Max Robotics — Global Service Robot Directory + US Certification

About

Pablo Delgado is a leading researcher in rehabilitation robotics, specializing in the development of intelligent, patient-centered exoskeletons. His work focuses on restoring motor function for individuals affected by stroke or neuromuscular degeneration, with a particular emphasis on the elbow and shoulder joints. Delgado’s major contribution lies in pioneering **Assist-as-Needed (AAN) algorithms** that personalize robotic therapy. His most cited work (2023, 23 citations) introduces a bio-inspired exoskeleton controlled by an AAN algorithm using Force Sensitive Resistor (FSR) sensors and machine learning to adapt support in real-time. This builds on his foundational shoulder kinematics study (2020, 19 citations), which assessed lost degrees-of-freedom to inform exoskeleton design. Delgado’s innovative approach integrates instance-based learning with computed torque control (2022), allowing the system to adapt to individual physiological variations rather than relying on generic models. By moving beyond one-size-fits-all solutions, his research is paving the way for more effective, adaptive rehabilitation that responds to each patient’s unique recovery trajectory, promising to significantly improve quality of life and independence.