Skip to main content

Robotic system uses machine vision to feed people with severe mobility limitations

A robotic system developed by Cornell researchers feeds a student participant during a lab demonstration

A robotic system developed by Cornell researchers feeds a student participant during a lab demonstration. Image: Cornell University

Researchers at Cornell University have developed a robotic feeding system using computer vision, machine learning and multimodal sensing to feed people with severe mobility limitations such as spinal cord injuries, cerebral palsy and multiple sclerosis.

Register for FREE to keep reading

Join 10,000+ vision professionals driving innovation in automation, AI and imaging with:

  • Expert insights on vision, robotics, AI & embedded tech
  • Newsletters and features covering the full imaging landscape
  • Visionaries series: leadership strategies in imaging
  • Free panels on smart manufacturing & autonomy
  • White Papers & updates for smarter integration

Sign up now

Already a member? Log in here

Your data is protected under our privacy policy.

Imaging and Machine Vision Europe covers

Media Partners