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
Top Papers
- 1
- 2Multimodal Aerial Locomotion: An Approach to Active Tool Handling22 citations · 2018
- 3Productive Multitasking for Industrial Robots9 citations · 2021
- 4A Geometric Pulling Force Controller for Aerial Robotic Workers9 citations · 2017