Monica Nicolescu
Monica Nicolescu
Associate Professor of Computer Science and Engineering, University of Nevada, Reno
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Natural methods for robot task learning: Instructive demonstrations, generalization and practice
MN Nicolescu, MJ Mataric
Proceedings of the second international joint conference on Autonomous …, 2003
Learning and interacting in human-robot domains
MN Nicolescu, MJ Mataric
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions …, 2001
Understanding human intentions via hidden markov models in autonomous mobile robots
R Kelley, M Nicolescu, A Tavakkoli, C King, G Bebis
ACM/IEEE International Conference on Human-Robot Interaction, 367-374, 2008
A hierarchical architecture for behavior-based robots
MN Nicolescu, MJ Matarić
Proceedings of the first international joint conference on Autonomous agents …, 2002
Non-parametric statistical background modeling for efficient foreground region detection
A Tavakkoli, M Nicolescu, G Bebis, M Nicolescu
Machine Vision and Applications 20 (6), 395-409, 2009
Experience-based representation construction: learning from human and robot teachers
MN Nicolescu, MJ Mataric
Intelligent Robots and Systems, 2001. Proceedings. 2001 IEEE/RSJ …, 2001
Task learning through imitation and human-robot interaction
MN Nicolescu, MJ Mataric
in Models and Mechanisms of Imitation and Social Learning in Robots, Humans …, 2005
Vehicle classification framework: a comparative study
A Ambardekar, M Nicolescu, G Bebis, M Nicolescu
EURASIP Journal on Image and Video Processing 2014 (1), 29, 2014
A framework for learning from demonstration, generalization and practice in human-robot domains
MN Nicolescu
University of Southern California, 2003
Liability in Robotics: An International Perspective on Robots as Animals
R Kelley, E Schaerer, M Gomez, M Nicolescu
Advanced Robotics 24 (13), 1861-1871, 2010
Context-Based Bayesian Intent Recognition
R Kelley, A Tavakkoli, C King, A Ambardekar, M Nicolescu
IEEE Transactions on Autonomous Mental Development 4 (3), 215-225, 2012
Robots as animals: A framework for liability and responsibility in human-robot interactions
E Schaerer, R Kelley, M Nicolescu
Robot and Human Interactive Communication, 2009. RO-MAN 2009. The 18th IEEE …, 2009
An edge-less approach to horizon line detection
T Ahmad, G Bebis, M Nicolescu, A Nefian, T Fong
Machine Learning and Applications (ICMLA), 2015 IEEE 14th International …, 2015
An architecture for understanding intent using a novel hidden markov formulation
R Kelley, C King, A Tavakkoli, M Nicolescu, M Nicolescu, G Bebis
International Journal of Humanoid Robotics 5 (02), 203-224, 2008
Incremental SVDD training: improving efficiency of background modeling in videos
A Tavakkoli, M Nicolescu, M Nicolescu, G Bebis
International Conference on Signal and Image Processing 623, 1-6, 2008
Extending behaivor-based systems capabilities using an abstract behavior representation
MN Nicolescu, MJ Mataric
Benefits of Human-Robot Interaction [TC Spotlight]
P Salvine, M Nicolescu, H Ishiguro
Robotics & Automation Magazine, IEEE 18 (4), 98-99, 2011
A vision-based architecture for intent recognition
A Tavakkoli, R Kelley, C King, M Nicolescu, M Nicolescu, G Bebis
Advances in Visual Computing, 173-182, 2007
Improving target detection by coupling it with tracking
J Wang, G Bebis, M Nicolescu, M Nicolescu, R Miller
Machine Vision and Applications 20 (4), 205-223, 2009
Behavior-based systems
F Michaud, M Nicolescu
Springer Handbook of Robotics, 307-328, 2016
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