Santino Bianco
Papers
2
Total Citations
4
H-Index
2
About
Santino Bianco is a researcher at the forefront of robotic rehabilitation and exercise science, specializing in the intersection of human physiology and robotic control. His work centers on developing intelligent exercise robots that can autonomously adapt to a user’s physical state, with a particular focus on targeted muscle effort distribution and robust impedance control. Bianco’s most-cited paper, “Targeted muscle effort distribution with exercise robots: Trajectory and resistance effects” (2021), uses electromyography to relate muscle activation patterns to robotic trajectory and resistance settings, offering a foundational method for designing personalized rehabilitation protocols. His second key work, “Robust Impedance Control of a Four Degree of Freedom Exercise Robot” (2019), introduces the CSU 4OptimX platform—a robotic system capable of autonomously modifying its trajectory and impedance based on optimization criteria and physiological feedback. Though his citation counts are currently modest (2 each), these contributions are critical stepping stones toward closed-loop, adaptive rehabilitation robotics. Bianco’s research promises to transform physical therapy by enabling robots to respond in real-time to a patient’s muscle effort, paving the way for more effective, data-driven recovery.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robust Impedance Control of a Four Degree of Freedom Exercise Robot2 citations · 2019