RESI-TSN aims to develop a hardware-based solution for autonomous and resilient TSN networks to address the growing demand for secure and efficient network infrastructures in the face of increasing cyber threats and load requirements. By continuously analyzing network data, the system will optimize configurations in real-time and adapt to threats or performance changes with minimal disruption. ArtiMinds is developing resilient TSN software components and intuitive configuration tools for industrial robotics, aiming to create a TSN environment that supports sensor-adaptive robotic applications while demonstrating its practicality in a realistic production scenario.