Robotics, Machine
Learning, and Vision
Selected
Publications
- Robots that
use crowdsourcing to learn (with M. Chung et al., ICRA 2014)
- 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)
Back to the Home Page of Rajesh
Rao