Project cooperationUpdated on 2 July 2025
New Area of Robotics using Edge AI and ROS2
About
Klepsydra is looking for partners with interest in Robotics and are utilising ROS2 in new ways and that can benefit from our ROS2 acceleration and AI inference engine, enabling new applications for space robotics thanks to increased achievable performance on space computers.
Klepsydra AI and Klepsydra ROS2 - A Powerful combination: The Klepsydra ROS2 executor implements a novel ring-buffer design. This results in proven performance increase on several space computers and the Raspberry Pi4 with Real-time Linux. These results have been validated against the de facto real-time benchmarking standard:
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2x - 8x increase in data processing capabilities with respect to standard techniques (e.g. ROS).
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5x - 10x increase in image processing capability with respect to standard techniques (e.g.,OpenMP).
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25%-50% less power consumption with respect to standard techniques.
The solution is platform independent and designed for easy integration.
We are seeking partners that want to advance robotics!
Topic
- Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
- Enabling technologies | Robotic / handling - and assistance systems
Type
- Expertise offered
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Organisation
Similar opportunities
Project cooperation
- Expertise offered
- Enabling technologies | Robotic / handling - and assistance systems
- Data technologies | (AI based) process and system control technologies
- Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
- Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
Klaus Buchheim
Business Development at Klepsydra Technologies AG
Zug, Switzerland
Project cooperation
- Already defined
- Consortium seeks Partners
- Enabling technologies | Robotic / handling - and assistance systems
- Enabling technologies | (Advanced) Materials and additive manufacturing
- Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
- Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
- Enabling technologies | Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)
- Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
- Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
- Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)
Angeles Ibaibarriaga
Founder at Segunda Generación SpA
Lolol, Chile
Project cooperation
- Already defined
- Expertise offered
- Consortium seeks Partners
- Enabling technologies | (Advanced) Materials and additive manufacturing
- Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
Dante Jorge Dorantes Gonzalez
Professor at MEF University
Istanbul, İstanbul, Türkiye