishra, S., Rodriguez, S., Morales, M., & Amato, N. M. (2016). Battery-constrained coverage. 2014 IEEE International Conference on Automation Science and Engineering (CASE). 2016-November, 695-700.
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  • Pearce, O., Gamblin, T., de Supinski, B. R., Schulz, M., Amato, N. M., & IEEE, .. (2016). MPMD Framework for Offloading Load Balance Computation. Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016. 943-952.
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  • Rodriguez, S., Morales, M., Amato, N. M., & IEEE, .. (2016). Multi-Agent Push Behaviors for Large Sets of Passive Objects. IEEE International Conference on Intelligent Robots and Systems. 2016-November, 4437-4442.
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  • Denny, J., Colbert, J., Qin, H., Amato, N. M., & IEEE, .. (2016). On the Theory of User-guided Planning. IEEE International Conference on Intelligent Robots and Systems. 2016-November, 4794-4801.
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  • Harshvardhan, .., Fidel, A., Amato, N. M., Rauchwerger, L., & IEEE, .. (2016). An Algorithmic Approach to Communication Reduction in Parallel Graph Algorithms. PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES AND COMPILATION TECHNIQUES (PACT'14). 201-212.
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  • Ekenna, C., Thomas, S., & Amato, N. M. (2015). Adaptive Local Learning in Sampling Based Motion Planning for Protein Folding. 61-68.
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  • Yeh, H., Lindsey, A., Wu, C., Thomas, S., & Amato, N. M. (2015). Decoy Database Improvement for Protein Folding. Journal of Computational Biology. 22(9), 823-836.
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  • Ekenna, C., Uwaeu, D., Thomas, S., & Amato, N. M. (2015). Improved Roadmap Connection via Local Learning for Sampling Based Planners. IEEE International Conference on Intelligent Robots and Systems. 2015-December, 3227-3234.
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  • McMahon, T., Thomas, S., & Amato, N. M. (2015). Reachable Volume RRT. 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA). 2015-June(June), 2977-2984.
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  • Harshvardhan, .., Amato, N. M., & Rauchwerger, L. (2015). A Hierarchical Approach to Reducing Communication in Parallel Graph Algorithms. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP. 50(8), 285-286.
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  • Harshvardhan, .., West, B., Fidel, A., Amato, N. M., Rauchwerger, L., & IEEE, .. (2015). A Hybrid Approach To Processing Big Data Graphs on Memory-Restricted Systems. Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016. 799-808.
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  • Denny, J., Sandstrom, R., Julian, N., & Amato, N. M. (2015). A Region-Based Strategy for Collaborative Roadmap Construction. ALGORITHMIC FOUNDATIONS OF ROBOTICS VIII. 107, 125-141.
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  • Levent Akin, H., Amato, N. M., Isler, V., & Van Der Stappen, A. F. (2015). Algorithmic foundations of robotics XI: Selected Contributions of the Eleventh International Workshop on the Algorithmic Foundations of Robotics. ALGORITHMIC FOUNDATIONS OF ROBOTICS VIII. 107,
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  • Amato, N. M., Libeskind-Hadas, R., & Metaxas, P. T. (2015). CRA-E panel on undergraduate research. 2015-January, 113-115.
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  • Zandifar, M., Abdul Jabbar, M., Majidi, A., Keyes, D., Amato, N. M., & Rauchwerger, L. (2015). Composing algorithmic skeletons to express high-performance scientific applications. 2015-June, 415-424.
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  • Pearce, O., Gamblin, T., de Supinski, B. R., Schulz, M., & Amato, N. M. (2015). Decoupled Load Balancing. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP. 50(8), 267-268.
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  • Parker, L., & Amato, N. M. (2015). IEEE ICRA 2015-Celebrating the Diversity of Robots and Roboticists [Society News]. IEEE Robotics and Automation Magazine. 22(3), 168-170.
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  • Papadopoulos, I., Thomas, N., Fidel, A., Amato, N. M., & Rauchwerger, L. (2015). Stapl-rts: An application driven runtime system. 2015-June, 425-434.
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  • Zandifar, M., Thomas, N., Amato, N. M., & Rauchwerger, L. (2015). The STAPL Skeleton Framework. ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS. 8967, 176-190.
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  • Yeh, H., Thomas, S., & Amato, N. M. (2015). Using motion planning to rank ligand binding affinity. 529-530.
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  • McMahon, T., Thomas, S., & Amato, N. M. (2014). Sampling Based Motion Planning with Reachable Volumes: Application to Manipulators and Closed Chain Systems. IEEE International Conference on Intelligent Robots and Systems. 3705-3712.
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  • Denny, J., Greco, E., Thomas, S., & Amato, N. M. (2014). Marrt: Medial axis Biased Rapidly-Exploring Random Trees. 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA). 90-97.
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  • McMahon, T., Thomas, S., & Amato, N. M. (2014). Sampling-Based Motion Planning with Reachable Volumes: Theoretical Foundations. 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA). 6514-6521.
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  • Yeh, H., Denny, J., Lindsey, A., Thomas, S., & Amato, N. M. (2014). UMAPRM: Uniformly Sampling the Medial Axis. 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA). 5798-5803.
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  • Pearce, R., Gokhale, M., Amato, N. M., & IEEE, .. (2014). Faster Parallel Traversal of Scale Free Graphs at Extreme Scale with Vertex Delegates. SC14: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS. 2015-January(January), 549-559.
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  • Fidel, A., Amato, N. M., Rauchwerger, L., & IEEE, .. (2014). From Petascale to the Pocket: Adaptively Scaling Parallel Programs for Mobile SoCs. PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES AND COMPILATION TECHNIQUES (PACT'14). 511-512.
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  • Harshvardhan, .., Fidel, A., Amato, N. M., Rauchwerger, L., & IEEE, .. (2014). KLA: A New Algorithmic Paradigm for Parallel Graph Computations. PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES AND COMPILATION TECHNIQUES (PACT'14). 27-38.
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  • Rauchwerger, L. (2014). KLA: A New Algorithmic Paradigm for Parallel Graph Computations. ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS. 8664, 27-38.
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  • Pearce, O., Gamblin, T., de Supinski, B. R., Arsenlis, T., & Amato, N. M. (2014). Load Balancing N-Body Simulations with Highly Non-Uniform Density. 113-122.
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  • Shapiro, A., Amato, N. M., Hodgins, J., & Rodriguez, S. (2014). Preface. 6.
  • Harshvardhan, .., Amato, N. M., Rauchwerger, L., & IEEE, .. (2014). Processing Big Data Graphs on Memory-Restricted Systems. PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES AND COMPILATION TECHNIQUES (PACT'14). 517-518.
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  • Giese, A., Latypov, D., Amato, N. M., & IEEE, .. (2014). Reciprocally-Rotating Velocity Obstacles. 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA). 3234-3241.
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  • Agha-mohammadi, A., Agarwal, S., Mahadevan, A., Chakravorty, S., Tomkins, D., Denny, J., Amato, N. M., & IEEE, .. (2014). Robust Online Belief Space Planning in Changing Environments: Application to Physical Mobile Robots. 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA). 149-156.
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  • Shi, K., Denny, J., Amato, N. M., & IEEE, .. (2014). Spark PRM: Using RRTs Within PRMs to Efficiently Explore Narrow Passages. 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA). 4659-4666.
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  • Jacobs, S. A., & Amato, N. M. (2014). The anatomy of a distributed motion planning roadmap. IEEE International Conference on Intelligent Robots and Systems. 3019-3026.
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  • Fidel, A., Jacobs, S. A., Sharma, S., Amato, N. M., Rauchwerger, L., & IEEE, .. (2014). Using Load Balancing to Scalably Parallelize Sampling-Based Motion Planning Algorithms. Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016. 573-582.
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  • Hawkins, W. D., Bailey, T. S., Adams, M. L., Brown, P. N., Kunen, A. J., Adams, M. P., ... Rauchwerger, L. (2014). Validation of full-domain massively parallel transport sweep algorithms. TRANSACTIONS OF THE AMERICAN NUCLEAR SOCIETY. 111, 699-702.
  • Lindsey, A., Yeh, H., Wu, C., Thomas, S., & Amato, N. M. (2014). Improving decoy databases for protein folding algorithms. 717-724.
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  • Ekenna, C., Jacobs, S. A., Thomas, S., & Amato, N. M. (2013). Adaptive Neighbor Connection for PRMs: A Natural Fit for Heterogeneous Environments and Parallelism. IEEE International Conference on Intelligent Robots and Systems. 1249-1256.
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  • Rodriguez, C., Denny, J., Jacobs, S. A., Thomas, S., & Amato, N. M. (2013). Blind RRT: A Probabilistically Complete Distributed RRT. IEEE International Conference on Intelligent Robots and Systems. 1758-1765.
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chaired theses and dissertations
Email
amato@tamu.edu
First Name
Nancy
Last Name
Amato
mailing address
Texas A&M University; Engineering Academic Coordination; 3126 TAMU
College Station, TX 77843-3112
USA