Locally weighted learning CG Atkeson, AW Moore, S Schaal Lazy learning, 11-73, 1997 | 2482 | 1997 |
Cyberguide: A mobile context‐aware tour guide GD Abowd, CG Atkeson, J Hong, S Long, R Kooper, M Pinkerton Wireless networks 3, 421-433, 1997 | 2267 | 1997 |
The aware home: A living laboratory for ubiquitous computing research CD Kidd, R Orr, GD Abowd, CG Atkeson, IA Essa, B MacIntyre, E Mynatt, ... Cooperative Buildings. Integrating Information, Organizations, and …, 1999 | 1685 | 1999 |
Prioritized sweeping: Reinforcement learning with less data and less time AW Moore, CG Atkeson Machine learning 13, 103-130, 1993 | 1316 | 1993 |
Kinematic features of unrestrained vertical arm movements CG Atkeson, JM Hollerbach Journal of Neuroscience 5 (9), 2318-2330, 1985 | 1279 | 1985 |
Human-in-the-loop optimization of exoskeleton assistance during walking J Zhang, P Fiers, KA Witte, RW Jackson, KL Poggensee, CG Atkeson, ... Science 356 (6344), 1280-1284, 2017 | 929 | 2017 |
Robot learning from demonstration CG Atkeson, S Schaal ICML 97, 12-20, 1997 | 879 | 1997 |
Locally weighted learning for control CG Atkeson, AW Moore, S Schaal Lazy learning, 75-113, 1997 | 798 | 1997 |
Model-based control of a robot manipulator CH An, CG Atkeson, JM Hollerbach MIT press, 1988 | 755 | 1988 |
Estimation of inertial parameters of manipulator loads and links CG Atkeson, CH An, JM Hollerbach The International Journal of Robotics Research 5 (3), 101-119, 1986 | 747 | 1986 |
Constructive incremental learning from only local information S Schaal, CG Atkeson Neural computation 10 (8), 2047-2084, 1998 | 742 | 1998 |
Technologies for an aging society: a systematic review of “smart home” applications G Demiris, BK Hensel Yearbook of medical informatics 17 (01), 33-40, 2008 | 656 | 2008 |
Rapid prototyping of mobile context-aware applications: The cyberguide case study S Long, R Kooper, GD Abowd, CG Atkeson Proceedings of the 2nd annual international conference on Mobile computing …, 1996 | 521 | 1996 |
The parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spaces A Moore Advances in neural information processing systems 6, 1993 | 511 | 1993 |
Predicting human interruptibility with sensors J Fogarty, SE Hudson, CG Atkeson, D Avrahami, J Forlizzi, S Kiesler, ... ACM Transactions on Computer-Human Interaction (TOCHI) 12 (1), 119-146, 2005 | 473 | 2005 |
Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors DH Wilson, C Atkeson International Conference on Pervasive Computing, 62-79, 2005 | 466 | 2005 |
Adapting human motion for the control of a humanoid robot NS Pollard, JK Hodgins, MJ Riley, CG Atkeson Proceedings 2002 IEEE international conference on robotics and automation …, 2002 | 464 | 2002 |
Learning arm kinematics and dynamics. CG Atkeson Annual review of neuroscience 12, 157-183, 1989 | 429 | 1989 |
Predicting human interruptibility with sensors: a Wizard of Oz feasibility study S Hudson, J Fogarty, C Atkeson, D Avrahami, J Forlizzi, S Kiesler, J Lee, ... Proceedings of the SIGCHI conference on Human factors in computing systems …, 2003 | 425 | 2003 |
Robot juggling: implementation of memory-based learning S Schaal, CG Atkeson IEEE Control Systems Magazine 14 (1), 57-71, 1994 | 393 | 1994 |