Machine Learning and Robotic Arms for the Disabled


New research develops a robotic arm to restore mobility for people with disabilities. Brain computer interface (BCI) systems are a combination of software and hardware that can restore mobility and assist in medical diagnostics. Researchers at Cal State Northridge have recently developed a machine learning based, hands-free BCI controller for patients with paralysis and other serious physical disabilities that restrict limb movement [1]. The team created a semi-autonomous mobile robotic arm which performed imagined hand squeezes and foot taps with high accuracy. The results are set to pave the way for more research into ML-based mobility devices.