Computational infrastructure: software, hardware and robot training support

The Computational Infrastructure group sees itself as a bridge between research and development and the IT services of the ZIH at TUD Dresden University of Technology. We build on its platforms and standards and supplement them with practical, domain-specific workflows for software, hardware, and robotics training – from data acquisition to simulation and training to execution in the field. The focus is on quickly usable, reproducible processes with clear defaults, templates, and documentation that increase efficiency without compromising security and compliance. This enables reliable experiments and accelerates iterations – from the first prototype to stable operation. The members of the group contribute expertise from their specialist research work and are involved in this activity alongside their main responsibilities. The group is a platform for knowledge exchange: we transfer experience from ongoing research into reusable workflows and support our teams in their application.

Computational infrastructure: software, hardware and robot training support

The Computational Infrastructure group sees itself as a bridge between research and development and the IT services of the ZIH at TUD Dresden University of Technology. We build on its platforms and standards and supplement them with practical, domain-specific workflows for software, hardware, and robotics training – from data acquisition to simulation and training to execution in the field. The focus is on quickly usable, reproducible processes with clear defaults, templates, and documentation that increase efficiency without compromising security and compliance. This enables reliable experiments and accelerates iterations – from the first prototype to stable operation. The members of the group contribute expertise from their specialist research work and are involved in this activity alongside their main responsibilities. The group is a platform for knowledge exchange: we transfer experience from ongoing research into reusable workflows and support our teams in their application.