Antonio Prado
Papers
3
Total Citations
37
H-Index
3
About
Antonio Prado is a leading researcher at the intersection of rehabilitation robotics and human movement science. His work focuses on developing and validating novel robotic systems to improve motor function in individuals with neurological and musculoskeletal disorders. Prado’s major contributions include pioneering the use of virtual reality combined with a Trunk Support Trainer (TruST) to enhance postural kinematics, a study that has garnered 16 citations and demonstrated significant improvements in functional motor deficits. He has also advanced wearable robotics by applying artificial neural networks to solve forward kinematics for parallel robots with semi-rigid links, a 13-cited paper that addresses critical challenges in lightweight, user-friendly design. Additionally, Prado’s research on timed frontal plane pelvic moments during overground walking, using a mobile Tethered Pelvic Assist Device (TPAD) system, has been cited 8 times and provides key insights into robotic gait training for individuals with poor pelvic control. His notable achievements include developing task-oriented training protocols that are both challenging and adaptable, bridging the gap between robotic assistance and real-world rehabilitation needs. Prado’s work is highly impactful for students and researchers seeking to understand how robotics and neural networks can transform personalized rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3