Project cooperationUpdated on 27 January 2026
Eye twin for Drone, Robots, XR/VR
About
A 5G-connected ROS2 bridge for industrial buses integrates vision, audio, and AI acceleration capabilities, enabling seamless communication for robots, drones, and defense applications. This system leverages ROS2's DDS-based communication framework to interface with various industrial field buses like CANopen, EtherCAT, and PROFINET. The bridge supports high-bandwidth sensor data streaming, including camera feeds and audio signals, while utilizing AI accelerators for on-edge processing. 5G connectivity ensures low-latency communication between edge devices and cloud infrastructure, enabling real-time decision-making and control. This versatile solution can be deployed in diverse scenarios, from factory automation to autonomous drones in defense operations, providing a robust and flexible platform for next-generation robotic systems.
Similar opportunities
Project cooperation
KiigGen: Edge AI retrofit with 3D, interface bridge and real time operation
Darshna V Katkoria
Project Manager at Logiicdev GmbH
Graz, Austria
Service
Robotics , AI and IoT Solutions
- R&D Partner
- Demonstrator
- Technology Partner
ILHAN TOSYALI
FOUNDER at Tosso
Istanbul, Türkiye
Project cooperation
Hydrogen drone for logistics scenarios and application
- Other
- R&D Partner
- Demonstrator
- Technology Partner
- Validator/Living lab
- Call Module 2026-05: Hydrogen and renewable fuel
- Call Module 2026-04: Industrial carbon management
- Call Module 2026-07: Heating and cooling technologies
- Call Module 2026-08: Integrated regional energy systems
- Call Module 2026-09: Integrated industrial energy systems
- Call Module 2026-10: Clean energy integration in the built environment
- Call Module 2026-01: Integrated energy system resilience in a changing environment
- Call Module 2026-03A/03B: Advanced renewable energy (RE) technologies for power production
- Call Module 2026-06: Stationary battery technologies and systems for climate-neutral industry and built environment
Christoph Wenge
research at Fraunhofer Institute for Factory Operation and Automation IFF
Magdeburg, Germany