Mats I. Johansson

Chalmers University of Technology

Papers

2

Total Citations

39

H-Index

2

About

Mats I. Johansson is a researcher whose work centers on the automation of warehouse logistics and robotic material handling. His primary research areas include robotic mobile fulfilment systems (RMFS) and bin picking technologies, with a focus on improving efficiency in order picking applications. Johansson’s most notable contribution is his 2018 paper on the performance characteristics of RMFS, which has garnered 36 citations. This work systematically analyzes how these automated systems enhance warehouse productivity, addressing critical gaps in the literature by quantifying benefits such as reduced travel time and increased throughput. His 2020 study on gripper types and components in robotic bin picking further demonstrates his commitment to advancing practical automation solutions, though it has received fewer citations to date. Johansson’s research is particularly valuable for students and practitioners in industrial engineering and logistics, as it bridges theoretical frameworks with real-world implementation challenges. By examining both system-level performance and component-specific design, he provides a comprehensive view of how robotics can transform order picking—a core yet labor-intensive warehouse operation. His work continues to inform the development of smarter, more efficient supply chain technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
39
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Performance Characteristics of Robotic Mobile Fulfilment Systems in Order Picking Applications
36 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Chalmers University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago