User Group: Researcher

  • Building with bamboo for a low-carbon future

    Building with bamboo for a low-carbon future

    Nicolas Kubail Kalousdian and Achim Menges have successfully completed their project “Task and Motion Planning for Collaborative Robotic Construction with Deformable Materials”. The project created a robotic system capable of constructing buildings with bamboo. By using this natural and sustainable material, this robotic system enables more sustainable and low-carbon building practices, demonstrating how AI and robotics research can solve real-world problems. 

    The project was funded by the Cyber Valley Research Fund and was carried out between 2021 and 2024 at the Institute of Computational Design and Construction (ICD), University of Stuttgart. It addressed the challenges of using robotic manipulation when constructing with non-standardized, flexible materials like bamboo.

    The project’s key achievements included:

    Robotic system development

    The project designed and implemented a custom mobile robotic system optimized for handling bamboo. To ensure effective manipulation of this material, the research team designed the robot’s kinematics and control strategies in response to its flexible and anisotropic structure.

    Task and motion planning (TAMP)

    The research team developed a hybrid approach using Reinforcement Learning and Logic-Geometric Programming. Reinforcement Learning was used for dynamic adaptation in bending tasks, while Logic-Geometric Programming was applied for structured, multi-step planning of construction sequences. This approach meant the robotic system could combine adaptability and precision.

    Simulation and learning framework

    To model bamboo’s mechanical behavior, the project developed a high-fidelity simulation environment to train the robotic system’s Reinforcement Learning policies, before being used in the real world. The researchers improved this transfer from simulation to reality by using Domain Randomization and Curriculum Learning techniques, so that the robotic system could work reliably with real bamboo.

    Experimental validation

    In both simulated and real-world experiments, the robotic system successfully demonstrated reaching, transporting, and assembling bamboo elements. The researchers also tested cooperation between multiple robots, showing the potential for large-scale autonomous construction.

    Architectural scale demonstrator

    The project culminated in the development of a full-scale robotic demonstrator that could execute key construction tasks. Although some mechanical and electrical components required further refinement, the demonstrator proved the feasibility of robotic bamboo construction.

    By contributing to the advancement of robotic construction methodologies, the outcome of this research project enabled robots to work with natural, renewable materials in a scalable and adaptive manner. In doing so, it provides a pathway to more sustainable, low-carbon building practices, fulfilling the Cyber Valley mission of turning AI and robotics research into a sustainable future for everyone.

    This project produced the following peer-reviewed publications: 

    N. K. Kalousdian et al., “Learning Robotic Manipulation of Natural Materials With Variable Properties for Construction Tasks”. In: IEEE Robotics and Automation Letters, Vol. 7, No. 2, April 2022, pp. 5749-5756. DOI: 10.1109/LRA.2022.3159288.

    About the Cyber Valley Research Fund

    The Cyber Valley Research Fund was established to support Cyber Valley research groups undertake basic research in the fields of artificial intelligence and robotics. The fund totaled five million euros, including contributions from six of Cyber Valley’s founding corporate partners: Amazon, BMW, Bosch, IAV, Mercedes-Benz, Porsche, and ZF. It supported 20 research projects, the first of which began in 2020, and the final of which will conclude in 2026.

  • Last month at Cyber Valley

    Last month at Cyber Valley

    There was a lot happening at Cyber Valley last month: here’s a quick roundup of our highlights. Read on to discover how Cyber Valley is translating excellent research into real-world applications for a better future for everyone. 

    Cyber Valley at VENTURE SPRIND 2026 

    On April 14, Cyber Valley hosted a session at VENTURE SPRIND 2026 at the Futurium in Berlin. 

    The session explored how the Cyber Valley ecosystem, together with the Federal Agency for Breakthrough Innovation (SPRIN-D), supports the transition from research to market. Scientists and founders who have experienced this journey shared practical insights into what makes research transfer successful. The discussion highlighted key elements such as strong ecosystem support, effective funding structures, and the shift from research to building a company. 

    Many thanks to Alex Diehl (Senior Advisor at Cyber Valley GmbH), Martin Kiefel (Co-founder of polybot), and Wieland Brendel (University of Tübingen, ELLS Institute Tübingen, and Co-founder of polybot) for their contributions. 

    Exchange with FastCode AI Labs 

    On April 20, Arjun Jain, founder of FastCode AI Labs, visited Cyber Valley in Tübingen to discuss potential collaboration. 

    FastCode AI Labs helps organizations harness AI to transform how they innovate, operate, and compete from research to real-world deployment. Now registered in Baden-Württemberg, FastCode AI Labs is applying to join the Cyber Valley Start-up Network. Thank you for the visit. We look forward to welcoming you to the network! 

    Delegation visit from JTC Singapore 

    On April 23, we welcomed a delegation from JTC Corporation to Cyber Valley in Stuttgart. The corporation is Singapore’s master developer behind the Jurong Innovation District (JID), the country’s leading advanced manufacturing hub. 

    The delegation, including Christine Wong (Assistant CEO, Cluster Group), Lim Junwei (Director, Industrial Estates (North) Cluster), and Jessica Chen (Manager, Precision Engineering Department), received an overview of the regional ecosystem. With JTC’s network of around 700 start-ups and Cyber Valley’s network of more than 100, there is strong potential for collaboration, including a possible joint exchange initiative. 

    Spektrum der Wissenschaft readers visit  

    On April 24, we had the pleasure of welcoming readers from “Spektrum der Wissenschaft” at Cyber Valley in Tübingen. 

    Organized by the Max Planck Institute for Biological Cybernetics, guests enjoyed neuroscientific talks and lab visits. Moreover, they got a glimpse into one of Europe’s leading centers for AI and modern robotics, showing them how excellent research can be transferred into real-world applications that benefit society. After an introduction to the Cyber Valley Innovation Campus, there was plenty of time for questions and the chance to enjoy the view of the Swabian Alb from our roof terrace. Thanks for the visit and the lively discussions! 

    Cyber Valley Impulse on health and life sciences 

    On April 28, the Cyber Valley Impulse on health and life sciences took place in Tübingen. Experts from science and industry shared insights on how AI-driven technologies can enhance healthcare, biomedical research, and life-science applications. 

    Thanks to our excellent speakers and contributors: Katja Mombaur (High Performance Humanoid Technologies (H2T), Institute for Anthropomatics and Robotics (IAR), Karlsruher Institut für Technologie (KIT)), Max B. Schäfer (Institut für Medizingerätetechnik, Universität Stuttgart), Andrea Leibfried (Health + Life Science Alliance Heidelberg Mannheim), Yannick Sauer (Carl Zeiss Vision International GmbH), Christian M. Schürch; (Vicinity Bio GmbH), and Klara Altintoprak (BioRegio STERN Management GmbH).

    The next Impulse on govtech and cyber security will happen on June 16 in Karlsruhe. Registration will open in early June. Find out more.

  • Success stories from the Cyber Valley Innovation Campus

    Success stories from the Cyber Valley Innovation Campus

    The Cyber Valley Innovation Campus brings top scientists to Baden-Württemberg to advance AI and robotics research. These scientists are paving the way for the commercial application of their research to the benefit of people, industry, and society.

    Members of the Cyber Valley Innovation Campus include the Max Planck Institute for Intelligent Systems (MPI-IS), Universities of Tübingen and Stuttgart, Fraunhofer IAO and IPA, ELLIS Institute Tübingen, and Karlsruhe Institute for Technology (KIT). As leading research institutions, they have announced the following exciting developments since the start of 2026.

    Bernhard Schölkopf joins UN global AI panel

    Bernhard Schölkopf (Scientific Director of the ELLIS Institute Tübingen, Director of Empirical Inference at the MPI-IS, and Co-Director of the Tübingen AI Center) has been appointed to the United Nations’ International AI Scientific Panel. Schölkopf will represent Germany while contributing to the international dialog on AI governance. Read more.

    André Biedenkapp awarded Emmy Noether funding for research on generalization in reinforcement learning at KIT

    Over the next three years, André Biedenkapp will receive approximately 1.2 million euros for his Emmy-Noether research group. Biedenkapp’s research is funded by the Deutsche Forschungsgemeinschaft (DFG) and will examine how AI systems can better transfer their learned behavior to unknown situations. Read more about his research project here (German).

    Jens Kober joins ELLIS Unit Stuttgart and Fraunhofer IPA

    On March 1, Jens Kober joined the University of Stuttgart as a full professor at the Institute for Artificial Intelligence. His position is a joint appointment, as he is additionally Research Team Lead at Fraunhofer IPA, showcasing the importance of collaboration between Cyber Valley Innovation Campus members. Kober was previously Associate Professor at TU Delft and Co-director of the ELLIS Unit Delft. Read more here.

    ELLIS Institute Tübingen cooperates with the UK on AI safety

    Maksym Andriushchenko and Bernhard Schölkopf from the ELLIS Institute Tübingen contributed to the second annual International AI Safety Report commissioned by the UK government. The report was authored by more than 100 leading AI experts and considers the latest scientific findings on AI’s risks and capabilities. Read more.

    Meanwhile, other scientists from the ELLIS Institute Tübingen are working with the UK’s Department for Science, Innovation and Technology. Sahar Abdelnabi, Maksym Andriushchenko, and Jonas Geiping have been granted two years of funding to research AI safety. Read more.

    Peer Nowack begins project on climate change and AI at KIT

    In collaboration with the Carl-Zeiss-Stiftung, Peer Nowack is exploring the concept of an “AI world model”. This approach uses AI to model long-term changes in global and regional weather patterns. The project will continue until 2031 and has an initial funding budget of five million euros. Read more about the project here.

    Maksym Andriushchenko awarded a grant for research into AI safety at ELLIS Institute Tübingen

    Coefficient Giving has awarded Maksym Andriushchenko, Principal Investigator at the ELLIS Institute Tübingen, a grant of one million dollars for his “AI Safety and Alignment” research group. His research will play a pivotal role in AI safety by reducing the risks from general-purpose AI models and ensuring that AI is deployed safely. Read more here.

    Maria Wirzberger and Thomas Wortmann appointed as W3 professors at the University of Stuttgart

    Two Cyber Valley fellows— Maria Wirzberger and Thomas Wortmann—have been appointed as W3 professors at the University of Stuttgart. As spokesperson for IRIS, Wirzberger continues to play a pivotal role in Cyber Valley’s public engagement activities. In 2021, Wortmann was appointed as the first architect at IMPRS-IS to expand the frontiers of computational methods in architecture, engineering, and construction.

    Renate Sachse joins MPI-IS in Stuttgart as an Independent Research Group Leader

    Since January 1, Renate Sachse has been leading the independent research group “Mechanics of Intelligent Structures”. Her group develops high-fidelity simulation models to capture the complex, nonlinear deformation behavior of thin-walled, compliant, and soft robotic systems. Read more here.

  • 2019: Reducing construction waste with AI—interview with Optocycle

    2019: Reducing construction waste with AI—interview with Optocycle

    In 2016, important actors from science, industry, and politics founded the Cyber Valley Consortium, which became the first Innovation Campus in Baden-Württemberg. Ten years on in 2026, we’re revisiting the most important milestones from the last decade. Each month, we’ll focus on a particular year since Cyber Valley’s beginning. 

    This month, we’re looking back to 2019, when the Cyber Valley Start-up Network was founded to build and nurture a community of start-up entrepreneurs. The Cyber Valley Start-up Network has grown rapidly over the past years, from the initial seven founding members at the end of 2019 to more than 100 start-ups in 2026.

    In 2022, Optocycle joined the Start-up Network. Optocycle develops AI-based systems for the optical classification of construction waste. Their technology enables optimal use of demolition material, promoting a circular economy.

    In the following interview, CEO Max-Frederick Gerken explains how the idea for Optocycle emerged, how being part of the Start-up Network has supported the company’s development, and how AI-driven material classification can contribute to a more circular and sustainable construction industry.

    How did the idea for Optocycle originate, and what problem were you initially trying to solve?

    Interestingly, we didn’t start in construction. Initially, we were building AI to recognize fruits and vegetables at supermarket checkouts. The pivot came when a contact from the recycling industry highlighted a much bigger problem: construction waste is still classified manually: slow, subjective, and inefficient.

    We realized that the core issue is missing data. That’s why we built Optocycle: combining optical sensor systems with AI to create a reliable, real-time data layer for material flows and enable true circular construction.

    How did your research and experience within the Cyber Valley ecosystem contribute to founding the company?

    It didn’t directly contribute to founding the company, as Optocycle was already established at that point. However, we did benefit from funding within the Cyber Valley ecosystem, which supported us in scaling our team and further developing our technology. Beyond that, the ongoing exchange within the network has been consistently valuable and interesting.

    The Optocycle team | (c) Optocycle

    How do you see Optocycle’s work contributing to a future where AI research has a long‑term, positive, and sustainable impact on society?

    At Optocycle, we see our work as a very applied example of how AI can drive tangible, long-term positive impact, particularly in industries that have historically been difficult to transform, such as construction and circular materials management.

    Our core contribution lies in using AI and advanced sensing technologies to make material flows transparent and measurable. This is a prerequisite for any functioning circular economy. Today, a significant share of valuable materials is still downcycled or lost entirely because there is insufficient data about their composition and quality. By generating reliable, real-time data, we enable better decision-making across the value chain, from sorting and recycling to reintegration into new products.

    From a sustainability perspective, this directly contributes to reducing waste, lowering CO₂ emissions, and preserving finite resources. But beyond the environmental aspect, we also see a structural impact: AI, when deployed thoughtfully, can help modernize traditionally analog industries and make them more efficient, data-driven, and resilient.

    Importantly, we believe that the long-term societal value of AI will depend less on abstract breakthroughs and more on its integration into real-world systems. Our approach is therefore to embed AI into physical processes with clear economic and ecological benefits. This ensures that the technology is not only innovative, but also scalable, economically viable, and aligned with sustainability goals

    What was the biggest lesson you learned from your founding journey? And what advice would you give to others who are considering taking the leap?

    The biggest lesson from our founding journey has been the importance of building solutions strictly around real customer needs, not for the sake of technology or innovation itself. Especially in deeptech and AI, there’s a strong temptation to develop sophisticated solutions first and look for applications later. In practice, that approach rarely leads to sustainable businesses.

    What truly made a difference for us was maintaining a strong customer focus from early on: deeply understanding pain points, validating assumptions quickly, and iterating based on real-world feedback. This ensures that what you build is not only technically impressive, but also commercially relevant and scalable.

    For anyone considering taking the leap, the advice would be: stay as close to your customers as possible. Talk to them early, challenge your own assumptions, and be willing to adapt your solution, even if that means pivoting away from your original idea. Execution matters, but direction matters more, and that should always be guided by real demand.

    To celebrate Cyber Valley’s ten-year anniversary, we’ll be sharing a variety of content across our website and social media channels reflecting on milestones from the last decade. Stay tuned for the next installments! 

  • Cyber Valley Impulse on govtech and cybersecurity

    Cyber Valley Impulse on govtech and cybersecurity

    This edition of Cyber Valley Impulse focuses on govTech and cybersecurity. Experts from research, industry, the public sector, and the innovation ecosystem will exchange insights on how AI-driven technologies can strengthen digital governance, enhance public services, and improve cybersecurity resilience.

    As part of the Cyber Valley Impulse event series, this edition highlights applications of intelligent systems in government technology and cybersecurity. Advances in artificial intelligence, machine learning, and data-driven approaches are reshaping public services, digital governance, and cybersecurity, creating new opportunities for secure, efficient, and citizen-centric innovation.

    The event provides a platform for knowledge exchange, discussion, and networking between academia, industry, and the innovation ecosystem.

    What to expect

    • Insights into current developments and challenges in AI for health and life sciences.
    • A science marketplace to showcase emerging AI projects in the field.
    • Exchange between researchers, industry practitioners, and innovators.
    • Opportunities for collaboration and community building within the region.
    • Informal networking with experts and stakeholders.

    Program

    A detailed agenda, speakers, and session format will be announced soon.

  • Next Frontier AI Roadshow at Cyber Valley

    Next Frontier AI Roadshow at Cyber Valley

    SPRIND is coming to Cyber Valley as part of its Next Frontier AI roadshow—Europe’s most radical initiative for genuine technological independence in AI. Sign up for a chance to learn more about frontier AI, the challenge and to connect with like-minded individuals.

    ​SPRIND is creating the conditions for Europe to discover and define the next frontier in AI—not by catching up, but by leaping forward with entirely new paradigms. Through massive funding (initially €125 million, non-dilutive), radical technological freedom, and a foundation of European values, SPRIND is establishing the environment to build three new Frontier AI Labs for research and deployment in Europe.

    As a leading center of excellence in AI research and robotics, Cyber Valley is proud to host this stop of the roadshow, bringing together top talent from academia, startups, and industry in our ecosystem.

    ​This isn’t your typical tech conference. No auditorium marathons. No sitting through panels while secretly checking your phone. This is an open, interactive ecosystem designed to go deep into what frontier AI actually means, to hear from Europe’s AI leaders, and know more about the initiative and the challenge.

    ​It’s designed to turn curiosity into clear intent, and strangers into potential co-founders.

    ​Who should attend–and why

    Top AI talent and promising juniors. Researchers with radical ideas. Engineers ready to build. Anyone who believes Europe can set the standard, not just keep up.

    Doors open at 14:00. Program starts at 14:45.

    Come if

    • ​You’re already certain you’re applying and want to meet potential co-founders and sharpen your thesis
    • ​You’re on the fence and need to see whether this is actually for you
    • ​You have a team but need more people to fill key roles
    • ​You’re flying solo with a strong idea and need to find your first collaborator
    • ​You work at a big lab and wonder “could I do this myself?”
    • ​You’re a professor, investor or run an AI network with access to the right people and teams

    What’s on the agenda

    Inputs on the Initiative, to shake up assumptions about where the next S-curve actually is.

    Open Q&A on the fundamentals of frontier AI, the labs we want you to build, and how the €125M → €1B funding path works. Ask us anything.

    Networking and the opportunity for 1:1 time with the Next Frontier AI team. Questions about your application, your idea, the fine print? We’re excited to talk. 

    Pressure-test your frontier thesis. Not a pitch. Not a spotlight. Just an open table for real feedback on your thinking.

    ​Food and drinks throughout – Continuous, distributed, designed to keep conversations going. No forced breaks. Standing, grazing, talking.

  • Last month at Cyber Valley

    Last month at Cyber Valley

    There was a lot going on at Cyber Valley last month. Here’s a quick rundown of our highlights:

    On March 4, we had the pleasure of welcoming journalists from across Europe to Cyber Valley Tübingen. The program, organized in collaboration with the Deutsch-Französisches Institut in Ludwigsburg, offered a fantastic overview of the research, innovation, and collaboration happening across the Cyber Valley Innovation Campus. The afternoon kicked off with inputs from Florian K. Mayer (CEO of Cyber Valley GmbH), Tobias Leismann (Managing Director at ELLIS Institute Tübingen), and Philipp Hennig (Director at Tübingen AI Center). Christoph Koch, former “Journalist in Residence”, gave insights into the Journalist in Residence Program, followed by pitches from the Cyber Valley Start-up Network: Laura Neusser (Chief Communication Officer at Optocycle) and Anand Waghmare (CEO and Co-Founder of Yugen Space). The afternoon was rounded off by lab visits from Tsvetelina Alexiadis and Michael Muehlebach at the Max Planck Institute for Intelligent Systems, as well as Martin Kiefel, Co-Founder of polybot.

    Photo: Cyber Valley

    On March 17, the Cyber Valley Impulse series began, focusing on AI in Mobility and Aerospace. Researchers, start-ups, corporates, and investors met at the Max Planck Institute for Intelligent Systems in Stuttgart to discuss vision-based perception for aerial robots, AI in aerospace systems, automated driving, and new funding opportunities in mobility technologies. Speakers included: Aamir Ahmad (University of Stuttgart), Thilo Zimmermann (Innovation Campus Future Mobility), Zamira Daw Perez (Institute of Aircraft Systems), Ulrike Weinrich (FKFS Research Institute for Automotive Engineering and Powertrain Systems), Anand Waghmare (Yugen Space), and Frederik Boenke (NUVUS).

    Photo: Cyber Valley

    On March 19, we were delighted to welcome representatives from IPAI and IPAI Foundation at Cyber Valley in Tübingen for an exchange on future collaboration opportunities. It was a pleasure to host Jana Strattner, Tamara Pyter, and Sofia Willhauk—three driving forces behind IPAI’s mission to build a vibrant ecosystem for applied artificial intelligence. 

    By aligning strengths and working together, we can create even greater value for the ecosystem as a whole in Baden-Württemberg—reflecting a responsible approach that also considers the social and ethical implications of AI. The exchange highlighted our common goals: accelerating the transfer of AI research into applications, strengthening networks, and building meaningful collaborations across regions. Through this collaboration, we aim to build bridges between research, society, and industry to create a vibrant ecosystem for applied AI in Baden-Württemberg.

    Photo: Cyber Valley

    On March 27, representatives from “Tourismus und Stadtmarketing Tübingen GmbH” visited Cyber Valley in Tübingen. Tübingen’s tour guides and Stocherkahn operators were given an introduction to the Cyber Valley Innovation Campus. After an overview presentation, our guests joined a guided tour through the campus in Tübingen. At Cyber Valley, our mission is to turn AI and robotics research into real-world solutions that benefit people, industry, and society. An important part of that is engaging with the public and opening our doors to the community. 

    That’s why we are excited to launch our upcoming Campus Tours in Tübingen, where everyone will be welcome to explore the campus and learn more about the research happening here. Dates will be announced soon.

    Photo: Cyber Valley

    On March 30, we welcomed members of the European Parliament Ilhan Kyuchyuk, Axel Voss, Brando Benifei, and Anze Erbeznik to Cyber Valley in Stuttgart for an engaging exchange on Europe’s evolving AI landscape. Together with Regina Ammicht Quinn and Jessica Heesen from the International Center for Ethics in the Sciences and Humanities at Eberhard Karls Universität Tübingen, as well as Florian K. Mayer, CEO of Cyber Valley GmbH, they discussed key developments shaping Europe’s AI ecosystem. Topics included European AI legislation and the EU Artificial Intelligence Act, the ethical implications of AI, digital autonomy, and questions surrounding our digital afterlife.  

    Photo: Cyber Valley
  • Soft-Sensing Interfaces with Multifunctional Smart Materials

    Overview

    Led by Ardian Jusufi, this project investigated how biology and biomechanics can inform the design of soft robotic systems. Its goal was to develop flexible, stretchable, and potentially biocompatible materials that can sense deformation, pressure, and movement while adapting to complex surfaces.

    The research combined soft sensors, hydrogel actuators, and bio-inspired robot designs. It also used robophysical models—simplified physical robots that allow researchers to test how biological bodies move and interact with their environment. The project concluded in February 2023.

    Key results

    • Developed flexible and stretchable sensors for measuring strain, pressure, curvature, and body deformation.
    • Improved pressure sensing in situations where the sensor itself is stretched, addressing the trade-off between sensitivity, robustness, and durability.
    • Created multilayer hydrogel actuators with improved strength, stretchability, and fluidic performance.
    • Integrated soft sensors into bio-inspired robots, including an underwater robotic fish, to measure body movement and provide feedback during locomotion.
    • Used soft robotic fish and animal-inspired robots to study swimming, obstacle traversal, tail movements, mass distribution, and landing stability.
    • Demonstrated that soft sensors can measure body undulation and support closed-loop control, allowing a robotic fish to respond to changing flow conditions.
    • Used biorobotic models to test biological hypotheses, including how squirrels use their tails to reorient themselves during falls and how geckos use their tails to stabilise crash landings.

    Why it matters

    Soft robots can deform, absorb impacts, and adapt to their surroundings more easily than rigid machines. Sensors that stretch and move with a robot are therefore essential for reliable control and for measuring the robot’s interaction with its environment.

    This research contributes to more adaptable soft robots, wearable and skin-like sensors, underwater systems, and bio-inspired machines. It also shows how soft robotics can function as a scientific tool: robotic models make it possible to measure forces and movements that are difficult to study directly in living animals.

    Publications and output

    • Souri H, Banerjee H, Jusufi A, Radacsi N, Stokes A, Park I, Sitti M, Amjadi M. Advanced Int. Sys. 2 (8) 2000039. Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications. 2020. Advanced Intelligent Systems, Volume: 2, Issue: 8, 2020. DOI: https://doi.org/10.1002/aisy.202000039
    • Banerjee H, Kalairaj MS, Ren H, and Jusufi A*. Advanced Engineering Materials. Strong, Ultrastretchable Hydrogel-Based Multilayered Soft Actuator Composites Enhancing Biologically Inspired Pumping Systems. [Cover inside] Adv. Eng. Mater 2021, 23, 2100121. 
    • Wright B, Vogt D, Wood R, Jusufi A*. IEEE International Conference on Soft Robotics (RoboSoft). Soft Sensors for Curvature Estimation under Water in a Soft Robotic Fish. COEX, Seoul, Korea, 2019.
    • Siddall R, Fukushima T, Bardhi D, Perteshoni B, Morina A, Hasimja E, Dujaka Y, Haziri G, Martin L, Banerjee H, Jusufi A*. Advanced Robotics 35 (7). Compliance, Mass Distribution and Contact Forces in Cursorial and Scansorial Locomotion with Biorobotic Physical Models. 2021. https://www.tandfonline.com/doi/full/10.1080/01691864.2021.1887760.
    • Fukushima Toshihiko, Robert Siddall,Fabian Schwab, Severine Toussaint, Greg Byrnes, John Nyakatura, and Ardian Jusufi. Inertial tail effects during righting of squirrels in unexpected falls: From behavior to robotics. Integrative and Comparative Biology, icab 023, 2021.
    • Lin Yu-Hsiang, Siddall R, Schwab F, Fukushima T, Banerjee H, Youngjoon Baek, Daniel Vogt, Yong-Lae Park, and Jusufi A. Modeling and control of a soft robotic fish with integrated soft sensing. Advanced Intelligent Systems, 2000244, 2021.
    • Fabian Schwab, Elias T Lunsford, Taehwa Hong, Fabian Wiesemüller, Kovac M, Park YL, Akanyeti O, Liao J C, and Jusufi A. Body caudal undulation measured by soft sensors and emulated by soft artificial muscles. Integrative and Comparative Biology, 2021.
    • Fabian Schwab, Fabian Wiesemüller, Claudio Mucignat, Yong-Lae Park, Ivan Lunati,Mirko Kovac, and Ardian Jusufi. Undulatory swimming performance explored with a biorobotic fish and measured by soft sensors and particle image velocimetry. Frontiers in Robotics and AI, page 387, 2021.
    • Robert Siddall, Greg Byrnes, Rob J. Full and Ardian Jusufi, Tails stabilize landing of gliding geckos crashing head-first into tree trunks’, Communications Biology, 2021. 

  • Another milestone for AI from the Stuttgart region

    Another milestone for AI from the Stuttgart region

    The future of Artificial Intelligence (AI) is taking an important step forward in the heart of Baden-Württemberg: the High-Performance Computing Center Stuttgart (HLRS) is joining the ‘KI-D@ARENA2036-X” program as a new partner, contributing its expertise and computing capacity. 

    The program is jointly driven by ARENA2036, Cyber Valley GmbH, DeepScenario, waveye, and the Technical Information and Communication Services of the University of Stuttgart (TIK).

    With HLRS joining the initiative, the program gains an important new partner. This collaboration provides access to the infrastructure project HammerHAI. Starting in mid-year, extensive AI computing resources will be available across the entire development chain—from smaller systems directly integrated into machines or devices to powerful high-performance computing systems. This will make it possible to train and deploy very large and complex AI models.

    Infrastructure designed to accelerate AI development

    As part of the initiative, the partners are building an open IT and data infrastructure, including access to a data space for the sovereign exchange of data. The goal is to provide companies with easy access to powerful resources for AI applications—from the initial idea to practical deployment within companies. At the center of this effort is the networking of AI systems and data. Companies will be able to use the provided infrastructure without having to build large technical systems themselves. Access will be offered at competitive costs. Start-ups as well as small and medium-sized enterprises (SMEs) will particularly benefit, strengthening their innovative capacity and competitiveness.

    This will create a scalable, transparent, and collaboratively designed system in Baden-Württemberg. Instead of a black-box approach, the project deliberately focuses on an open infrastructure.

    This infrastructure is built on three key components:

    Integrating own hardware

    Companies can integrate their own computing hardware, allowing them to flexibly expand available computing capacity and address individual requirements.

    Shared data space

    A scalable, collaborative data space with marketplaces enables different organizations to work together on datasets, AI models, and concrete use cases.

    High-performance computing with HammerHAI

    Powerful high-performance computing resources enable the training and deployment of particularly large AI models.

     

    A program that accelerates companies

    Participating companies in the ‘KI-D@ARENA2036-X’ program benefit from practical access to powerful AI infrastructure and a strong innovation network.

    The program offers, among other things:

    • the opportunity to test and implement new ideas and proof-of-concepts without high upfront investments
    • access to powerful high-performance IT without having to operate their own data center
    • professional exchange with other AI developers facing similar technological challenges
    • a real-world testing environment at ARENA2036 that brings together requirements from different industries

    This means the program not only supports companies in their projects—it actively accelerates the development and implementation of new AI applications.

    Voices from the project team

    Prof. Dr. Peter Middendorf, Rector of the University of Stuttgart:

    “The IT and data infrastructure of ‘KI-D@ARENA2036-X’ is another important building block in our innovation ecosystem. The University of Stuttgart contributes to the success of this project through its Technical Information and Communication Services and as a partner of ARENA2036. I am therefore particularly pleased that the High-Performance Computing Center Stuttgart (HLRS) is now joining as another strong partner. With its powerful computing infrastructure, HLRS will support companies and start-ups in testing and optimizing state-of-the-art AI applications.”

    Dr. Alexander Lahl, Regional Director of the Verband Region Stuttgart:

    “Together with the HammerHAI infrastructure project, an important nucleus for AI development is emerging in the region. Start-ups and especially small and medium-sized enterprises will benefit greatly from this initiative. Through our support, we are significantly strengthening the Stuttgart Region as a location for AI applications and data infrastructures. At the same time, this project highlights the importance of collaboration across research, industry, and regional partners.”

    Michael Kaiser, Managing Director of Wirtschaftsförderung Region Stuttgart GmbH (WRS):

    “The collaboration between ‘KI-D@ARENA2036-X’ and HLRS and its European AI Factory HammerHAI is another important building block for the AI ecosystem of the Stuttgart Region. It enables companies to train and use very large AI models using efficient high-performance computers—without having to operate their own data center. This opens up new opportunities in AI development and application, especially for small and medium-sized companies.”

    Angelina Jukic, Program Manager at Cyber Valley GmbH:

    “Our goal within the KI-D@ARENA2036-X program is to create a highly connected ecosystem that brings together research, start-ups, and industry. This will make the development and training of AI models more efficient. HammerHAI is one of Germany’s leading AI computing infrastructures and works together with ARENA2036 on forward-looking solutions.”

     

    Project status and outlook

    Following the successful establishment of the basic infrastructure during the first year of the project, the program will enable operational access to the available computing and data resources in 2026.

    About the KI-D@ARENA2036-X program

    The KI-D@ARENA2036-X program is jointly implemented by ARENA2036, Cyber Valley GmbH, DeepScenario, waveye, and the Technical Information and Communication Services (TIK) of the University of Stuttgart. The goal is to build a collaborative infrastructure that accelerates AI innovation in Baden-Württemberg while ensuring security, transparency, and long-term economic sustainability.

    The program is funded by the Verband Region Stuttgart within the Co-Financing Program for Artificial Intelligence from 2024 to 2027 with a total of €685,000.

    Presscontact:

    Silke Dutz

    Public Outreach Manager      

    Email: silke.dutz@cyber-valley.de