590NC Presentation List
||Introduction and organizational discussion
||Introduction to motor learning
||Introduction to forward and inverse models
||Computational approaches to motor control
||Robotic Imitation Learning
||Learning Motor Skills by Imitation
||Invited Lecture: Imitation Learning in Infants
||Andy Meltzoff (CMBL)
||Architectures for learning internal models
||Evidence for Internal Models
||No Class due to NIPS conference
Location: We meet in Mary Gates 278 every Tuesday from 1:30 to 2:50 PM.
Tentative list of papers (alphabetically by first author):
Head back to the 590NC course web page
- Learning of Oculo-Motor Control: a Prelude to Robotic Imitation. L. Berthouze, P. Bakker and Y. Kuniyoshi. In Proc. IEEE/RSJ IROS'96, volume 1, pages 376-381, 1996.
- Learning motor skills by imitation: a biologically inspired robotic model. A. Billard. Cybern. and Systems 32:155-193, 2001.
- Predicting the consequences of our own actions: the role of sensorimotor context estimation. S.J. Blakemore, S.J. Goodbody, and D.M. Wolpert. J. Neurosci. 18(18): 7511-7518, 1998.
- On the recognition of abstract Markov policies. H.H. Bui, S. Venkatesh, and G. West. Seventeenth National Conference on Artificial Intelligence (AAAI-2000). Austin, Texas, August 2000
- Imitation as a dual-route process featuring predictive and learning components: a biologically-plausible computational model. Y. Demiris and G. Hayes. Chapter 13 in Imitation in Animals and Artifacts, K. Dautenhahn and C. Nehaniv (eds.), MIT Press, 2002 (in press).
- Perceptuo-Motor Primitives in Imitation. J. Demiris and M.J. Mataric. In Working Notes, Agents '98, 1998.
- Modular decomposition in visuomotor learning. Z. Ghahramani and D.M. Wolpert. Nature 386:392-395, 1997.
- MOSAIC Model for Sensorimotor Learning and Control. M. Haruno, D.M. Wolpert, and M. Kawato. Neural Comp. 13, 2201-2220, 2001.
- Computational aspects of motor control and motor learning. M.I. Jordan. In H. Heuer and S. Keele (eds.), Handbook of Perception and Action: Motor Skills. New York: Academic Press, 1996.
- Modular and hierarchical learning systems. M.I. Jordan and R.A. Jacobs. In M. Arbib (ed.), The Handbook of Brain Theory and Neural Networks. Cambridge, MA: MIT Press, 1995.
- Forward models: Supervised learning with a distal teacher. M.I. Jordan and D.E. Rumelhart. Cognitive Science 16, 307-354, 1992.
- Internal models for motor control and trajectory planning. M. Kawato. Current Opinions in Neurobiology 9:718-727, 1999.
- Born to Learn: What Infants Learn from Watching Us. A.N. Meltzoff. In N. Fox and J.G. Worhol (eds.), The Role of Early Experience in Infant Development. Skillman , NJ: Pediatric Inst. Publications, 1999.
- Forward models for physiological motor control. R.C. Miall and D.M. Wolpert. Neural Networks 9(8):1265-1279, 1996.
- Intermediate motor learning as decreasing active (dynamical) degrees of freedom. S. Mitra, P.G. Amazeen, and M.T. Turvey. Human Movement Science 17: 17-65, 1998.
- Dynamics of effortful touch and interlimb coordination. M.T. Turvey. J. Biomechanics 31: 873-882, 1998.
- Computational approaches to motor control. D.M. Wolpert. Trends in Cog. Sci. 1(6):209-216, 1997.
- Perspectives and problems in motor learning. D.M. Wolpert, Z. Ghahramani, and J.R. Flanagan. Trends Cog. Sci. 5(11):487-494, 2001.
- An internal model for sensorimotor integration. D.M. Wolpert, Z. Ghahramani and M.I. Jordan. Science 269:1880-1882.