Papers

2

Total Citations

5

H-Index

2

About

Richard Peifer is a researcher focused on advancing human-robot collaboration in industrial manufacturing, with a particular emphasis on assembly planning and automation. His major contributions lie in developing accessible, automated reasoning tools that streamline the integration of human-robot cooperation into production systems. Peifer's most cited work, "Tᴏᴏʟ: accessible automated reasoning for human robot collaboration" (2018, 3 citations), introduces an expressive and extendable domain-specific language designed to simplify the planning of assembly systems, addressing the growing need for flexibility in manufacturing. This tool enables more efficient description and automation of processes, reducing the complexity of implementing collaborative robotics. Additionally, his paper "Objectification of Assembly Planning for the Implementation of Human-Robot Cooperation" (2018, 2 citations) further explores systematic approaches to embedding cooperative robots into assembly lines. While his citation counts reflect the emerging nature of this field, Peifer's work is notable for its practical focus on making advanced automation accessible to industry, contributing to the foundational frameworks that enable safer, more adaptable human-robot workplaces. His research is particularly relevant for students and engineers seeking to understand the intersection of robotics, planning, and manufacturing innovation.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Tᴏᴏʟ: accessible automated reasoning for human robot collaboration
3 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Zentrum für Mechatronik und Automatisierungstechnik

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago