2008 |
58 | EE | Gordon Cheng,
Sang-Ho Hyon,
Ales Ude,
Jun Morimoto,
Joshua G. Hale,
Joseph Hart,
Jun Nakanishi,
Darrin C. Bentivegna,
Jessica K. Hodgins,
Christopher G. Atkeson,
Michael Mistry,
Stefan Schaal,
Mitsuo Kawato:
CB: Exploring neuroscience with a humanoid research platform.
ICRA 2008: 1772-1773 |
57 | EE | Jun Morimoto,
Sang-Ho Hyon,
Christopher G. Atkeson,
Gordon Cheng:
Low-dimensional feature extraction for humanoid locomotion using kernel dimension reduction.
ICRA 2008: 2711-2716 |
56 | EE | Christopher G. Atkeson,
Benjamin J. Stephens:
Random Sampling of States in Dynamic Programming.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(4): 924-929 (2008) |
55 | EE | Arash Mahboobin,
Patrick J. Loughlin,
Mark S. Redfern,
Stuart O. Anderson,
Christopher G. Atkeson,
Jessica K. Hodgins:
Sensory adaptation in human balance control: Lessons for biomimetic robotic bipeds.
Neural Networks 21(4): 621-627 (2008) |
2007 |
54 | EE | Martin Stolle,
Hanns Tappeiner,
Joel Chestnutt,
Christopher G. Atkeson:
Transfer of policies based on trajectory libraries.
IROS 2007: 2981-2986 |
53 | EE | Jun Morimoto,
Christopher G. Atkeson,
Gen Endo,
Gordon Cheng:
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression.
IROS 2007: 4234-4240 |
52 | EE | Christopher G. Atkeson,
Benjamin Stephens:
Random Sampling of States in Dynamic Programming.
NIPS 2007 |
2006 |
51 | | Jun Morimoto,
Gen Endo,
Jun Nakanishi,
Sang-Ho Hyon,
Gordon Cheng,
Darrin C. Bentivegna,
Christopher G. Atkeson:
Modulation of Simple Sinusoidal Patterns by a Coupled Oscillator Model for Biped Walking.
ICRA 2006: 1579-1584 |
50 | | Martin Stolle,
Christopher G. Atkeson:
Policies based on Trajectory Libraries.
ICRA 2006: 3344-3349 |
49 | EE | Darrin C. Bentivegna,
Christopher G. Atkeson,
Gordon Cheng:
Learning Similar Tasks From Observation and Practice.
IROS 2006: 2677-2683 |
2005 |
48 | EE | Amy Hurst,
John Zimmerman,
Christopher G. Atkeson,
Jodi Forlizzi:
The sense lounger: establishing a ubicomp beachhead in elders' homes.
CHI Extended Abstracts 2005: 1467-1470 |
47 | | Jun Morimoto,
Jun Nakanishi,
Gen Endo,
Gordon Cheng,
Christopher G. Atkeson,
Garth Zeglin:
Poincaré-Map-Based Reinforcement Learning For Biped Walking.
ICRA 2005: 2381-2386 |
46 | | Mike Stilman,
Christopher G. Atkeson,
James Kuffner,
Garth Zeglin:
Dynamic Programming in Reduced Dimensional Spaces: Dynamic Planning For Robust Biped Locomotion.
ICRA 2005: 2399-2404 |
45 | EE | D. H. Wilson,
Christopher G. Atkeson:
Simultaneous Tracking and Activity Recognition (STAR) Using Many Anonymous, Binary Sensors.
Pervasive 2005: 62-79 |
44 | EE | James Fogarty,
Scott E. Hudson,
Christopher G. Atkeson,
Daniel Avrahami,
Jodi Forlizzi,
Sara B. Kiesler,
Johnny C. Lee,
Jie Yang:
Predicting human interruptibility with sensors.
ACM Trans. Comput.-Hum. Interact. 12(1): 119-146 (2005) |
2004 |
43 | EE | Jun Morimoto,
Gordon Cheng,
Christopher G. Atkeson,
Garth Zeglin:
A Simple Reinforcement Learning Algorithm for Biped Walking.
ICRA 2004: 3030-3035 |
42 | EE | Darrin C. Bentivegna,
Christopher G. Atkeson,
Gordon Cheng:
Learning tasks from observation and practice.
Robotics and Autonomous Systems 47(2-3): 163-169 (2004) |
41 | EE | Ales Ude,
Christopher G. Atkeson,
Marcia Riley:
Programming full-body movements for humanoid robots by observation.
Robotics and Autonomous Systems 47(2-3): 93-108 (2004) |
2003 |
40 | EE | Scott E. Hudson,
James Fogarty,
Christopher G. Atkeson,
Daniel Avrahami,
Jodi Forlizzi,
Sara B. Kiesler,
Johnny C. Lee,
Jie Yang:
Predicting human interruptibility with sensors: a Wizard of Oz feasibility study.
CHI 2003: 257-264 |
39 | | Marcia Riley,
Ales Ude,
Keegan Wade,
Christopher G. Atkeson:
Enabling real-time full-body imitation: a natural way of m-ansferring human movement to humanoids.
ICRA 2003: 2368-2374 |
38 | EE | Darrin C. Bentivegna,
Gordon Cheng,
Christopher G. Atkeson:
Learning from Observation and from Practice Using Behavioral Primitives.
ISRR 2003: 551-560 |
37 | EE | Ales Ude,
Christopher G. Atkeson:
Online tracking and mimicking of human movements by a humanoid robot.
Advanced Robotics 17(2): 165-178 (2003) |
2002 |
36 | EE | Ales Ude,
Christopher G. Atkeson:
Probabilistic Detection and Tracking at High Frame Rates Using Affine Warping.
ICPR (2) 2002: 6-9 |
35 | | Nancy S. Pollard,
Jessica K. Hodgins,
Marcia Riley,
Christopher G. Atkeson:
Adapting Human Motion for the Control of a Humanoid Robot.
ICRA 2002: 1390-1397 |
34 | EE | Jun Morimoto,
Christopher G. Atkeson:
Minimax Differential Dynamic Programming: An Application to Robust Biped Walking.
NIPS 2002: 1539-1546 |
33 | EE | Christopher G. Atkeson,
Jun Morimoto:
Nonparametric Representation of Policies and Value Functions: A Trajectory-Based Approach.
NIPS 2002: 1611-1618 |
32 | EE | Darrin C. Bentivegna,
Christopher G. Atkeson:
A Framework for Learning from Observation Using Primitives.
RoboCup 2002: 263-270 |
31 | | Stefan Schaal,
Christopher G. Atkeson,
Sethu Vijayakumar:
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning.
Appl. Intell. 17(1): 49-60 (2002) |
30 | | Marcia Riley,
Christopher G. Atkeson:
Robot Catching: Towards Engaging Human-Humanoid Interaction.
Auton. Robots 12(1): 119-128 (2002) |
2001 |
29 | | Darrin C. Bentivegna,
Christopher G. Atkeson:
Learning From Observation Using Primitives.
ICRA 2001: 1988-1993 |
28 | EE | Ales Ude,
Tomohiro Shibata,
Christopher G. Atkeson:
Real-time visual system for interaction with a humanoid robot.
Robotics and Autonomous Systems 37(2-3): 115-125 (2001) |
2000 |
27 | | Ales Ude,
Christopher G. Atkeson,
Marcia Riley:
Planning of Joint Trajectories for Humanoid Robots Using B-Spline Wavelets.
ICRA 2000: 2223-2228 |
26 | | Stefan Schaal,
Christopher G. Atkeson,
Sethu Vijayakumar:
Real-Time Robot Learning with Locally Weighted Statistical Learning.
ICRA 2000: 288-293 |
25 | EE | Christopher G. Atkeson,
Joshua G. Hale,
Frank E. Pollick,
Marcia Riley,
Shinya Kotosaka,
Stefan Schaal,
Tomohiro Shibata,
Gaurav Tevatia,
Ales Ude,
Sethu Vijayakumar,
Mitsuo Kawato:
Using Humanoid Robots to Study Human Behavior.
IEEE Intelligent Systems 15(4): 46-56 (2000) |
1999 |
24 | | Cory D. Kidd,
Robert Orr,
Gregory D. Abowd,
Christopher G. Atkeson,
Irfan A. Essa,
Blair MacIntyre,
Elizabeth D. Mynatt,
Thad Starner,
Wendy Newstetter:
The Aware Home: A Living Laboratory for Ubiquitous Computing Research.
CoBuild 1999: 191-198 |
1998 |
23 | EE | Gregory D. Abowd,
Christopher G. Atkeson,
Jason A. Brotherton,
Tommy Enqvist,
Paul Gulley,
Johan LeMon:
Investigating the Capture, Integration and Access Problem of Ubiquitous Computing in an Educational Setting.
CHI 1998: 440-447 |
22 | | Stefan Schaal,
Christopher G. Atkeson:
Constructive Incremental Learning from Only Local Information.
Neural Computation 10(8): 2047-2084 (1998) |
1997 |
21 | | Christopher G. Atkeson,
Stefan Schaal:
Robot Learning From Demonstration.
ICML 1997: 12-20 |
20 | | Stefan Schaal,
Sethu Vijayakumar,
Christopher G. Atkeson:
Local Dimensionality Reduction.
NIPS 1997 |
19 | | Christopher G. Atkeson:
Nonparametric Model-Based Reinforcement Learning.
NIPS 1997 |
18 | | Christopher G. Atkeson,
Andrew W. Moore,
Stefan Schaal:
Locally Weighted Learning.
Artif. Intell. Rev. 11(1-5): 11-73 (1997) |
17 | | Christopher G. Atkeson,
Andrew W. Moore,
Stefan Schaal:
Locally Weighted Learning for Control.
Artif. Intell. Rev. 11(1-5): 75-113 (1997) |
16 | EE | Gregory D. Abowd,
Christopher G. Atkeson,
Jason I. Hong,
Sue Long,
Rob Kooper,
Mike Pinkerton:
Cyberguide: A mobile context-aware tour guide.
Wireless Networks 3(5): 421-433 (1997) |
1996 |
15 | | Gregory D. Abowd,
Christopher G. Atkeson,
Ami Feinstein,
Cindy E. Hmelo,
Rob Kooper,
Sue Long,
Nitin "Nick" Sawhney,
Mikiya Tani:
Teaching and Learning as Multimedia Authoring: The Classroom 2000 Project.
ACM Multimedia 1996: 187-198 |
14 | EE | Sue Long,
Rob Kooper,
Gregory D. Abowd,
Christopher G. Atkeson:
Rapid Prototyping of Mobile Context-Aware Applications: The Cyberguide Case Study.
MOBICOM 1996: 97-107 |
1995 |
13 | EE | Stefan Schaal,
Christopher G. Atkeson:
From Isolation to Cooperation: An Alternative View of a System of Experts.
NIPS 1995: 605-611 |
12 | | Andrew W. Moore,
Christopher G. Atkeson:
The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces.
Machine Learning 21(3): 199-233 (1995) |
11 | EE | Christopher G. Atkeson,
Stefan Schaal:
Memory-based neural networks for robot learning.
Neurocomputing 9(3): 243-269 (1995) |
1994 |
10 | | Stefan Schaal,
Christopher G. Atkeson:
Memory-Based Robot Learning.
ICRA 1994: 2928-2933 |
1993 |
9 | | Stefan Schaal,
Christopher G. Atkeson:
Open Loop Stable Control Strategies for Robot Juggling.
ICRA (3) 1993: 913-918 |
8 | EE | Thomas G. Dietterich,
Dietrich Wettschereck,
Christopher G. Atkeson,
Andrew W. Moore:
Memory-Based Methods for Regression and Classification.
NIPS 1993: 1165-1166 |
7 | EE | Stefan Schaal,
Christopher G. Atkeson:
Assessing the Quality of Learned Local Models.
NIPS 1993: 160-167 |
6 | EE | Christopher G. Atkeson:
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming.
NIPS 1993: 663-670 |
5 | | Andrew W. Moore,
Christopher G. Atkeson:
Prioritized Sweeping: Reinforcement Learning With Less Data and Less Time.
Machine Learning 13: 103-130 (1993) |
1992 |
4 | EE | Andrew W. Moore,
Christopher G. Atkeson:
Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping.
NIPS 1992: 263-270 |
1991 |
3 | EE | Ying Zhao,
Christopher G. Atkeson:
Some Approximation Properties of Projection Pursuit Learning Networks.
NIPS 1991: 936-943 |
1990 |
2 | EE | Sherif M. Botros,
Christopher G. Atkeson:
Generalization Properties of Radial Basis Functions.
NIPS 1990: 707-713 |
1989 |
1 | EE | Christopher G. Atkeson:
Using Local Models to Control Movement.
NIPS 1989: 316-323 |