Papers
8
Total Citations
196
H-Index
6
About
Georg Hinkel is a leading researcher at the intersection of neurorobotics and model-driven engineering, whose work has fundamentally advanced how biologically realistic brain models are connected to robotic systems. His primary research areas include spiking neural networks, robot control integration, and simulation platform development. Hinkel's most significant contribution is his central role in developing the Neurorobotics Platform (NRP), a comprehensive simulation framework that allows researchers to connect artificial brains to both virtual and real robots—a breakthrough that has garnered 117 citations. His 2015 work on a Domain-Specific Language (DSL) for integrating neuronal networks in robot control addressed the critical challenge of creating biologically plausible robot controllers, while his 2016 framework for coupled simulations of robots and spiking neuronal networks provided essential tools for iterative development. Beyond neurorobotics, Hinkel has made notable contributions to laboratory automation through the Tecan SiLA2 SDK, an open-source framework that simplifies device integration. His work on visual tracking models implemented on the iCub robot demonstrates practical applications of his research, showcasing how simulated brain circuits can drive real robotic behavior.
Research Focus
Key Achievements
Top Papers
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- 3A Framework for Coupled Simulations of Robots and Spiking Neuronal Networks17 citations · 2016
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- 7Experiences with Model-Driven Engineering in Neurorobotics5 citations · 2016
- 8HBP Neurorobotics Platform5 citations · 2017