16-899D: Assistive Robotic Technology in Nursing and Health Care
General DescriptionInstructors: Judy Matthews (Pitt) and Aaron Steinfeld (CMU)
Time and date: Spring Semester 2005, Tues 4:30-7:20 pm
Location: CMU NSH 1305 and Pitt TBD, with field trips
The increasing number of people with chronic disorders, and the nation-wide pressure to reduce health-case costs, mandate the development of innovative technologies that enable elderly and handicapped people to maintain a high quality of life.
This course brings together an interdisciplinary group of students from nursing and other health disciplines, computer science, and robotics to design and evaluate robot systems that help community-residing, frail older adults and persons with disabilities sustain their independence. In collaboration with faculty, students will engage in hands-on learning of skills relevant to the design, development, and evaluation of service robots that assist elderly/disabled people. Through seminar discussion and laboratory activities, students will have the opportunity to learn from faculty and each other how to design technology that can serve people.
Activities include seminar discussion, guest speakers, community-based experiences, and project-based learning.
The course seeks to draw students from the following academic units/programs:
At the completion of this course, the student will be able to:
The course is project-based. Teams of students will jointly design, build, and evaluate a prototype of a robot that provides assistance to elderly or disabled people. Ideally, each team will be composed of 3-4 students from different academic units. Both faculty members will work closely with the team during the entire course. The class will meet weekly to discuss progress and jointly solve problems. The course is organized in three phases:
The class will meet weekly for lectures and to discuss progress and jointly solve problems.
Student performance in this course will be evaluated on a graded basis, from A through F. The final grade will reflect performance on a limited number of project-based assignments and class participation. All students are expected to adhere to the standards of academic honesty. Any work submitted by a student must represent his/her own efforts. Any student engaging in cheating, plagiarism, or any other acts of academic dishonesty will be subject to disciplinary action.
No single set of requirements exists, as we expect students from a large range of academic backgrounds to participate. Students in technical fields should have experience in one of the following: software development, hardware design, or user interaction. Students in the nursing sector should have experience with development and/or evaluation.
This course is for 12 units (Carnegie Mellon University).
Enrollment in this course is limited to twelve students.
Send mail to Aaron Steinfeld if you are a CMU student, and to Judy Matthews if you are a Pitt student. Our goal is to compose teams of students from all different academic units (nursing, computer science, robotics) to foster interdisciplinary collaboration and problem solving.