Josef Schlattmann
Papers
10
Total Citations
93
H-Index
6
About
Josef Schlattmann is a robotics researcher whose work bridges soft robotics, bio-inspired design, and parallel mechanisms. His most influential contribution is the development of a gecko-inspired climbing soft robot (2019, 35 citations), which demonstrated how biomimicry can enable energy-efficient locomotion on inclined surfaces—a significant step toward practical climbing robots. Schlattmann has also advanced the control of soft robots through lightweight simulation models that combine piecewise constant curvature with energy minimization (2020, 11 citations), enabling fast forward kinematics estimation for trajectory optimization. His work on gait pattern generation for closed-loop position control of soft walking robots (2020, 7 citations) reduced complex joint spaces to just two generalized coordinates, making real-time control feasible. In parallel robotics, he developed a sensor concept for solving the direct kinematics problem of Stewart-Gough platforms (2017, 11 citations), addressing a fundamental challenge in precise robot-world coordinate alignment. Schlattmann’s research extends to multi-body simulation for analyzing beetle leg joints (2017, 10 citations) and path planning using genetic algorithms (2014, 9 citations). His work on the CENTAUROB two-legged robot (2015) further showcases his expertise in applying Stewart platforms for statically stable locomotion in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Toward a Gecko-Inspired, Climbing Soft Robot35 citations · 2019
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- 7New Prototype of the Two-Legged Robot CENTAUROB3 citations · 2015
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