education and training
- Ph.D. in Computer Science, University of Illinois at Urbana Champaign - (Urbana, Illinois, United States) 1995
- M.S. in Computer Science, University of California, Berkeley - (Berkeley, California, United States) 1988
- B.S. in Mathematical Sciences, Stanford University - (Stanford, California, United States) 1986
- A.B. in Economics, Stanford University - (Stanford, California, United States) 1986
- 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.
- Amato, N. M., Brock, O., Morales, M., & Thomas, S. (2018). Special issue on “Robotics: Science and Systems”, 2016. Autonomous Robots. 42(7), 1299-1300.
- Amato, N. M., Ekenna, C., Thomas, S., & Roy, N. (2018). Editorial. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH. 37(10), 1115-1116.
- 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.
- 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.
- Doctoral Student Workshop on Algorithmic Foundations of Robotics awarded by National Science Foundation 2014 - 2015
- AF: Small: Motion Planning Techniques for Protein Motion awarded by National Science Foundation 2014 - 2019
- Nutrition, Biostatistics and Bioinformatics Training Grant awarded by DHHS-NIH-National Cancer Institute 2013 - 2021
- RI: Small: Sampling Based Feedback Motion Planners awarded by National Science Foundation 2012 - 2016
awards and honors
- Montague - Center for Teaching Excellence Scholars conferred by Texas A&M University - (College Station, Texas, United States) - 1 year award 1997
recent teaching activities
chaired theses and dissertations
- Marsy, Vincent S (2015-08). Dynamic Load Balancing in a Geophysics Application Using STAPL. (Master's Thesis)
- Pearce, Olga (2014-12). Load Balancing Scientific Applications. (Doctoral Dissertation)
- Jacobs, Samson Ade (2014-05). A Scalable Framework for Parallelizing Sampling-Based Motion Planning Algorithms. (Doctoral Dissertation)
- Giese, Andrew W (2014-05). Reciprocally-rotating Velocity Obstacles. (Master's Thesis)
- Pearce, Roger Allan (2013-12). Scalable Parallel Algorithms for Massive Scale-free Graphs. (Doctoral Dissertation)
Texas A&M University; Engineering Academic Coordination; 3126 TAMU
College Station, TX 77843-3112