Autonomous Mobile Manipulation for the Motor Impaired
Mauldin Auditorium (NSH 1305)
Time: 3:30 to 4:30 pm
For millions of people on a daily basis, motor impairments diminish
quality of life, reduce independence, and increase healthcare costs.
Assistive robots that autonomously manipulate objects within everyday
settings offer the potential to improve the lives of the elderly,
injured, and disabled by augmenting their abilities with those of a
cooperative robot. Within this talk, I will give an overview of my
lab's research on autonomous mobile manipulation for people with motor
impairments, which has resulted in EL-E, a prototype mobile
manipulator capable of performing a variety of assistive manipulation
tasks, such as object fetching, door opening, and drawer opening.
Three key questions drive this research: what tasks would be valuable for an assistive robot to perform; how can motor-impaired users direct a robot to perform these tasks; and how can a robot perform these tasks in unstructured environments, such as the home? To help answer these questions, we have taken inspiration from helper monkeys and service dogs. We have also integrated patient studies throughout the research process from initial design to systems-level evaluation through our collaboration with the ALS Center at the Emory School of Medicine. By taking a problem-driven, systems-level approach to our research, we have found synergistic answers to these questions that enable patients to work with robots in complementary ways that circumvent common stumbling blocks to deployable, real-world solutions.
Charles C. Kemp is an Assistant Professor in the Department of
Biomedical Engineering at Georgia Tech and Emory University. He
received a doctorate in Electrical Engineering and Computer Science
from MIT in 2005. He is a member of the Center for Robotics and
Intelligent Machines at Georgia Tech and the Health Systems Institute,
which houses his lab (http://healthcare-robotics.com). Charlie's
current research focuses on autonomous robot manipulation and
human-robot interaction for healthcare (http://charliekemp.com).
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