Papers
2
Total Citations
19
H-Index
2
About
A. Lehmann is a robotics researcher whose work focuses on advancing the control and sensory capabilities of dexterous robotic hands and grippers. Their key research areas include model-based control, force and position regulation, and stability supervision for nonlinear robotic systems. Lehmann’s major contributions are demonstrated in their most-cited work, “Model-based control and object contact detection for a fluidic actuated robotic hand” (2004, 14 citations), which addresses the critical challenge of integrating high-level control with low-level system behavior for anthropomorphic hands. This paper emphasizes the necessity of precise position and force control to enable effective object manipulation. Additionally, in “Fuzzy stability supervision of robot grippers” (2005, 5 citations), Lehmann introduces an innovative online fuzzy-based system that detects and evaluates safety and stability issues in complex, nonlinear control environments where offline analysis is impractical. This work highlights their commitment to practical, real-time solutions for robotic safety. Lehmann’s research, though niche, provides foundational insights for developing more reliable and intelligent robotic manipulation systems, making their contributions valuable for students and researchers in robotics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2Fuzzy stability supervision of robot grippers5 citations · 2005