Thomas Nierhoff
Papers
11
Total Citations
144
H-Index
7
About
Thomas Nierhoff is a leading researcher in physical human-robot interaction and robotic manipulation, with a focus on adaptive control and trajectory optimization. His most influential work, "Human-preference-based control design: Adaptive robot admittance control for physical human-robot interaction" (2012, 39 citations), introduced a novel adaptive admittance control scheme that prevents oscillatory behavior in closed kinematic chains—a critical advance for safe and intuitive human-robot collaboration. Nierhoff's contributions to online motion generation are equally impactful, including a spline deformation method for dynamically consistent adaptation of fast motions (2017, 25 citations) and Laplacian trajectory editing for spatial adaptation (2015, 17 citations). His work on robotic billiards demonstrates a unique integration of perception, planning, and execution, notably in "Playing pool with a dual-armed robot" (2011, 16 citations) and "Robotic Billiards: Understanding Humans in Order to Counter Them" (2015, 12 citations), where he pioneered human behavior anticipation in competitive scenarios. Nierhoff's research has accumulated over 140 citations, establishing him as a key figure in developing adaptive, human-aware robotic systems that operate safely and effectively in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Spatial adaption of robot trajectories based on laplacian trajectory editing17 citations · 2015
- 4Playing pool with a dual-armed robot16 citations · 2011
- 5Robotic Billiards: Understanding Humans in Order to Counter Them12 citations · 2015
- 6Fast trajectory replanning using Laplacian mesh optimization11 citations · 2012
- 7
- 8Strategic play for a pool-playing robot7 citations · 2012
- 9Full body motion adaption based on task-space distance meshes3 citations · 2014
- 10