Faculty Directory
Kevin Lynch

Chair and Professor of Mechanical Engineering

Contact

2145 Sheridan Road
Tech B222
Evanston, IL 60208-3109

847-467-5451Email Kevin Lynch

Website

Neuroscience and Robotics Lab (NxR)


Departments

Mechanical Engineering

Affiliations

Master of Science in Robotics Program


Download CV

Education

Ph.D. Robotics, Carnegie Mellon University, Pittsburgh, PA

B.S.E. Electrical Engineering (with honors), Princeton University, Princeton, NJ


Research Interests

Motion planning and control for dynamic robotic systems, robotic manipulation, and underactuated systems; assembly and automation; decentralized control of multi-robot systems; and physical human-robot interaction.


Significant Recognition

  • Society of Automotive Engineers Ralph R. Teetor Educational Award, 2007
  • Early Career Award in Robotics and Automation, Institute of Electrical and Electronics Engineers, 2001
  • McCormick School of Engineering and Applied Science Teacher Of The Year Award, 1998-1999
  • NSF Career Award, 1998

Significant Professional Service

  • Senior Editor of IEEE Transactions on Robotics

Selected Publications

  • Bryan Van Scoy, Randy A. Freeman, Kevin M. Lynch, “Exploiting memory in dynamic average consensus”, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015, (2016)
  • Bryan Van Scoy, Randy A. Freeman, Kevin M. Lynch, “Design of robust dynamic average consensus estimators”, Proceedings of the IEEE Conference on Decision and Control, (2016)
  • Jian Shi, J. Zachary Woodruff, Kevin M. Lynch, “Dynamic in-hand sliding manipulation”, IEEE International Conference on Intelligent Robots and Systems, (2015)
  • Bryan Van Scoy, Randy A. Freeman, Kevin M. Lynch, “A fast robust nonlinear dynamic average consensus estimator in discrete time”, IFAC Proceedings Volumes (IFAC-PapersOnline), (2015)
  • , “Embedded Computing and Mechatronics with the PIC32 Microcontroller”, Newnes/Elsevier, (2015)
  • Lynch, Kevin M.; Rosa, Nelson, “Extending equilibria to periodic orbits for walkers using continuation methods”, IEEE International Conference on Intelligent Robots and Systems, (2014)
  • Lynch, Kevin M.; Schearer, Eric M.; Liao, Yu-Wei; Perreault, Eric J.; Tresch, Matthew C., “Identifying inverse human arm dynamics using a robotic testbed”, IEEE International Conference on Intelligent Robots and Systems, (2014)
  • Lynch, Kevin M.; Schearer, Eric M.; Liao, Yu-Wei; Perreault, Eric J.; Tresch, Matthew C., “Multi-muscle FES control of the human arm for interaction tasks - Stabilizing with muscle co-contraction and postural adjustment: A simulation study”, IEEE International Conference on Intelligent Robots and Systems, (2014)

In the Classroom

Professor Lynch has developed the course ME 333 Introduction to Mechatronics to teach students the interdisciplinary fundamentals of interfacing sensors and actuators with a computer. The course attracts students from mechanical engineering, electrical engineering and computer science, biomedical engineering, and other fields. Professor Lynch has also constructed the undergraduate Mechatronics Design Laboratory to support student projects in the design and construction of microprocessor-controlled electromechanical systems. This laboratory supports ME 333 as well as other courses, including ME 224 Experimental Engineering, projects in Engineering Design and Communication, the annual Robot Design Competition (DC), and independent projects.

Professor Lynch has also developed the new graduate courses ME 449 Robotic Manipulation and ME 450 Geometry in Robotics.