| 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 IEEE Transactions on Systems, man, and Cybernetics-part A: Systems and …, 2001 | 278 | 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 | 241 | 2008 |
| A hierarchical architecture for behavior-based robots MN Nicolescu, MJ Matarić Proceedings of the first international joint conference on Autonomous agents …, 2002 | 234 | 2002 |
| Non-parametric statistical background modeling for efficient foreground region detection A Tavakkoli, M Nicolescu, G Bebis, M Nicolescu Machine Vision and Applications 20, 395-409, 2009 | 89 | 2009 |
| Experience-based representation construction: learning from human and robot teachers MN Nicolescu, MJ Mataric Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and …, 2001 | 70 | 2001 |
| Task learning through imitation and human-robot interaction M Nicolescu, MJ Mataric Models and mechanisms of imitation and social learning in robots, humans and …, 2005 | 60 | 2005 |
| Vehicle classification framework: a comparative study A Ambardekar, M Nicolescu, G Bebis, M Nicolescu EURASIP Journal on Image and Video Processing 2014, 1-13, 2014 | 54 | 2014 |
| 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 | 50 | 2010 |
| A framework for learning from demonstration, generalization and practice in human-robot domains MN Nicolescu University of Southern California, 2003 | 50 | 2003 |
| 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 | 44 | 2012 |
| Robots as animals: A framework for liability and responsibility in human-robot interactions E Schaerer, R Kelley, M Nicolescu RO-MAN 2009-The 18th IEEE International Symposium on Robot and Human …, 2009 | 43 | 2009 |
| An edge-less approach to horizon line detection T Ahmad, G Bebis, M Nicolescu, A Nefian, T Fong 2015 IEEE 14th international conference on machine learning and applications …, 2015 | 40 | 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 behavior-based systems capabilities using an abstract behavior representation M Nicolescu AAAI Fall Symposium on Parallel Cognition, 2000 | 38 | 2000 |
| Benefits of human-robot interaction [TC Spotlight] P Salvine, M Nicolescu, H Ishiguro IEEE Robotics & Automation Magazine 18 (4), 98-99, 2011 | 36 | 2011 |
| A vision-based architecture for intent recognition A Tavakkoli, R Kelley, C King, M Nicolescu, M Nicolescu, G Bebis Advances in Visual Computing: Third International Symposium, ISVC 2007, Lake …, 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, 205-223, 2009 | 33 | 2009 |
| Behavior-based systems F Michaud, M Nicolescu Springer handbook of robotics, 307-328, 2016 | 31 | 2016 |
