Chanwook Oh

University of Southern California

Papers

1

Total Citations

5

H-Index

1

About

Chanwook Oh is a rising scholar in robotics and automation, with a focused expertise in multi-agent coordination, motion planning, and large-scale logistics. His most-cited work, "Task Assignment, Scheduling, and Motion Planning for Automated Warehouses for Million Product Workloads" (2023), tackles the computationally formidable Warehouse Servicing Problem (WSP). Oh’s major contribution lies in developing a scalable framework that integrates task assignment, scheduling, and motion planning for teams of mobile robots operating in high-density environments. By addressing the challenge of moving millions of products from shelves to packaging stations, his research bridges the gap between theoretical planning algorithms and practical, real-world deployment in automated warehouses. Though early in his career, his work has already garnered attention, with 5 citations, signaling its relevance to both academia and industry. Oh’s approach is notable for its emphasis on efficiency and feasibility under massive workloads, a critical need as e-commerce and logistics continue to expand. For students and researchers, his research offers a compelling model of how to solve complex, real-world robotic coordination problems with mathematical rigor and practical insight.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Task Assignment, Scheduling, and Motion Planning for Automated Warehouses for Million Product Workloads
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Southern California

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago