Mark Mulder

Delft University of Technology

Papers

2

Total Citations

298

H-Index

2

About

Mark Mulder is a leading researcher in human–machine interaction, with a primary focus on shared control systems—an emerging field that blends human decision-making with machine automation. His work addresses the critical challenge of designing intuitive, safe, and effective interfaces for partially automated vehicles and robots operating in unpredictable environments. Mulder’s highly cited 2018 paper, “A Topology of Shared Control Systems—Finding Common Ground in Diversity” (287 citations), provides a foundational framework for understanding and categorizing the diverse approaches to shared control, offering much-needed clarity and guidelines for design and evaluation. This contribution has become a key reference for engineers and researchers seeking to harmonize human intent with machine autonomy. He also co-edited a special issue on shared control applications (2015), further cementing his role in shaping the field’s direction. With his work bridging control theory, robotics, and human factors, Mulder’s research is essential for advancing the next generation of collaborative automation, from driver-assistance systems to human-robot teamwork.

Research Focus

Key Achievements

2
H-Index
2
Papers
298
Total Citations
149
Avg Citations/Paper
🏆 Most Cited Paper
A Topology of Shared Control Systems—Finding Common Ground in Diversity
287 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Delft University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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