Wyatt Newman

Department of Electrical Engineering and Computer Science
Case School of Engineering

Research Information

Research Interests

Mechatronics, high-speed robot design, force- and vision-based machine control, artificial reflexes for autonomous machines, rapid prototyping, agile manufacturing, mobile robotic platforms


Marvel, J.A. and Newman, W.S., Model Assisted Stochastic Learning for Robotic Applications, IEEE Trans. Automation Science and Engineering, 2011, 8(4), pp 835-845.

Buckmaster, D.J. and Newman, W.S., Stirling Duplex System Modeling for Control System Analysis, 2012 International Energy Conversion Engineering Conference, San Diego, June, 2011.

Buckmaster, D.J. and Newman, W.S., Analysis of a Stirling-Cycle Power Convertor for Domestic Combined Heat and Power, IEEE Energytech2012, May, 2011.

Marvel, Jeremy A., and Wyatt S. Newman. Assessing Internal Models for Faster Learning of Robotic Assemblies, IEEE International Conference on Robotics and Automation 2010.

Hudson, R.E. and Newman, W.S., Independent Component Analysis and Bayes’ Theorem for Robotics and Automation IEEE Int. Conf. Robotics and Automation 2010.

Marvel, Jeremy, Richard Hudson, and Wyatt Newman.  Modeling and Training Radial Basis Functions with Integrate-and-Fire Neurons.  Proceedings of the IEEE International Conference on Machine Learning and Applications.  12-14 December, 2010.

Marvel, Jeremy A., and Wyatt S. Newman. Accelerating Robotic Assembly Parameter Optimization Through the Generation of Internal Models, Proceedings of the IEEE International Conference on Technologies for Practical Robot Applications. 9-10 November, 2009. Pp. 42-47.Marvel, Jeremy A., and

Wyatt S. Newman. Internal Model Generation for Evolutionary Acceleration of Automated Robotic Assembly Optimization, Proceedings of the Performance Metrics for Intelligent Systems (PerMIS) 2009 Workshop. 21-23 September, 2009.

Marvel, J.A., W.S. Newman, D.P. Gravel, G. Zhang, J. Wang, and T. Fuhlbrigge. Automated Learning for Parameter Optimization of Robotic Assembly Tasks Utilizing Genetic Algorithms, Proceedings of the 2008 IEEE International Conference on Robotics and Biomimetics. 21-26 February, 2009. Pp. 179-184.

David J. Buckmaster,  Wyatt S. Newman and Steven J. Somes, Compliant Motion Control for Robust Robotic Surface Finishing, 7th World Congress on Intelligent Control and Automation, Chongqing, China, June, 2008.

Newman, W., Quinn, R., Team Case and the 2007 DARPA Urban Challenge, 4th Int. Symp. On Adaptive Motion of Animals and Machines, CWRU, June, 2008.

Somes, S.D.; Buckmaster, D.J.; Newman, W.S.; Overcoming Traditional Automation Limitations Through Compliant Control and Contact Sensing, Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on, 22-25 Sept. 2007 Page(s):295 – 299.

D. Buckmaster, S. Somes, W. Newman, Process Control for Robotic Surface Finishing, 2007 IEEE Int. Conf. Rob. Auto. Video proceedings.


Mechanical Engineering
Massachusetts Inst. of Tech
Columbia University
Massachusetts Institute of Technology
Engineering Science
Harvard College