Papers

2

Total Citations

31

H-Index

2

About

Tomas Hermansson is a researcher whose work focuses on the practical challenges of industrial robotics, particularly the often-overlooked issue of robot dress packs—the bundles of cables and hoses that power and control robotic arms. His key research areas include robot station optimization, path planning, and minimizing mechanical wear in automated manufacturing environments. Hermansson’s major contributions lie in developing quasi-static path optimization methods that reduce stress on dress packs, directly addressing a leading cause of robot downtime and costly online adjustments. His 2020 paper, "Quasi-static path optimization for industrial robots with dress packs," has garnered 22 citations, reflecting its significance in the field. In a notable factory study, Hermansson revealed that many robots require more than one dress pack replacement per year, with life spans varying dramatically from months to years, underscoring the economic impact of his work. By tackling these real-world inefficiencies, Hermansson helps bridge the gap between theoretical robotics and industrial practice, offering solutions that enhance reliability and reduce maintenance costs for manufacturers worldwide.

Research Focus

Key Achievements

2
H-Index
2
Papers
31
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Quasi-static path optimization for industrial robots with dress packs
22 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Fraunhofer Chalmers Research Centre for Industrial Mathematics

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago