C. Sebastian Mancero Castillo
Papers
2
Total Citations
34
H-Index
2
About
C. Sebastian Mancero Castillo is a leading researcher in neurorobotics and assistive technology, whose work focuses on reducing the cognitive burden of human-machine interfaces for upper-limb prosthetics. His primary research areas include multimodal intention detection, shared autonomy, and functional muscle connectivity analysis. In his most cited work, "A Multimodal Intention Detection Sensor Suite for Shared Autonomy of Upper-Limb Robotic Prostheses" (2020, 27 citations), Mancero Castillo addresses a critical challenge in neurorobotic augmentation: the excessive cognitive load required for grasp control. He proposes a novel sensor suite that integrates multiple modalities to more intuitively detect user intent, thereby enhancing the autonomy and usability of prosthetic devices. In his more recent study, "Synergistic Upper-Limb Functional Muscle Connectivity Using Acoustic Mechanomyography" (2022, 7 citations), he advances the understanding of functional muscle networks by employing acoustic mechanomyography to analyze synergistic muscle synchronization. This work offers a less invasive, more practical method for deriving intermuscular coherence, with significant implications for improving prosthetic control and rehabilitation strategies. Mancero Castillo’s contributions are paving the way for more intuitive, responsive assistive technologies that seamlessly integrate with human physiology.
Research Focus
Key Achievements
Top Papers
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