Antonio Ribas Neto
Instituto Federal Catarinense, Universidade Estadual de Campinas (UNICAMP)
Papers
5
Total Citations
44
H-Index
4
About
Antonio Ribas Neto is a researcher at the forefront of assistive and rehabilitative robotics, with a particular focus on restoring hand function for individuals with neurological disorders such as stroke and spinal cord injury. His key research areas include soft wearable robotics, tendon-driven actuation, and advanced sensor integration. Neto’s major contributions center on the development of a novel, underactuated robotic glove that uses optical fiber force myography (FMG) sensors for precise, non-invasive control. His most cited work (17 citations) introduces a wearable glove that enables firm grasps for those with hand disabilities, while a subsequent study (15 citations) refines the design by integrating optical FMG sensors for improved grip assistance. He has also pioneered hybrid control strategies combining tendon-actuated gloves with functional electrical stimulation (6 citations), offering a more holistic approach to therapy. Beyond assistive devices, Neto has advanced robust control theory for prosthetic hands and mobile robot localization, employing H∞ observers and LMI-based filters. His work demonstrates a clear trajectory from sensor-driven orthosis design to sophisticated control systems, making him a notable figure in the intersection of robotics and rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1A Wearable Robotic Glove based on Optical FMG Driven Controller17 citations · 2019
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