Pekka Abrahamsson

Tampere University, University of Jyväskylä

Papers

2

Total Citations

4

H-Index

2

About

Pekka Abrahamsson is a researcher working at the intersection of artificial intelligence, robotics, and software engineering ethics, with a particular focus on the emerging challenges posed by multi-robot systems and cooperative AI technologies. His work explores the complex ethical and business dimensions that arise when robots of different types and brands collaborate within shared environments, a domain of growing significance as autonomous systems become increasingly embedded in everyday life. Abrahamsson has made notable contributions to the application of structured ethical frameworks in AI and robotics development. His investigations into multi-robot cooperation have employed tools such as ECCOLA, a method designed to integrate ethical considerations directly into software development workflows, demonstrating a commitment to translating abstract ethical principles into practical engineering guidance. His 2022 study engaging a workshop of ten researchers to map ethical concerns in robot-to-robot cooperation reflects a collaborative and empirically grounded approach to this evolving field. While his most recent papers are still accumulating citations, Abrahamsson's research addresses questions of pressing relevance: how technological design, societal values, and business imperatives can be responsibly aligned in an era of intelligent autonomous systems. His work is valuable reading for students and researchers navigating the ethical frontiers of AI and robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Business and Ethical Concerns in Domestic Conversational Generative AI-Empowered Multi-robot Systems
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Tampere University, University of Jyväskylä

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago