Georg Stillfried
Papers
10
Total Citations
209
H-Index
7
About
Georg Stillfried is a leading researcher in hand biomechanics and human-robot interaction, whose work bridges the gap between biological dexterity and robotic design. His primary research areas include kinematic modeling of the human hand, grasp synergy analysis, and variable-stiffness robotic grasping. Stillfried’s major contribution is the development of a data-driven kinematic hand model reconstructed from magnetic resonance imaging (MRI), which is fully parameterized and adaptable across subjects—a foundational tool for understanding hand movement and designing anthropomorphic robotic grippers. His most cited paper (51 citations) introduces a soft-tissue artifact compensation mechanism for accurate finger posture recording, while another key study (40 citations) provides a comprehensive MRI-based movement model. Notably, his 2017 work (22 citations) demonstrates that human grip stiffness can be decoupled from force via cocontraction, offering critical insights for variable-stiffness actuators. Stillfried also contributed to the Exodex Adam (2022), a reconfigurable haptic interface for whole-hand interaction in teleoperation and virtual reality. With over 200 total citations, his research has profoundly influenced biomechanics, rehabilitation, and robotics, enabling more natural and adaptive robotic hands.
Research Focus
Key Achievements
Top Papers
- 1
- 2Movement model of a human hand based on magnetic resonance imaging (MRI)40 citations · 2010
- 3Robotics of human movements36 citations · 2009
- 4MRI-Based Skeletal Hand Movement Model27 citations · 2014
- 5
- 6Multi-body simulation of a human thumb joint by sliding surfaces11 citations · 2012
- 7
- 8Using MRT data to compute a hand kinematic model5 citations · 2008
- 9
- 10Kinematic Modelling of the Human Hand for Robotics3 citations · 2015