Steffen Puhlmann
Papers
5
Total Citations
140
H-Index
4
About
Steffen Puhlmann is a robotics researcher whose work sits at the intersection of dexterous manipulation, human grasping behavior, and tactile sensing. His research focuses on understanding how humans grasp and manipulate objects, and translating those insights into capable robotic systems. An early contribution to the field came through his systematic analysis of human grasping strategies, producing a taxonomy that categorizes behavior in ways directly applicable to robotic hand design — work that has accumulated over 25 citations. Building on this, his 2016 study of nearly 3,400 grasping trials revealed how humans exploit environmental constraints to achieve versatile, robust grasps, offering a compact representational framework for robotic transfer. Puhlmann's most-cited work, "Surprisingly Robust In-Hand Manipulation" (2021, 68 citations), demonstrated that even straightforwardly derived manipulation skills on a compliant anthropomorphic hand can generalize impressively across objects of varying shape, size, and weight — a finding with significant implications for real-world robot deployment. Complementing this, his development of a low-cost, flexible multi-taxel tactile sensor advances the ability of soft robotic systems to recognize objects through touch, addressing a critical sensing gap in compliant robotics. Across his career, Puhlmann has consistently bridged human motor behavior research and practical robotic engineering.
Research Focus
Key Achievements
Top Papers
- 1Surprisingly Robust In-Hand Manipulation: An Empirical Study68 citations · 2021
- 2A compact representation of human single-object grasping28 citations · 2016
- 3A taxonomy of human grasping behavior suitable for transfer to robotic hands25 citations · 2015
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