This page is the top level overview page on my primary project on Robot-Assisted Feeding (RAF) for Individuals with Spinal Cord Injury, where the corresponding github repository can be found here.
If you’re interested in other sub-projects relating to Robot-Assisted Feeding, check out the others in this project series! Sub-projects include:
- Camera to Robot Calibration.[Coming Soon]
- Camera Mount Design and Fabrication.[Coming Soon]
- Object Detection V1.[Coming Soon]
- Simple Grasp Generation.[Coming Soon]
- Eye Tracking Interface.[Coming Soon]
- Facial Keypoint Detection.[Coming Soon]
- Object Tracking.[Coming Soon]
- Prototype - V2.[Coming Soon]
- Robot to Wheelchair Mount.[Coming Soon]
- Object Detection V2.[Coming Soon]
- Grasp Pose Detection.[Coming Soon]
- Mouth Visual Servoing.[Coming Soon]
According to the World Health Organization, there are more than 1 billion people, or 15% of the world’s population, living with some sort of a motor impairment1. One of the most highly rated ADLs by people with movement disorders is the ability to prepare a meal and feed oneself2.
The goal of this project was to design, develop, prototype, test, and evaluate a robotic device that enables people with high-level spinal cord injuries to feed themselves with minimal command inputs.
More details coming soon, but for now, check out this video demonstrating the initial prototype of the system.
For more in-depth information, check out the initial stages of this work, published and presented at RehabWeek 2022 as part of the International Conference on Rehabilitation Robotics. Full citation below.
Schultz, J., Slifkin, A., Yu, H., & Schearer, E. (2022). Proof-of-Concept: A Hands-Free Interface for Robot-Assisted Self-Feeding. 2022 International Conference on Rehabilitation Robotics (ICORR), DOI: 10.1109/ICORR55369.2022.9896535.