Thilo Coenders
Papers
1
Total Citations
5
H-Index
1
About
Thilo Coenders is a researcher whose work lies at the intersection of human-robot interaction (HRI) and industrial automation, with a particular focus on making collaborative robots more adaptive and resilient. His most notable contribution, the 2017 study "A user study on human-robot-interactive recovery for industrial assembly problems," explores how humans can assist robots in recovering from assembly errors by leveraging task-specific human knowledge and experience. This work directly addresses a critical gap in industrial robotics: the need for flexible, intuitive error recovery without requiring extensive reprogramming. By systematically comparing different interaction methods, Coenders provides valuable insights into designing more robust and user-friendly HRI systems. Though his citation count (5 for this key paper) reflects a focused, early-career impact, his research is highly relevant to the growing field of collaborative manufacturing. His work has practical implications for reducing downtime and improving efficiency in smart factories, making him a promising voice in the ongoing effort to create more seamless and productive human-robot teams in industrial settings.
Research Focus
Key Achievements
Top Papers
- 1