Papers
5
Total Citations
43
H-Index
4
About
Jan Wolff is a pioneering researcher at the intersection of control theory, soft robotics, and surgical automation. His foundational work on invariance control—a method for constrained control of nonlinear systems—has been instrumental in advancing robotic safety and dexterity, particularly in legged robot balance and haptic rendering. His 2008 paper on invariance control for multi-input systems, with 17 citations, remains a key reference in the field. Wolff has also made significant contributions to soft robotics, notably through his 2021 work on industrial silicone 3D printing, which addresses the critical gap between lab-scale soft robot development and scalable manufacturing. More recently, he has led groundbreaking clinical research on the CARLO (cold ablation robot-guided laser osteotome), demonstrating its feasibility and precision in midface and interdental osteotomies. His 2024 multi-center study on CARLO’s performance in 28 patients, alongside a 2025 cadaveric study showing enhanced accuracy in orthognathic surgery, highlights his impact on translating robotic innovation into real-world surgical practice. With a career spanning foundational control theory to cutting-edge medical robotics, Wolff’s work exemplifies how rigorous engineering can directly improve human health and industrial capability.
Research Focus
Key Achievements
Top Papers
- 1
- 2Toward Industrial Silicone 3D Printing of Soft Robots9 citations · 2021
- 3Invariance controlled balance of legged robots9 citations · 2007
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