Michael V. Manguerra

Papers

Total Citations

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About

Michael V. Manguerra is a researcher at the forefront of rehabilitation robotics and human-machine interfaces, specializing in biomimetic design and assistive technologies. His work centers on developing robotic exoskeletons and gesture recognition systems that prioritize safety, biocompatibility, and user-centered functionality. Manguerra’s most cited paper (9 citations) introduces a novel design methodology for upper limb therapy exoskeletons, drawing inspiration from biological analogues to address the oversimplified anatomical requirements in current devices. This biomimetic approach enhances both safety and therapeutic efficacy. His second key contribution (6 citations) focuses on EMG-based gesture recognition for active-assistive rehabilitation, leveraging surface electromyography signals to enable intuitive, robot-assisted therapy for individuals with physical disabilities. By integrating robotic systems with real-time biological feedback, Manguerra’s work bridges the gap between manual therapy and advanced automation, offering comparable effectiveness while expanding access to rehabilitation. His research underscores a commitment to translating biological principles into practical engineering solutions, making significant strides toward more adaptive, biocompatible, and effective assistive technologies for clinical and home-based therapy.