Andrew B. Williams, Ph.D.
Professor and John P. Raynor, S.J., Distinguished Chair; Director, Humanoid Engineering & Intelligent Robotics Lab
Office: Engineering Hall 407
E-mail:
andrew.williams@marquette.edu
Phone: (414) 288-7349
FAX: (414) 288-5579
Research interests
- humanoid robotics and AI
- cooperative autonomous systems
- multi-agent systems learning
- healthcare robotics
- intelligent humanoid coaches
- computing and STEM education
Professional preparation
Ph.D. 1999, Electrical Engineering, University of Kansas
M.S., 1995, Electrical & Computer Engineering, Marquette University
B.S., 1988, Electrical Engineering, University of Kansas
Selected recent publications
“Towards Creative Humanoid Conceptualization Learning from Metaphor-Guided Pretense Play”, Creativity and (Early) Cognitive Development: A Perspective from Artificial Creativity, Developmental AI, and Robotics, AAAI 2013 Spring Symposium, Stanford University, AAAI Press, pp. 79-83, 2013.
“Sequential Auctions for Heterogeneous Task Allocations” (with G.T. Thomas) IEEE International Conference on Systems, Man, & Cybernetics, 2009.
Out of the Box: Building Robots, Transforming Lives (with E. Gilbreath), Moody Publishers and Institute for Black Family Development, Chicago, 2009.
“IDOCS: Intelligent Distributed Ontology Consensus System - The Use of Machine Learning in Retinal Drusen Phenotyping,” (with G. Thomas, M.A. Grassi, J.R. Lee, A.O. Edwards, M.B. Gorin, R., Klein, T.L. Casavant, T.E. Scheetz, E.M. Stone), Investigative Ophthalmology and Visual Sciences, 2007.
“Learning to Share Meaning in a Multi-Agent System” J. of Autonomous Agents and Multi-Agent Systems, vol. 8, no. 2, 165-193, 2004.
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