Thomas Feix
Papers
9
Total Citations
567
H-Index
9
About
Thomas Feix is a prominent researcher in human hand biomechanics and robotic grasping, whose work has profoundly shaped the fields of robotics, prosthetics, and rehabilitation engineering. His most influential contributions center on systematically analyzing how humans grasp and manipulate objects in real-world settings. His landmark two-part series on human grasping behavior (2014), which together has garnered nearly 300 citations, represents the first large-scale empirical study correlating grasp types, object properties, and everyday tasks — providing critical data for robotic manipulator design and rehabilitation targeting. Feix further advanced the field by developing a novel metric for evaluating the anthropomorphic motion capability of artificial hands (2012, 92 citations), offering roboticists a rigorous benchmarking tool. His work on postural synergies and nonlinear dimensionality reduction (2013, 53 citations) helped bridge human hand motion data with practical robotic programming. Extending into precision manipulation, Feix characterized the dexterous workspace of human fingertip interactions, with direct implications for surgical robotics and prosthetic design. With over 560 cumulative citations, his empirically grounded, data-driven approach has established essential foundations for building more capable, human-like robotic and prosthetic hands.
Research Focus
Key Achievements
Top Papers
- 1Analysis of Human Grasping Behavior: Object Characteristics and Grasp Type199 citations · 2014
- 2
- 3Analysis of Human Grasping Behavior: Correlating Tasks, Objects and Grasps88 citations · 2014
- 4Extracting Postural Synergies for Robotic Grasping53 citations · 2013
- 5Finding small, versatile sets of human grasps to span common objects46 citations · 2013
- 6Spatio-temporal modeling of grasping actions40 citations · 2010
- 7
- 8
- 9Dexterous workspace of human two- and three-fingered precision manipulation12 citations · 2014