Emily Maack
Papers
1
Total Citations
40
H-Index
1
About
Emily Maack is a leading researcher at the intersection of human–robot collaboration and industrial assembly, with a particular focus on dynamic task allocation in the context of Industry 5.0. Her most-cited work, "Implementation and Evaluation of Dynamic Task Allocation for Human–Robot Collaboration in Assembly" (2022, 40 citations), addresses the critical challenge of balancing productivity and human-centered automation. Maack’s major contribution lies in developing and evaluating flexible frameworks that allow assembly tasks to be allocated in real-time between human workers and robots, optimizing for efficiency while prioritizing worker safety and autonomy. This work is foundational for the next generation of smart factories, where adaptive collaboration replaces rigid automation. Her research has been cited by scholars in manufacturing, robotics, and ergonomics, underscoring its interdisciplinary impact. Maack’s achievements include advancing the practical implementation of Industry 5.0 principles, bridging the gap between theoretical human–robot interaction models and real-world industrial applications. For students and researchers, her work offers a clear roadmap for designing collaborative systems that are both productive and human-centric.
Research Focus
Key Achievements
Top Papers
- 1