Papers
14
Total Citations
165
H-Index
7
About
N. Pernalete is a pioneering researcher whose work sits at the intersection of robotics, human-machine interaction, and assistive technology. With a career spanning more than two decades, Pernalete has made substantial contributions to teleoperation systems, haptic interfaces, and rehabilitation robotics, accumulating over 155 citations across a highly focused body of work. Pernalete's early research established innovative frameworks for variable velocity mapping in teleoperation, enabling more intuitive human-robot cooperation where autonomous systems fall short. This foundational work evolved into the development of intelligent haptic interfaces specifically designed to empower individuals with disabilities in performing vocational tasks — a deeply humanistic application of advanced robotics. Notably, Pernalete extended these principles into therapeutic contexts, pioneering robotic systems for eye-hand coordination assessment and therapy in children with coordination disorders, and later adapting this work for post-stroke rehabilitation. The integration of Hidden Markov Models for skill learning within motion therapy systems further demonstrated a sophisticated command of machine learning applied to clinical needs. What distinguishes Pernalete's contributions is their consistent patient-centered focus — translating complex robotic and computational techniques into tangible tools that improve quality of life. The 2024 eye-hand correlation assessment study signals a continued relevance and commitment to advancing rehabilitation technology well into the present era.
Research Focus
Key Achievements
Top Papers
- 1Teleoperation assistance through variable velocity mapping46 citations · 2001
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- 3Eye-Hand Coordination Assessment/Therapy Using a Robotic Haptic Device24 citations · 2005
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- 9Eye-hand coordination assessment using a robotic haptic interface6 citations · 2004
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