Carlos Escolano

Universidad de Zaragoza

Papers

2

Total Citations

39

H-Index

2

About

Carlos Escolano is a pioneering researcher in brain-computer interfaces (BCIs) and teleoperated robotics, with a focus on assistive technologies for individuals with severe neuromuscular disabilities. His most influential work, "Human brain-teleoperated robot between remote places" (2009, 35 citations), introduced a groundbreaking EEG-based system that allows users to navigate and explore remote environments using only brain activity. This system combines robot navigation and camera exploration, enabling seamless teleoperation over the Internet. Escolano further advanced the field with his 2011 study on multi-robot teleoperation via BCI, which demonstrated the ability to control multiple robots simultaneously using neural signals alone. His contributions are notable for bridging human cognition and robotic systems, offering unprecedented independence to users with motor impairments. By integrating real-time EEG processing with remote teleoperation, Escolano has laid critical groundwork for accessible, brain-driven robotics. His work continues to inspire innovations in assistive technology and human-robot interaction, highlighting the transformative potential of BCIs in enabling communication and control for those with severe physical limitations.

Research Focus

Key Achievements

2
H-Index
2
Papers
39
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Human brain-teleoperated robot between remote places
35 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Universidad de Zaragoza

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago