Formal Specifications for Assistive Robotics
PI: Brenna Argall
Associate Professor of Computer Science, Mechanical Engineering, and Physical Medicine and Rehabilitation
Northwestern University
Framework component: Interaction
Some people with disabilities rely on eye gaze tracking systems used to control powered wheelchairs. However, these assistive robots are typically created by experts in robotics. This “one size fits all” manner does not enable people in need of assistance, their therapists, or their caregivers to influence and customize the robot or device to their needs. Furthermore, the current practice cannot guarantee safety in the interaction because there are currently no verification or synthesis methods that can be used when designing the interaction.
This project's vision is to create, in a user-centered design methodology, formalisms and tools that would (1) enable domain experts, not robotics experts, to define and shape the desired human-machine intelligent interaction, and (2) create the machine intelligence that will adapt to the needs of the person across different time scales and abilities, while maintaining the safety of the interaction, as defined by all the stakeholders.
Key Personnel
Hadas Kress-Gazit
Senior Endowed Professor, Sibley School of Mechanical and Aerospace Engineering
Cornell University
Guy Hoffman
Associate Professor, Sibley School of Mechanical and Aerospace Engineering
Cornell University
Larisa Loke
Graduate Student, Mechanical Engineering
Northwestern University
Todd Murphey
Professor of Mechanical Engineering
Northwestern University
Outcomes and Updates
- Characterizing Eye Gaze for Assistive Device Control
-
Study Finds Eye Gaze Signals Provide Key Answers in Assistive Device Control