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Monroe Kennedy III

Monroe Kennedy III

Assistant Professor
PhD, University of Pennsylvania, Mechanical Engineering and Applied Mechanics (2019)
MS, University of Pennsylvania, Robotics (2016)
BS, University of Maryland, Baltimore County, Mechanical Engineering (2012)

Monroe Kennedy III is an Assistant Professor of Mechanical Engineering. He received his PhD in Mechanical Engineering and Applied Mechanics, and a Masters in Robotics from the University of Pennsylvania where he was a recipient of both the NSF and GEM graduate research fellowships. His area of expertise is in robotics, specifically the development of theoretical and experimental approaches to perform control and estimation for robotic systems, in particular, robotic manipulation and human-robot collaborative tasks. He applies expertise in dynamical systems analysis, control theory (classical, non-linear and robust control), state estimation and prediction, motion planning, vision for robotic autonomy and machine learning.

He is the director of the Assistive Robotics and Manipulation Lab (ARMLab) whose broad research objective is to develop technology that improves everyday life by anticipating and acting on the needs of human counterparts. ARMLab specializes in developing intelligent robotic systems that can perceive and model environments, humans and tasks and leverage these models to predict system processes and understand their assistive role. The research can be divided into the following sub-categories: robotic assistants, connected devices and intelligent wearables. ARMLab research requires the use of a combination of tools in dynamical systems analysis, control theory (classical, non-linear and robust control), state estimation and prediction, motion planning, vision for robotic autonomy and machine learning. ARMLab focuses heavily on both the analytical and experimental components of assistive technology design. While the application area domain is autonomous assistive technology, the primary focus is robotic assistants (mobile manipulators and humanoids) with the goal of deployment for service tasks that may be highly dynamic and require dexterity, situational awareness, and human-robot collaboration.