Robotic system feeds people with severe mobility limitations

Cornell researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis.

cerebral computer computer vision cornell limitations machine machine learning mobility multimodal multiple multiple sclerosis people researchers robotic robotics sensing vision