Myoung‐Ju Park
Papers
1
Total Citations
37
H-Index
1
About
Myoung-Ju Park is a leading researcher in human–robot collaboration and manufacturing systems, with a focus on optimizing the interplay between human workers and autonomous agents in complex industrial environments. Her most-cited work, “Human–Robot Task Allocation and Scheduling: Boeing 777 Case Study” (2021, 37 citations), addresses a critical challenge in aerospace manufacturing: how to precisely allocate, sequence, and coordinate tasks among human and robotic agents under strict temporal and spatial constraints. Motivated by Boeing’s fully autonomous upright build project, Park formulates this problem as a flexible job shop scheduling model, introducing novel methods to balance efficiency, safety, and adaptability. Her contributions have direct implications for smart factories and Industry 4.0, where seamless human–robot teamwork is essential. Beyond this flagship study, Park’s research spans task scheduling, resource allocation, and real-time coordination in cyber-physical production systems. Her work is widely cited by engineers and computer scientists developing collaborative robotics solutions, and she is recognized for bridging theoretical optimization with real-world manufacturing challenges. Park’s insights continue to shape how industries design safer, more productive human–robot workspaces.
Research Focus
Key Achievements
Top Papers
- 1Human–Robot Task Allocation and Scheduling: Boeing 777 Case Study37 citations · 2021