DANG AT cs.brown.edu
CV PGP
Projects:
Publications:
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Daniel Byers, Micah Lapping-Carr, Julie Kumar, Theodora Hinkle, Daniel
Grollman, and Odest Chadwicke Jenkins.
Hri caught on film 2.
In Christoph Bartneck, editor, HRI '08: Proceedings of the 3rd
ACM/IEEE international conference on Human robot interaction, pages
383-388, New York, NY, USA, 2008. ACM.
[ bib |
video ]
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Daniel H Grollman and Odest Chadwicke Jenkins.
Sparse incremental learning for interactive robot control policy
estimation.
In IEEE International Conference on Robotics and Automation,
Pasadena, CA, USA, May 2008.
[ bib |
slides |
poster |
text ]
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Micah Lapping-Carr, Odest Chadwicke Jenkins, Daniel H Grollman, Jonas N
Schwertfeger, and Theodora R Hinkle.
Wiimote interfaces for lifelong robot learning.
In AAAI Spring Symposium, Menlo Park, CA, USA, March 2008.
[ bib |
text ]
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Daniel H Grollman and Odest Chadwicke Jenkins.
(machine) learning robot control policies.
In NIPS Workshop on Robotics Challenges for Machine Learning,
Whistler, BC, CAN, December 2007.
[ bib |
poster |
text ]
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Daniel H Grollman and Odest Chadwicke Jenkins.
Learning robot soccer from demonstration: Ball grasping.
In Robotics: Science and Systems - Robot Manipulation: Sensing
and Adapting to the Real World, Atlanta, GA, USA, June 2007.
[ bib |
poster |
text ]
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Daniel H Grollman and Odest Chadwicke Jenkins.
Learning robot soccer skills from demonstration.
In IEEE International Conference on Development and Learning,
London, UK, July 2007.
[ bib |
teaser |
poster |
text ]
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Daniel H Grollman and Odest Chadwicke Jenkins.
Dogged learning for robots.
In IEEE International Conference on Robotics and Automation,
Rome, Italy, April 2007.
[ bib |
video |
slides |
text ]
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Daniel H. Grollman, Odest Chadwicke Jenkins, and Frank Wood.
Discovering natural kinds of robot sensory experiences in
unstructured environments.
Journal of Field Robotics, 23(11-12):1077-1089, Nov-Dec 2006.
[ bib |
text |
http ]
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Daniel H. Grollman, Odest Chadwicke Jenkins, and Frank Wood.
Discovering natural kinds of robot sensory experiences in
unstructured environments.
In North East Student Colloquium on Artificial Intelligence,
Ithica, NY, USA, April 2006.
[ bib |
slides |
text ]
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Daniel H. Grollman, Odest Chadwicke Jenkins, and Frank Wood.
Discovering natural kinds of robot sensory experiences in
unstructured environments.
In NIPS Workshop Machine Learning Based Robotics in Unstructured
Environments., Whistler, BC, CAN, December 2005.
[ bib |
slides |
text ]
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Carsten Magerkurth, Time Engelke, and Dan Grollman.
A component based architecture for distributed, pervasive gaming
applications.
In ACM SIGCHI International Conference on Advances in Computer
Entertainment Technology, Hollywood, CA, USA, June 2006.
[ bib |
text ]
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Daniel H Grollman, Odest Chadwicke Jenkins, and Frank Wood.
Extensible data-driven classification of robot sensor data.
Technical report, Brown University Department of Computer Science,
2005.
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poster |
text |
.html ]
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David Eigen, Daniel Grollman, David Laidlaw, Benjamin Greenberg, and Erin
Einbinder.
Visualizing deep brain stimulation settings in obsessive
compulsive disorder.
In International Conference on Computer Graphics and Interactive
Techniques, page 110, Los Angeles, California, 2004.
[ bib |
text ]
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Stuart Andrews, Lijuan Cai, David Gondek, Amy Greenwald, Daniel Grollman,
Arni Mar Jonsson, Keith Hall, Matthew Lease, Bryant Ng, John Raiti, Victoria
Sweetser, and Jenine Turner.
Astrology: The study of astro teller.
In International Conference on Machine Learning Physiological
Modeling Contest, 2004.
[ bib |
text |
.html ]
Other Presentations:
Media:
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Goodman L., Fasten L.(photo)
Let's Make a Game.
Brown Alumni Magazine July/Aug 2006
[text |
link]
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Robocup
Toonami
[vid]
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Learning Autonomous Robot Control from Demonstration.
Conduit Volume 15, no. 1, pp. 4-5, spring 2006.
[text]
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Grollman, D.
Robert Redford is (like) a robot
Conduit
Volume 14, no. 1, pp. 21-22, spring 2005.
[text]
Files: