Carlos Palacio
Papers
1
Total Citations
23
H-Index
1
About
Dr. Carlos Palacio is at the forefront of intelligent assistive robotics, pioneering the integration of biosignal processing and machine learning for next-generation bionic exoskeletons. His primary research focuses on decoding human motor intent from electromyography (EMG) sensors to achieve seamless, volitional control of upper-limb prosthetics and orthoses. In his landmark 2023 paper, "Volitional control of upper-limb exoskeleton empowered by EMG sensors and machine learning computing" (23 citations), Palacio directly confronts the persistent challenge of extracting clean, reliable movement commands from noisy, artifact-laden bioelectrical signals. By leveraging emerging machine learning algorithms, he has developed a computational framework that filters out individual bio-variability and systematic interference, enabling more natural and intuitive human-robot interaction. This work represents a critical step toward making bionic assistive devices truly responsive to their users’ intentions. With his research already shaping the future of rehabilitation engineering, Dr. Palacio’s contributions are paving the way for more adaptive, intelligent, and accessible exoskeleton technologies that can restore mobility and independence to individuals with motor impairments.
Research Focus
Key Achievements
Top Papers
- 1