Max Robotics — Global Service Robot Directory + US Certification

About

Jack DiGiovanna is a leading figure in neuroprosthetics and rehabilitation engineering, whose work has fundamentally advanced the restoration of movement after spinal cord injury (SCI). His research integrates neural decoding, closed-loop control, and robotic interfaces to bridge the gap between brain and body. DiGiovanna’s most impactful contribution is his 2012 study, cited over 750 times, which introduced an electrochemical neuroprosthesis combined with a robotic postural interface to restore voluntary locomotion in paralyzed rats—a breakthrough demonstrating that supraspinal control can be re-engaged after severe SCI. He has also pioneered methods for decoding bipedal locomotion from sensorimotor cortex activity, laying groundwork for lower-limb neuroprosthetics. His work on closed-loop trunk posture control, showing how regulating proprioceptive feedback improves gait after injury, has been cited over 40 times and informs modern rehabilitation robotics. DiGiovanna further contributed to the development of cyberinfrastructure for dynamic data-driven brain-machine interfaces, enabling real-time neural signal modeling. His research, spanning from foundational neural tuning studies to translational rehabilitation strategies, continues to shape how scientists and engineers design systems that restore mobility and independence to individuals with paralysis.