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Aaron Bobick

Affiliations: 
Georgia Institute of Technology, Atlanta, GA 
Area:
Computer Science, Robotics Engineering
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Parents

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Whitman Richards grad student 1987 Washington University (Neurotree)
 (Moved from Georgia Tech on July 1, 2015 (http://www.cc.gatech.edu/~afb/))

Children

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Amos Y. Johnson grad student 2002 Georgia Tech
Rawesak Tanawongsuwan grad student 2003 Georgia Tech
Vivek Kwatra grad student 2005 Georgia Tech
Delphine Nain grad student 2006 Georgia Tech
Yifan Shi grad student 2006 Georgia Tech
Muhammad Hamid grad student 2008 Georgia Tech
Tucker Hermans grad student 2009-2014 Georgia Tech

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Publications

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Hermans T, Li F, Rehg JM, et al. (2015) Learning contact locations for pushing and orienting unknown objects Ieee-Ras International Conference On Humanoid Robots. 2015: 435-442
Levchuk G, Jacobsen M, Furjanic C, et al. (2013) Learning and detecting coordinated multi-entity activities from persistent surveillance Proceedings of Spie - the International Society For Optical Engineering. 8745
Hermans T, Rehg JM, Bobick AF. (2013) Decoupling behavior, perception, and control for autonomous learning of affordances Proceedings - Ieee International Conference On Robotics and Automation. 4989-4996
Hermans T, Li F, Rehg JM, et al. (2013) Learning stable pushing locations 2013 Ieee 3rd Joint International Conference On Development and Learning and Epigenetic Robotics, Icdl 2013 - Electronic Conference Proceedings
Hermans T, Rehg JM, Bobick A. (2012) Guided pushing for object singulation Ieee International Conference On Intelligent Robots and Systems. 4783-4790
Sun J, Moore JL, Bobick A, et al. (2010) Learning visual object categories for robot affordance prediction International Journal of Robotics Research. 29: 174-197
Levchuk G, Bobick A, Jones E. (2010) Activity and function recognition for moving and static objects in urban environments from wide-area persistent surveillance inputs Proceedings of Spie - the International Society For Optical Engineering. 7704
Hamid R, Maddi S, Johnson A, et al. (2009) A novel sequence representation for unsupervised analysis of human activities Artificial Intelligence. 173: 1221-1244
Nain D, Styner M, Niethammer M, et al. (2007) STATISTICAL SHAPE ANALYSIS OF BRAIN STRUCTURES USING SPHERICAL WAVELETS. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 4: 209-212
Nain D, Haker S, Bobick A, et al. (2007) Multiscale 3-D shape representation and segmentation using spherical wavelets. Ieee Transactions On Medical Imaging. 26: 598-618
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