Faculty Directory
Kevin Lynch

Chair and Professor of Mechanical Engineering


2145 Sheridan Road
Tech B222
Evanston, IL 60208-3109

847-467-5451Email Kevin Lynch


Neuroscience and Robotics Lab (NxR)


Mechanical Engineering


Master of Science in Robotics Program

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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

  • Jemin George, Matthew L. Elwin, Randy A. Freeman, Kevin M. Lynch, “Distributed Fault Detection and Accommodation in Dynamic Average Consensus”, 2018 Annual American Control Conference, ACC 2018, (2018)
  • Daniel A. Burbano-L, Randy Freeman, Kevin Lynch, “Inferring the network topology of interconnected nonlinear units with diffusive couplings”, 2018 Annual American Control Conference, ACC 2018, (2018)
  • Bryan Van Scoy, Randy A Freeman, Kevin M Lynch, “The Fastest Known Globally Convergent First-Order Method for Minimizing Strongly Convex Functions”, IEEE Control Systems Letters , (2018)
  • Kevin M Lynch, “Modern Robotics - Mechanics, Planning, and Control”, , (2017)
  • Kevin M Lynch, Frank C. Park, “Modern Robotics”, , (2017)
  • Matthew L. Elwin, Randy A Freeman, Kevin M Lynch, “Distributed Voronoi Neighbor Identification From Inter-Robot Distances”, IEEE Robotics and Automation Letters, (2017)
  • Jemin George, Randy A. Freeman, Kevin M. Lynch, “Robust dynamic average consensus algorithm for signals with bounded derivatives”, 2017 American Control Conference, ACC 2017, (2017)
  • , “Modern Robotics: Mechanics, Planning, and Control”, Cambridge University Press, (2017)

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.