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 | 492 | 2003 |
Learning and interacting in human-robot domains MN Nicolescu, MJ Mataric Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions …, 2001 | 279 | 2001 |
A hierarchical architecture for behavior-based robots MN Nicolescu, MJ Matarić Proceedings of the first international joint conference on Autonomous agents …, 2002 | 236 | 2002 |
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 | 234 | 2008 |
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 | 88 | 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 | 70 | 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 | 58 | 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 | 53 | 2014 |
A framework for learning from demonstration, generalization and practice in human-robot domains MN Nicolescu University of Southern California, 2003 | 50 | 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 | 44 | 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 | 43 | 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 | 42 | 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 | 39 | 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 | 39 | 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 | 39 | 2008 |
Extending behaivor-based systems capabilities using an abstract behavior representation MN Nicolescu, MJ Mataric | 37 | 2000 |
Benefits of Human-Robot Interaction [TC Spotlight] P Salvine, M Nicolescu, H Ishiguro Robotics & Automation Magazine, IEEE 18 (4), 98-99, 2011 | 35 | 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 | 35 | 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 | 33 | 2009 |
Behavior-based systems F Michaud, M Nicolescu Springer Handbook of Robotics, 307-328, 2016 | 30 | 2016 |