Moritz Schappler
Papers
31
Total Citations
233
H-Index
8
About
Moritz Schappler is a robotics researcher whose work spans safe human-robot interaction, parallel robot kinematics, and soft robotics — a rare combination that bridges theoretical modeling with practical robotic systems. He has made significant contributions to collision handling for complex humanoid robots, developing frameworks that address detection, isolation, identification, classification, and reaction phases, work that has garnered 58 citations and become a foundational reference in safe robot operation. His research on parallel robot kinematics, particularly for industrially relevant 3T2R and 3T3R tasks using reciprocal Euler angle formulations, has advanced general modeling approaches applicable across diverse robotic platforms. Schappler has also distinguished himself in soft robotics, contributing to impedance control for hydraulic systems, parameter identification for Cosserat rod models, and learning-based nonlinear model predictive control using recurrent neural networks. His recent work on physics-informed neural networks for continuum robots reflects a growing interest in combining data-driven methods with principled physical models. Notably, he has extended these threads toward human-robot collaboration with parallel robots and semi-autonomous exoprosthetics, demonstrating a consistent commitment to translating rigorous theory into systems that directly benefit human users.
Research Focus
Key Achievements
Top Papers
- 1Collision detection, isolation and identification for humanoids58 citations · 2017
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- 10Modeling, identification and joint impedance control of the atlas arms8 citations · 2015