Max Robotics — Global Service Robot Directory + US Certification

About

Jenny C. Castiblanco is a biomedical and rehabilitation engineer whose research sits at the intersection of human-machine interfaces, electromyography (EMG), and robotic-assisted therapy. Her work focuses on developing intelligent systems that decode muscle activity to restore hand function in stroke survivors — a population for whom fine motor recovery remains one of the most persistent clinical challenges. Castiblanco's most recognized contribution, "EMG-driven hand model based on the classification of individual finger movements" (2020, 94 citations), established a robust framework for translating surface EMG signals into precise, individualized finger motion commands — a critical step toward intuitive prosthetic and rehabilitation control. Building on this, her research in myoelectric pattern recognition (2019, 49 citations) demonstrated the feasibility of decoding complex hand gestures for therapeutic applications. Her work on assist-as-needed exoskeletons (2021, 38 citations) further advanced the field by integrating real-time muscle effort detection into adaptive robotic systems, enabling personalized, patient-driven rehabilitation rather than passive, predetermined motion. Across her body of work, Castiblanco consistently bridges signal processing, machine learning, and mechatronics to create clinically meaningful tools. With over 200 cumulative citations, she has established herself as a meaningful voice in the growing field of intelligent neurorehabilitation engineering.