Alessandro Presacco
University of Maryland, College Park, Universidad Nacional Autónoma de México
Papers
2
Total Citations
33
H-Index
2
About
Alessandro Presacco’s research lies at the intersection of neural engineering and human-robot interaction, with a focus on developing intuitive, noninvasive interfaces that restore movement and enable natural communication. His most cited work, “Restoration of Whole Body Movement: Toward a Noninvasive Brain-Machine Interface System” (2012, 31 citations), explores how scalp electroencephalogram (EEG) signals can decode the brain’s rapid, millisecond-scale commands for whole-body motion—a foundational step toward practical, noninvasive neural prosthetics. This paper, which surveys advances in EEG-based interfaces, has shaped subsequent efforts to bridge neural activity and physical action without surgical implants. More recently, Presacco has extended his expertise to service robotics, proposing a framework that integrates speech recognition, syntactic parsing via Universal Dependencies, and expert systems to process natural language commands (2021, 2 citations). This work demonstrates his commitment to making robots more responsive to human speech in real-world settings. By combining neural decoding with language processing, Presacco’s contributions highlight a vision of assistive technology that is both brain-driven and conversationally fluent, promising more seamless collaboration between humans and machines.
Research Focus
Key Achievements
Top Papers
- 1
- 2