Thursday, February 2nd
|
Rehabilitation
Robotics Allison M. Okamura, PhD &
David L. Jaffe, MS Stanford University -
Mechanical Engineering Department - Design Group |
Abstract: Dave will provide a history
of assistive rehabilitation robots and in particular describe the prior
robotics-related work at the VA Palo Alto Rehabilitation R&D Center.
Allison will discuss therapy robots and the use of robots to perform brain
science. She will describe the evolution of therapy robotics for stroke
rehabilitation, as well as her recent work (in collaboration with former
student David Grow and Neuroscientist Amy Bastian at Johns Hopkins University
and the Kennedy Krieger Institute) on using an exoskeleton robot to analyze and
affect the movements of patients with damage to the cerebellum. These
presentations include material provided by Machiel Van der Loos at the
University of British Columbia.
Biosketch: Allison M. Okamura received
the BS degree from the University of California at Berkeley in 1994, and the MS
and PhD degrees from Stanford University in 1996 and 2000, respectively, all in
mechanical engineering. She is currently Associate Professor in the mechanical
engineering department at Stanford University. She was previously Professor and
Vice Chair of mechanical engineering at Johns Hopkins University. She has been
an associate editor of the IEEE Transactions on Haptics, an editor of the IEEE
International Conference on Robotics and Automation Conference Editorial Board,
and co-chair of the IEEE Haptics Symposium. Her awards include the 2009 IEEE
Technical Committee on Haptics Early Career Award, the 2005 IEEE Robotics and
Automation Society Early Academic Career Award, and the 2004 NSF CAREER Award.
She is an IEEE Fellow. Her interests include haptics, teleoperation, virtual
environments and simulators, medical robotics, neuromechanics and
rehabilitation, prosthetics, and engineering education.
- Contact information:
- Prof. Allison M. Okamura
- Mechanical Engineering Department - Design
Group
- Stanford University
- Building 550, Room 115
- 416 Escondido Mall
- Stanford
CA 94305-4021
- aokamura -at- stanford.edu
- Collaborative Haptics and Robotics in
Medicine (CHARMlab)
- Lecture Material:
- Allison's
Slides - 9.8 Mb pdf file
- Audio
- 1:22:18 - (starting at 46:00) 18.8 Mb mp3 file
- Links:
- The
Collaborative Advanced Robotics and Intelligent Systems Laboratory
(UBC)
- Kennedy
Krieger Institute Motion Analysis Laboratory
- Medical
and Health-care Robotics
Biosketch: David L. Jaffe holds a BS
degree in Electrical Engineering from the University of Michigan and a MS
degree in Biomedical Engineering from Northwestern University.
Prior to coming to Stanford, he was a
Research Biomedical Engineer at the VA Palo Alto Health Care System's
Rehabilitation Research and Development Center. At the VA his interests were
designing, developing, testing, and bringing to market microcomputer-based
devices for veterans with disabilities including communication, mobility, and
information systems. He has worked on several VA assistive technology research
projects including an innovative wheelchair interface for individuals with
quadriplegia, an electro-mechanical fingerspelling hand that serves as a
communication device for people who are deaf/blind, a system that explores
virtual reality techniques to train individuals with gait deficits to improve
their walking, and a project that employs a computer-based simulation to assess
and improve the driving ability of individuals after brain injury.
In addition to organizing this course,
ENGR110/210 Perspectives in Assistive Technology, he currently contributes to
the definition of quarterly course projects in ME218 Smart Product Design, is a
project coach in ME113 Mechanical Engineering Design, and mentors students
working on assistive technology projects.
- Contact information:
- Stanford University
- Mechanical Engineering Department - Design
Group
- 416 Escondido Mall, Room 113
- Peterson Building - Building
550
- Stanford,
CA 94305-4021
- Lecture Material:
- Dave's Slides
- 1.3 Mb pdf file
- Audio
- 1:22:18 - 18.8 Mb mp3 file
- Links:
|