GIM Robotics and xtonomy receive funding for Eurostars project everLOC with a total budget of over 1.4 M€
GIM Robotics and xtonomy received the prestigious Eurostars grant support to develop a solution for GNSS-free multimodal localization and situational awareness for mobile machines in challenging outdoor and non-road environments.
The project has been assessed by Eureka (Eurostars 3 – Call 4) in strong competition with other applications from all over Europe. The research project proposed by the consortium received excellent ratings by Eureka, regarding technological uniqueness and potential applications in the future world, where the autonomy level of the mobile working machines is gradually going up and full-bloodied field and service robots are being introduced to a wide spectrum of industries
Eurostars is part of the European Partnership on Innovative SMEs. The partnership is co-funded by the European Union through Horizon Europe.
xtonomy develops systems and modules based on indurad’s advanced scanning radars and GIM Robotics has extensive knowledge on the usage of various LiDAR based systems in numerous use cases. Together the consortium will create a GNSS free solution for relevant stakeholders. The everLOC project will run for 2 years starting in October 2023.
“There is a clear demand for a robust one-stop localization and situational awareness solution for field and service robots and working machines operating in unstructured environments. Modular and easy to install solutions capable of performing well in GNSS-challenged or even denied environments in all-weather conditions without any supportive infra-structure are nowhere to be found, at least not without an extensive price tag.” says Mr. Pertti Lukkari, CEO, GIM Robotics.
“Localization is vital for any autonomous operations performed by mobile machines. Equally important is the machine’s capability to have situational awareness (SA). We will develop a multimodal localization and SA tool, which provides both functionalities in GNSS challenged or even denied environments in all-weather conditions. It is based on our joint deep knowledge of radars, LiDARs and related in-house algorithms. The tool is highly modular with standardized interfaces and middleware implementations, easy to deploy to different machines and integrates additional information sources for best possible 6D pose estimates and SA updates.” says Dr. Christian Riedel, CEO, xtonomy.
About xtonomy
xtonomy transforms large mobile machines to work autonomously in the roughest mining and industrial environments — we provide autonomy everywhere. Our Autonomous Haulage System (AHS) for trucks finds application in mining environments, autonomously hauling material, and interacting with (semi-)automated shovels, loaders, and crushers, while utilizing a robust radar-based perception systems for GNSS-denied and rough environments. In industrial environments like steel plants, we automate various material handling and haulage tasks with large mobile machines. Within our automation ecosystem we also provide subsets of full autonomy, like operator assistance, tele-operation and collision avoidance systems. Read more: www.xtonomy.ai
About GIM Robotics
GIM Robotics provides technology to machine manufacturers and OEM to accelerate their adoption of autonomous technology to make their machine more intelligent, and increase their efficiency, precision, and safety. Our expertise covers e.g., sensor fusion, real time 3D localization and mapping, traversability analysis, computer vision systems and dynamic object tracking. Company’s universal 3D mapping and localization solutions are not fixed to any particular environment or sensor technology and have been used for example in mining, construction, agriculture, forestry, and marine applications. Proprietary solutions are based on natural infrastructure and no additional infrastructure is needed. Our automation software for mobile machinery works in all weather conditions. Read more: www.gimrobotics.fi
More information:
Coordinator Dr. Mika Vainio / GIM Robotics / mika.vainio@gimrobotics.fi
