Emanuel Silva
Papers
1
Total Citations
22
H-Index
1
About
Emanuel Silva is a leading researcher at the intersection of human–robot collaboration (HRC) and cognitive ergonomics, with a primary focus on understanding and optimizing human mental workload in automated environments. His most influential work, a 2025 systematic literature review, has already garnered 22 citations, establishing a foundational framework for using physiological sensors—such as EEG, heart rate monitors, and eye trackers—to capture real-time cognitive states during collaborative tasks. This contribution is critical as industries increasingly deploy robots for complex operations, shifting human roles from direct control to supervision and teamwork. Silva’s research directly addresses the challenge of balancing productivity with worker well-being, offering evidence-based methods to design adaptive systems that respond to human cognitive load. By bridging robotics engineering and human factors psychology, he provides practical insights for safer, more efficient HRC implementations. His work is essential reading for students and researchers seeking to develop human-centered automation, ensuring that technological advancement does not come at the cost of operator strain or error.
Research Focus
Key Achievements
Top Papers
- 1