
GreenBotAI was selected as part of the Franco-German funding call “Innovation Projects on Artificial Intelligence Technologies for Risk Prevention, Crisis Management and Resilience”. A total of five projects with a total volume of around 17.9 million euros were funded with the aim of strengthening crisis resilience through AI – not least in the areas of sustainability and supply chains. As early as 2020, funding lines to support scientific and industrial cooperation were formulated with reference to the Aachen Treaty, which are intended to contribute to European technological sovereignty.
GreenBotAI reduces the energy consumption of robots by over 25 percent
Smaller batch sizes, more complex production lines, increasing competitive pressure, unstable supply chains: against this backdrop, GreenBotAI took on robotics. Technically, GreenBotAI focused on the reaction and latency times of industrial robots, optimized path planning and the execution of certain tasks while the robot is still moving.
The algorithms developed enable industrial users to implement tasks such as fast on-the-fly bin picking, tracking, assembly and quality control without in-depth knowledge of robotics. Modular machine learning models were developed and evaluated in customized simulation environments with synthetic data, enabling robust, AI-driven 2D and 3D tracking in combination with force-torque control. Real-time communication via User Datagram Protocol (UDP) and a modular architecture ensure seamless data exchange and adaptability across a variety of robotic systems.
Reduce energy consumption without replacing robots
GreenBotAI worked on several levers to reduce energy consumption by an order of magnitude of over 25 percent. In addition to data-reduced AI models and accelerated gripping tasks, these include, above all, reduced computing power.
The project partners
The Fraunhofer IWU was the consortium leader in GreenBotAI. With around 670 highly qualified employees, it is represented at the Chemnitz, Cottbus, Dresden, Leipzig, Wolfsburg and Zittau sites. The focus of science and contract research is on components, procedures and processes as well as the associated complex machine systems and the interaction with humans – the entire factory. The Process Digitization and Manufacturing Automation division was in charge of GreenBotAI, with special expertise in testing technology, automation and artificial intelligence.
The Munich University of Applied Sciences HM is one of the largest universities in Germany with around 500 professors, 750 lecturers and 18,000 students. It offers 85 Bachelor’s and Master’s degree programs in the fields of engineering, business, social sciences and design.
Excellently networked in the business location of Munich, it maintains close contacts with professional practice and is committed to application-oriented teaching and research.
As an Exist start-up university, Munich University of Applied Sciences teaches its students specialist skills as well as entrepreneurial and sustainable thinking and action. Trained in interdisciplinary work and intercultural thinking, its graduates are prepared for a digitally and internationally networked working world. In rankings, they are among the most sought-after by employers throughout Germany.
INBOLT SAS is a Paris-based deep-tech startup specializing in the development of real-time robotic guidance systems based on 3D vision and artificial intelligence (AI). The company was founded in 2019 and aims to simplify automation in industrial production. It offers software solutions that are compatible with common 3D cameras and robots.
The École Nationale SupĂ©rieure d’Arts et MĂ©tiers (ENSAM) is a renowned French engineering school. The Laboratoire d’IngĂ©nierie des Systèmes Physiques et NumĂ©riques (LISPEN) is a research laboratory at ENSAM that focuses on the interface between physical and digital systems. Among other things, the laboratory conducts research into the analysis, simulation and control of complex dynamic systems, particularly in the fields of robotics, industrial robotics and automotive engineering.
Closing event on September 24 at the German Embassy in Paris
The project partners presented the GreenBotAI results to around 50 invited guests, including representatives from French ministries, the GTAI (German Trade and Invest) and the University of UPHF. KUKA, Schunk, Nikon SLM, Dassault Systèmes, Capgemini, Draft’n run, Multiverse Computing, DLR Projektträger and Helm & Walter IT Solutions enriched the event with contributions on robotics and AI.
The project partners would like to thank the German Embassy in Paris for making its premises available, in particular the envoy Ms Gudrun Lingner for the introductory words and Ms Stefanie Stegemann and her team for their active organizational support at the final event of GreenBotAI.
Contact:
- Fraunhofer IWU: Andreas Hemmerle | Phone +49 371 5397-1372 | presse@iwu.fraunhofer.de |
- Munich University of Applied Sciences: Ralf Kastner | | Phone +49 89 1265 1922
- INBOLT SAS: Louis Dumas | +33 6 98 89 74 60 | louis.dumas@inbolt.fr
- ENSAM LISPEN: Richard Béarée | +33 061 555 4835 | richard.bearee@ensam.eu
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Further links
👉 www.iwu.fraunhofer.de
Photo: Fraunhofer IWU (photo taken at Munich University of Applied Sciences)