Henning Groenda

FZI Research Center for Information Technology

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About

Henning Groenda is a researcher at the intersection of robotics and computational neuroscience, specializing in neurorobotics and model-driven engineering. His work focuses on bridging the gap between biological neural systems and robotic control, enabling more adaptive and biologically plausible robot behavior. Groenda’s major contributions include developing a domain-specific language (DSL) for integrating neuronal networks into robot control systems, which simplifies the creation of bio-inspired controllers. He also designed a framework for coupled simulations of robots and spiking neuronal networks, addressing the challenge of iterative development and reducing the need for frequent manual adjustments. His most-cited paper, "A Domain-Specific Language (DSL) for Integrating Neuronal Networks in Robot Control" (2015), has garnered 21 citations, while his framework paper (2016) has 17 citations. Groenda’s work in model-driven engineering for neurorobotics, as highlighted in his 2016 paper with 5 citations, demonstrates his commitment to systematic, reusable approaches in this emerging field. His research is pivotal for advancing autonomous systems that mimic biological intelligence, offering tools and methodologies that accelerate the development of adaptive, neurally-controlled robots.