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About

Ana Luisa Trejos is a prominent biomedical and mechanical engineering researcher whose work sits at the intersection of surgical robotics, haptic feedback systems, and wearable rehabilitation technology. Her early contributions to robot-assisted minimally invasive surgery were groundbreaking: her tactile sensing instrument for intraoperative tumor localization (110 citations) addressed a critical limitation of laparoscopic procedures, while her port placement optimization algorithms (2006–2007) fundamentally improved how robotic surgical systems are configured for cardiac and thoracic procedures. Her investigation into haptic and visual force feedback during robotic suturing — explored across multiple studies accumulating over 100 combined citations — has meaningfully informed the design of safer, more intuitive surgical teleoperation systems. In parallel, Trejos has made substantial contributions to rehabilitation engineering, developing EMG-based muscle health models, EEG/EMG fusion methods for motion classification, and user-independent hand gesture recognition systems that leverage sensor fusion and machine learning to enhance control of wearable robotic devices for stroke and musculoskeletal disorder patients. With a body of work spanning nearly two decades and hundreds of citations across surgical robotics and assistive technology, Trejos represents a versatile and impactful voice in human-centered biomedical robotics research.