Papers

4

Total Citations

78

H-Index

4

About

David Wuthier is a roboticist whose research bridges industrial automation and aerial manipulation, with a focus on making robots more versatile and easier to program. His key contributions lie in skill-based programming for manufacturing and multimodal aerial locomotion for active tool handling. In his most-cited work, “Motion Generators Combined with Behavior Trees” (38 citations), Wuthier introduced a novel approach to skill modelling that reduces programming complexity for industrial robots by encapsulating complex motions into modular, self-contained primitives. He further advanced this concept in “Productive Multitasking for Industrial Robots” (9 citations), addressing the challenge of small-batch production by enabling robots to handle multiple concurrent tasks through modular software components. In aerial robotics, Wuthier’s work on “Multimodal Aerial Locomotion” (22 citations) explores how unmanned aerial vehicles equipped with manipulators can interact with and manipulate their environment, while his “Geometric Pulling Force Controller for Aerial Robotic Workers” (9 citations) enables UAVs to exert controlled forces on surroundings—a critical step toward practical aerial workers. Together, these contributions demonstrate Wuthier’s impact in making both ground and aerial robots more adaptive, efficient, and capable of real-world tasks.

Research Focus

Key Achievements

4
H-Index
4
Papers
78
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Motion Generators Combined with Behavior Trees: A Novel Approach to Skill Modelling
38 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Aalborg University, Luleå University of Technology, Technical University of Denmark

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago