Faculty Directory
Kevin Lynch

Professor of Mechanical Engineering

Director, Center for Robotics and Biosystems

Contact

2145 Sheridan Road
Tech A290
Evanston, IL 60208-3109

847-467-5451Email Kevin Lynch

Website

Center for Robotics and Biosystems


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; physical human-robot interaction.


Significant Recognition

  • 2022 George Saridis Leadership Award in Robotics and Automation
  • Harashima Award for Innovative Technologies, 2017
  • IEEE Fellow, 2010
  • Charles Deering McCormick Professor of Teaching Excellence, 2007-10
  • 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

  • Editor-in-Chief, IEEE Transactions on Robotics

Selected Publications

  • Fernandez, Alfonso J.; Weng, Huan; Umbanhowar, Paul B.; Lynch, Kevin M., Visiflex, IEEE Robotics and Automation Letters 6(2):3009-3016.
  • Ridgley, Israel L.Donato; Freeman, Randy A.; Freeman, Randy A.; Lynch, Kevin M.; Lynch, Kevin M., Private and Hot-Pluggable Distributed Averaging, IEEE Control Systems Letters 4(4):988-993.
  • Shi, Jian; Weng, Huan; Lynch, Kevin M., In-Hand Sliding Regrasp with Spring-Sliding Compliance and External Constraints, IEEE Access 8:88729-88744.
  • Lynch, Daniel J.; Lynch, Kevin M.; Umbanhowar, Paul B., The Soft-Landing Problem, IEEE Robotics and Automation Letters 5(2):3658-3665.
  • Lombana, Daniel Alberto Burbano; Freeman, Randy A.; Lynch, Kevin, Distributed Inference of the Multiplex Network Topology of Complex Systems, IEEE Transactions on Control of Network Systems 7(1):278-287.
  • Elwin, Matthew L.; Freeman, Randy A.; Lynch, Kevin M., Distributed Environmental Monitoring with Finite Element Robots, IEEE Transactions on Robotics 36(2):380-398.
  • Burbano Lombana, Daniel Alberto; Freeman, Randy A.; Lynch, Kevin M., Discovering the topology of complex networks via adaptive estimators, Chaos 29(8).
  • Kia, Solmaz S.; Van Scoy, Bryan; Cortes, Jorge; Freeman, Randy A.; Lynch, Kevin M.; Martinez, Sonia, Tutorial on Dynamic Average Consensus, IEEE Control Systems 39(3):40-72.
  • Von Scoy, Bryan; Freeman, Randy A.; Lynch, Kevin M., The fastest known globally convergent first-order method for minimizing strongly convex functions, IEEE Control Systems Letters 2(1):49-54.
  • Burbano-L, Daniel A.; Freeman, Randy; Lynch, Kevin, Inferring the network topology of interconnected nonlinear units with diffusive couplings, Institute of Electrical and Electronics Engineers Inc.:3398-3403.
  • Elwin, Matthew; Freeman, Randy A; Lynch, Kevin M, Distributed Voronoi Neighbor Identification From Inter-Robot Distances, IEEE:1320-1327.
  • Woodruff, J. Zachary; Lynch, Kevin M., Planning and control for dynamic, nonprehensile, and hybrid manipulation tasks, Institute of Electrical and Electronics Engineers Inc.:4066-4073.
  • Schearer, Eric M.; Liao, Yu Wei; Perreault, Eric J.; Tresch, Matthew C.; Memberg, William D.; Kirsch, Robert F.; Lynch, Kevin M., Semiparametric Identification of Human Arm Dynamics for Flexible Control of a Functional Electrical Stimulation Neuroprosthesis, IEEE Transactions on Neural Systems and Rehabilitation Engineering 24(12):1405-1415.
  • Shi, Jian; Woodruff, J. Zachary; Lynch, Kevin M, Dynamic in-hand sliding manipulation, Institute of Electrical and Electronics Engineers Inc.:870-877.

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.


Kevin Lynch in the News