Nicholas Rubino
Papers
2
Total Citations
4
H-Index
1
About
Nicholas Rubino is a researcher at the forefront of rehabilitation robotics and human-machine interaction, with a primary focus on developing intelligent control systems for lower-limb exoskeletons. His work centers on restoring mobility for individuals with neuromuscular impairments, particularly stroke survivors, by targeting key muscle groups like the soleus to improve gait efficiency. Rubino’s major contributions include pioneering backstepping control strategies for motorized ankle orthoses, which directly address the slow, metabolically inefficient gait patterns common after stroke. He has also advanced the field by designing neural network-based controllers that compensate for deadzone and estimation errors in cable-driven ankle exoskeletons, overcoming a critical technical challenge in precise joint control. His 2023 paper on backstepping control has garnered 3 citations, while his 2025 work on neural network controllers is already gaining attention with 1 citation. By tackling the reliance on powered devices and improving the mapping between motor torque and joint rotation, Rubino is paving the way for more adaptive, user-responsive assistive technologies that enhance both training and daily mobility.
Research Focus
Key Achievements
Top Papers
- 1
- 2