Robotics, Machine Learning, and Vision
Selected Publications
- Imitation Learning with
Hierarchical Actions (A. Friesen and R. Rao, IEEE International
Conference on Development and Learning, 2010)
- Learning
to Imitate Human Actions through Eigenposes (with R. Chalodhorn, in From
Motor Learning to Interaction Learning in Robots, 357-381, 2010)
- Learning
Actions through Imitation and Exploration: Towards Humanoid Robots That
Learn from Humans (with D. Grimes, in Creating Brain-Like Intelligence,
103-138, 2009)
- Large margin
Boltzmann machines (with X. Miao, Proceedings of the International
Joint Conference on Artificial Intelligence (IJCAI'09), 1156-1162,
2009)
- Learning
nonparametric policies by imitation (with D. Grimes, Proceedings of
the 2008 IEEE International Conference on Intelligent Robots and Systems
(IROS), 2008)
- Learning
full-body motions from monocular vision: Dynamic imitation in a humanoid
robot (with J. Cole and D. Grimes, Proceedings of the 2007 IEEE/RSJ
International Conference on Intelligent Robots and Systems (IROS),
240-246, 2007)
- Learning
to walk through imitation (with R. Chalodhorn et al., Proceedings
of the International Joint Conference on Artificial Intelligence
(IJCAI'07), 2084-2090, 2007)
- Imitation
learning using graphical models (with D. Verma, Proceedings of the
2007 European Conference on Machine Learning (ECML), 757-764, 2007)
- Towards
a real-time Bayesian imitation system for a humanoid robot (with A.
Shon and J. Storz, Proceedings of the 2007 International Conference on
Robotics and Automation (ICRA), 2847-2852, 2007)
- Active
imitation learning (with A. Shon and D. Verma, Proceedings of the
2007 Conference of the American Association for Artificial Intelligence
(AAAI), 756-762, 2007)
- Learning
nonparametric models for probabilistic imitation (with D. Grimes and
D. Rashid, Advances in Neural Information Processing Systems 19
(NIPS'06), 521-528, 2007)
- Learning
the Lie groups of visual invariance (with X. Miao, Neural
Computation, 19(10):2665-2693, 2007)
- Planning and
acting in uncertain environments using probabilistic inference (with
D. Verma, Proceedings of IEEE/RSJ Int. Conf. on Intelligent Robots and
Systems (IROS), 2006)
- Dynamic imitation
in a humanoid robot through nonparametric probabilistic inference
(with Grimes and Chalodhorn, Proceedings of the 2006 Robotics Science
and Systems Conference, 2006)
- A
probabilistic model of gaze imitation and shared attention (with
Hoffman et al., Neural Networks 19(3):299-310, 2006)
- Learning Dynamic Humanoid
Motion using Predictive Control in Low Dimensional Subspaces, Chalodhorn,
R., Grimes, D. B., Maganis, G. and Rao, R. P. N., Proceeding of the IEEE-RAS/RSJ
International Conference on Humanoid Robots, Dec 2005 (Humanoids
2005)
- Learning Humanoid Motion
Dynamics through Sensory-Motor Mapping in Reduced Dimensional Spaces,
Chalodhorn, R., Grimes, D. B., Maganis, G., Rao, R. P. N., and Asada, M., Proceeding
of the IEEE International Conference on
Robotics and Automation, May 2006 (ICRA 2006)
- Goal-based
imitation as probabilistic inference over graphical models (Advances
in NIPS 18, 2006)
- Learning
shared latent structure for image synthesis and robotic imitation (Advances
in NIPS 18, 2006)
- Bilinear
sparse coding for invariant vision (with D. Grimes, Neural
Computation, 17(1), 47-73, 2005)
- Graphical
models for planning and imitation (with D. Verma, Technical Report
2005-02-01, February 2005)
- A probabilistic framework
for model-based imitation learning (with A. Shon, D. Grimes, and C. Baker,
Proceedings of the 26th Annual Meeting of the Cognitive Science Society,
2004)
- Probabilistic
bilinear models for appearance-based vision (with David Grimes and
Aaron Shon, Proc. of ICCV'03, 2003)
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Rao