Imagine a smart robot dog or rover that can see through thick smoke and rubble using special radar, acting as a teammate for rescue workers. It uses AI to find victims and plan the safest path without needing a human to steer it every second. It's like having a high-tech scout that talks to rescuers and helps them avoid danger in chaotic scenes.
First responders face high fatality risks due to low visibility and uncertainty in disaster zones. Current robotics lack the autonomy and trust needed to work as true partners to humans in these chaotic settings.
A modular platform of semi-autonomous and autonomous UGVs. Key components include 3D radar-based mapping, a ROS-MQTT communication bridge, and an AI-driven path planning system.
If you are a rescue service dealing with low-visibility disaster zones — this project developed autonomous UGVs that use 3D radar to detect threats and victims. This allows your teams to enter hazardous areas with better situational awareness and lower risk of fatalities.
If you are a plant operator dealing with toxic leaks or smoke-filled environments — this project developed a modular robotic platform that works in symbiosis with humans. It provides a secure way to scout dangerous zones without risking human lives.
If you are a defense unit dealing with chaotic, dynamic combat or rescue environments — this project developed AI-driven path planning and natural language interaction. This ensures robots can be deployed as trustworthy partners to supplement human soldiers in the field.
Based on available project data, specific unit pricing is not provided; however, the project is supported by an EU contribution of EUR 3,990,605 for development.
Yes, the project is designed as a modular platform and is coordinated by a large European industrial leader in the crisis management market to facilitate market entry.
Based on available project data, the project includes a Technology and Standardization Framework to align with regulations, but specific licensing terms are not detailed.
The system uses a ROS-MQTT bridge to unify communication from all UGVs to a central Control Center, allowing it to plug into existing command structures.
The project runs from 2024-09-01 to 2027-08-31, with results being evaluated through four realistic pilots during this period.
The consortium is highly commercially oriented, with a 50% industry ratio (7 industrial partners, including 3 SMEs). Led by CS GROUP, a large industrial leader in crisis management, the group balances academic research from 3 centers with the practical needs of 4 other entities, including first responders and local authorities across 6 countries.
Contact CS GROUP in France for partnership and licensing inquiries.
Contact SciTransfer to connect with the CARMA consortium for pilot integration.
