Mikel Anasagasti
Papers
1
Total Citations
6
H-Index
1
About
Mikel Anasagasti is a leading researcher at the intersection of cyber-physical systems and human-robot collaboration, a cornerstone of Industry 4.0. His work focuses on developing intelligent frameworks that enable seamless, adaptive peer-to-peer interaction between human workers and robotic systems in manufacturing environments. His most cited paper, "Enhanced Cognition for Adaptive Human-Robot Collaboration" (2022, 6 citations), proposes novel cognitive architectures that allow robots to understand and anticipate human actions, moving beyond rigid programming toward truly collaborative workflows. This contribution addresses a critical gap in smart manufacturing: creating production systems where humans and robots work as equal partners, not just as operators and tools. Anasagasti’s research has significant implications for the future of industrial automation, promising safer, more efficient, and more flexible factories. His work is foundational for researchers and engineers aiming to realize the full potential of collaborative robotics in real-world production settings.
Research Focus
Key Achievements
Top Papers
- 1Enhanced Cognition for Adaptive Human-Robot Collaboration6 citations · 2022