Research Interests The SLMC group has a broad and highly inter-disciplinary research agenda spanning statistical machine learning, formal learning theory, learning in connectionist systems (artificial and biological); robotic, humanoid and biological motor control, adaptive/learning control; and multimodal cue integration and attentional strategies.
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Software Some of our work has resulted in software packages that may be useful to other researchers or practitioners. |
Publications An up-to-date publication list can be found here.
Some of the topics of recent interest are listed below (with links to
papers).
Real Time Learning for Robot Control & High Dimensional Systems (papers) Dimensionality Reduction (papers) Multimodal Learning and Cue Integration Haptic Discrimination: Encoding and Decoding Strategies |