Fred H. Hamker
Chemnitz University of Technology, Technische Universität Ilmenau
Papers
14
Total Citations
260
H-Index
8
About
Fred H. Hamker is a leading researcher at the intersection of computational neuroscience, cognitive robotics, and soft wearable technology. His work is unified by a deep interest in how biological systems perceive, attend, and act—and how these principles can be translated into intelligent machines. Hamker’s foundational contribution is a population-based inference model of visual attention, which explains how distributed neural processing gives rise to cognitive control. This seminal 2005 work, with 76 citations, remains a cornerstone in computational vision. In robotics, he has pioneered hierarchical architectures for peripersonal space representation and action selection, enabling humanoid robots to reach, recover from perturbations, and even learn drawing through central pattern generators. More recently, Hamker has made notable strides in soft robotics, designing high-performance textile actuators and data-driven sensory gloves for wearable robots—works with 42 and 35 citations, respectively. His interdisciplinary approach also extends to the philosophy of cognition, where he explores the minimal self through the lens of developmental robotics. With over 250 total citations across his top papers, Hamker’s career exemplifies how insights from neuroscience can drive innovation in both embodied AI and human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5A Humanoid Robot Learns to Recover Perturbation During Swinging Motion22 citations · 2018
- 6Enfolded Textile Actuator for Soft Wearable Robots21 citations · 2019
- 7Concrete Action Representation Model: From Neuroscience to Robotics11 citations · 2019
- 8Learning of Central Pattern Generator Coordination in Robot Drawing8 citations · 2018
- 9Building and Understanding the Minimal Self5 citations · 2021
- 10Task-relevant relaxation network for visuo-motory systems4 citations · 1996