Monroe Kennedy III

Bio

Monroe Kennedy III is an Assistant Professor of Mechanical Engineering, with a courtesy appointment in Computer Science. He is the recipient of the NSF Career Award. He received his Ph.D. 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 collaborative robotics, specifically the development of theoretical and experimental approaches to enhance robotic autonomy and robotic effectiveness in decentralized tasks towards human-robot collaboration. 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, teammate intent estimation, 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, teammate intent estimation, and machine learning. ARMLab focuses heavily on both the analytical and experimental components of collaborative robotics. Research applications include autonomous assistive technology, 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.

Academic Appointments

• Assistant Professor, Mechanical Engineering
• Assistant Professor (By courtesy), Computer Science
• Member, Bio-X
• Faculty Affiliate, Institute for Human-Centered Artificial Intelligence (HAI)
• Member, Wu Tsai Human Performance Alliance

Honors & Awards

• Faculty Early Career Award, National Science Foundation (February 24, 2022)
• Graduate Research Fellowship, National Science Foundation (2013-2018)

Boards, Advisory Committees, Professional Organizations

• Member, American Society of Mechanical Engineers (2015 - Present)
• Member, Institute of Electrical and Electronics Engineers (2016 - Present)

Program Affiliations

• Center for Automotive Research at Stanford (CARS)
• Stanford SystemX Alliance

Professional Education

• 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)

Community and International Work

• National Director for Black in Robotics

  Topic

  Increasing engagement of underrepresented minorities in robotics

  Partnering Organization(s)

  Black in Robotics

  Populations Served

  High school, college and academic/industry professionals

  Location

  International

  Ongoing Project

  Yes

  Opportunities for Student Involvement

  No

2021-22 Courses

• Advanced Dynamics, Controls and System Identification
  ME 334 (Spr)
• Collaborative Robotics
  ME 326 (Win)
• Dynamics
  ENGR 15 (Aut)
• Independent Studies (8)
  • Engineering Problems
    ME 391 (Aut, Win, Spr, Sum)
  • Engineering Problems and Experimental Investigation
    ME 191 (Win, Spr)
  • Experimental Investigation of Engineering Problems
    ME 392 (Aut, Win, Sum)
  • Ph.D. Research Rotation
    ME 398 (Aut, Win, Spr, Sum)
  • Ph.D. Teaching Experience
    ME 491 (Aut, Win, Spr, Sum)
  • Practical Training
    ME 299A (Sum)
  • Problems in Aero/Astro
    AA 290 (Aut, Win, Spr)
  • Problems in Aero/Astro
    AA 290S (Sum)
• Prior Year Courses

  2020-21 Courses

  • Advanced Dynamics, Controls and System Identification
    ME 334 (Spr)
  • Dynamics
    ENGR 15 (Aut)

  2019-20 Courses

  • Advanced Dynamics, Controls and System Identification
    ME 334 (Spr)

Stanford Advisees

• Doctoral Dissertation Reader (AC)
  Michael Lin, Marsie Peterson, Adrian Piedra, Gadi Sznaier Camps, Maneekwan Toyungyernsub
• Orals Chair
  Brian Axelrod
• Doctoral Dissertation Advisor (AC)
  Eley Ng, Aliyah Smith
• Master's Program Advisor
  Aaron Brown, Nico Carballal, Afshan Chandani, Catherine Chen, Blake Jones, Derek Knowles, Tom Liang, Tianheng Shi, Peter Shih
• Doctoral Dissertation Co-Advisor (AC)
  Derek Knowles, Alvin Sun, Maneekwan Toyungyernsub
• Doctoral (Program)
  Nicholas Broadbent, William Chong, Won Kyung Do, Aaron Garza, Shivani Guptasarma, Eley Ng