Michelle Jillian Johnson, PhD

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Assistant Professor of Physical Medicine and Rehabilitation
Department: Physical Medicine and Rehabilitation

Contact information
Department of Physical Medicine and Rehabilitation
1800 Lombard Street, 1st Floor, Office 9
Philadelphia, PA 19146
Office: 215 893-2665
Fax: 215 893-2686
Lab: 215 893-2695
BS (Mechanical Engineering and Applied Mechanics)
University of Pennsylvania, 1990.
MS (Mechanical Engineering (Emphasis in Robot Mechanical System)
University of California, Irvine, 1994.
PhD (Mechanical Engineering (Emphasis in Robotics, Design, Controls and Mechatronics)
Stanford University, 2002.
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Description of Research Expertise

My research is mainly in the area of robot-mediated rehabilitation. I am focused on the investigation and rehabilitation of dysfunction due to aging, neural disease, and neural injury. I am particularly interested in 1) exploring the relationships between brain plasticity and behavioral/motor control changes after robot-assisted interventions; 2)quantifying motor impairment and motor control of the upper limb in real world tasks such as drinking; and 3) defining the methods to maintain therapeutic effectiveness while administering local and remote, robot-mediated interventions.

I direct the Rehabilitation Robotics Lab. This is a new Lab within the Department of Physical, Medicine, and Rehabilitation in the Perelman School of Medicine. The Rehabilitation Robotics Lab mission is to use robotics,rehabilitation,and neuroscience techniques to translate research findings into the development of assistive and therapeutic rehabilitation robots capable of functioning in real-world rehabilitation environments. Our goal is to improve the quality of life and function on activities of daily living (ADLs) of our target population in supervised or under-supervised settings.

Keywords (in alphabetical order): Brain Plasticity, Design, Controls, Motor Control, Robotics, Rehabilitation, Stroke, Therapy, Upper Limb

Selected Publications

Johnson MJ, Johnson MA, Sefcik JS, Cacchione PZ, Mucchiani C, Lau T,Yim M: Task and Design Requirements for an Affordable Mobile Service Robot for Elder Care in an All-Inclusive Care for Elders Assisted-Living Setting. International Journal of Social Robots. Springer, Page: 1– 20, November 2017 Notes: DOI 10.1007/s12369-017-0436-5.

Mucchiani C, Sharma S, Johnson M, Sefcik J, Vivio N, Huang J, Cacchione P, Johnson M, Rai R, Canoso A, Lau T. : Evaluating older adults’ interaction with a mobile assistive robot. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS IEEE/RSJ, October 2017.

Sefcik JS, Johnson MJ, Yim M, Lau T, Vivio N, Mucchiani C, Cacchione PZ: Stakeholders’ perceptions inform the development of a low-cost mobile robot for older adults. Clinical Nursing Research. SAGE Publications Inc, Page: 1– 20, September 2017 Notes: https://doi.org/10.1177/1054773817730517

Mohan M, Mendonca R, Johnson MJ: Towards Quantifying Dynamic Human-Human Physical Interactions for Robot Assisted Stroke Therapy. IEEE International Conference on Rehabilitation Robotics,Conference Proceedings, London, UK July 2017.

Bui, KB, Rai R, Johnson MJ: Using Upper Limb Kinematics to Assess Cognitive Deficits in People Living with Both HIV and Stroke. IEEE International Conference on Rehabilitation Robotics (ICORR), Conference Proceedings, London, UK July 2017.

Goyal V, Torres W, Rai R, Shofer F, Bogen D, Bryant P, Prosser L, Johnson MJ: Quantifying infant physical and cognitive interactions using sensorized toys in a natural play environment IEEE International Conference on Rehabilitation Robotics (ICORR), Conference Proceedings, London, UK July 2017.

Shreyas S. Shivakumar, Helen Loeb, Daniel K. Bogen, Frances Shofer, Phillip Bryant, Laura Prosser and Michelle J. Johnson: Stereo 3D Tracking of Infants in Natural Play Conditions. IEEE International Conference on Rehabilitation Robotics (ICORR), Conference Proceedings, London, UK July 2017.

Michelle Johnson, Mayumi Mohan, Rochelle Mendonca: Analyzing Patient-Therapist Physical Interactions in Occupational Therapy: Understanding Intent and Identifying Metrics. Good Shepherd Penn Partners Research Day, Philadelphia, PA, June 8 June 2017.

Johnson MJ, Mohan M, Mendonca R: A stimulus-response model of therapist-patient interactions in task-oriented stroke therapy can guide robot-patient interactions Rehabilitation Engineering Society of North America (RESNA) Conference, New Orleans, LA, June 26-30 June 2017.

Bui K, Rai R, Johnson MJ : Using Neuroimaging and Rehabilitation Robotics to Better Understand HIV-Associated Stroke: A Case Study Good Shepherd Penn Partners Research Day June 2017.

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Last updated: 01/19/2018
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