☰

Nancy M. Amato

Affiliations: 
Texas A & M University, College Station, TX, United States 
Area:
Computer Science, Robotics Engineering
Google:
"Nancy Amato"
Tree Publications Similar researchers PubMed Report error

Parents

Sign in to add mentor
Franco P. Preparata grad student 1995 UIUC (Computer Science Tree)
 (Parallel Algorithms for Convex Hulls and Proximity Problems)

Children

Sign in to add trainee
Lucia K. Dale grad student 2000 Texas A & M
Gregory S. Schmidt grad student 2000 Texas A & M
Daniel Vallejo Rodriguez grad student 2000 Texas A & M
Wookho Son grad student 2001 Texas A & M
Osman B. Bayazit grad student 2003 Texas A & M
Guang Song grad student 2003 Texas A & M
Jinsuck Kim grad student 2004 Texas A & M
Jyh-Ming Lien grad student 2006 Texas A & M
Marco A. Morales Aguirre grad student 2007 Texas A & M
Xinyu Tang grad student 2007 Texas A & M
Lydia Tapia grad student 2009 Texas A & M
Shawna L. Thomas grad student 2010 Texas A & M

Collaborators

Sign in to add collaborator
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Amato NM, Hager G, Thomas SL, et al. (2019) Special issue on the International Symposium on Robotics Research, 2017 The International Journal of Robotics Research. 38: 1327-1328
McMahon T, Thomas S, Amato NM. (2018) Sampling-based motion planning with reachable volumes for high-degree-of-freedom manipulators The International Journal of Robotics Research. 37: 779-817
Agha-mohammadi A, Agarwal S, Kim S, et al. (2018) SLAP: Simultaneous Localization and Planning Under Uncertainty via Dynamic Replanning in Belief Space Ieee Transactions On Robotics. 34: 1195-1214
Amato NM, Brock O, Morales M, et al. (2018) Special issue on “Robotics: Science and Systems”, 2016 Autonomous Robots. 42: 1299-1300
Ekenna C, Thomas S, Amato NM. (2016) Adaptive local learning in sampling based motion planning for protein folding. Bmc Systems Biology. 10: 49
Van Der Stappen AF, Akin HL, Amato NM, et al. (2016) Guest Editorial Special Section on the 11th Workshop on the Algorithmic Foundations of Robotics (WAFR 2014) Ieee Transactions On Automation Science and Engineering. 13: 414
Yeh HY, Lindsey A, Wu CP, et al. (2015) Decoy Database Improvement for Protein Folding. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 22: 823-36
Akln HL, Amato NM, Isler V, et al. (2015) Special Issue on the Eleventh Workshop on the Algorithmic Foundations of Robotics, 2014 International Journal of Robotics Research. 35: 437
Van Der Stappen AF, Akin HL, Amato NM, et al. (2015) Guest Editorial Special Section on the 2014 Workshop on the Algorithmic Foundations of Robotics Ieee Transactions On Automation Science and Engineering. 12: 1297
Ekenna C, Uwacu D, Thomas S, et al. (2015) Improved roadmap connection via local learning for sampling based planners Ieee International Conference On Intelligent Robots and Systems. 2015: 3227-3234
See more...