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
  • 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. 2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS). 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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awards and honors
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