Swiss Robotics Association

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In the demanding world of industrial maintenance, human operators routinely confront hazardous conditions while performing dangerous tasks in confined, elevated, or degraded environments. The maintenance industry requires systems that can reliably operate in such harsh contexts, executing complex operations like detailed inspections, surface treatments, and repairs while preserving human health.

The Automation, Robotics, and Machines Laboratory (ARM Lab) at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI) is revolutionizing how we approach safety and efficiency in high-risk industrial sectors. With a focus on human-centred robotics, the lab designs versatile mobile systems that take care of inspections and maintenance tasks even in extreme conditions — confined spaces, towering heights, and across corrosion, ice, or uneven terrain. The mobile robotic division of ARM Lab builds advanced mobile robots embedding industrial technologies with cutting-edge advancements to create platforms able to work and collaborate with human operators. This collaborative approach ensures robots enhance rather than replace human skills, fostering intuitive teamwork in dynamic settings. Beyond hardware development, the team innovates standard control laws with sophisticated AI algorithms to promote robotic-based maintenance policies—making inspections and repairs not just automated, but intelligently adaptable and executable with precision. Examples of platforms include UMA (Universal Maintenance Automata), a robust wheeled-based heavy-duty climbing robot introduced in 2020, engineered for stable performance during intensive repair tasks. The platform has been honored with the Innovation Radar Price in 2019 and the DINNO Award in 2021 for its forward-thinking design. Evolving from this foundation, the first reconfigurable and climbing quadruped GRACE has been developed by ARM. GRACE offers agile mobility across varied landscapes and overcoming uneven surfaces with obstacles, supporting a full range of maintenance activities.

ARM has already proven the benefits of its robot in real-world applications. In a groundbreaking milestone, an ARM Lab robot completed the operational bridge inspection in August 2025, navigating a highway structure in Switzerland through narrow passages (as tight as 50 x 70 cm), pitch darkness, and obstacles like cables and pipes. The system scanned about 150 meters of embedded steel reinforcements with exceptional accuracy while minimizing human exposure to hazards. Building on this, the lab showcased its solutions at the ROBOTX Innovation Day at the ETH Zurich in 2025.

Through strategic industry partnerships, the ARM lab is reshaping maintenance in harsh environments, driving safer, smarter, and more sustainable operations on a global scale.

In many industrial domains, full automation remains either technically infeasible, economically impractical, or too rigid to accommodate the diversity of real-world tasks and objects. In such contexts, cobots provide an attractive alternative, enabling flexible human–robot collaboration in which human adaptability and dexterity complement robotic precision and endurance.

The Robo-Gym at SUPSI, developed and coordinated by the ARM Lab (Automation, Robotics and Machines Laboratory), was established within the EU project Fluently as a hub for interactive human-robot training. As the facility’s coordinator and principal developer, the ARM Lab introduced a speech-based, multimodal interaction platform that breaks free from rigid programming while remaining robust in noisy factory environments. The platform unites three devices in one smart interface: RealWear Navigator 500 (100 dB noise-cancelled voice + assisted-reality guidance); H-Fluently (mobile with on-device ASR – Automatic Speech Recognition and MSE – Mental State Evaluation, privacy-preserving); R-Fluently (PC hosting containerized AI modules: NLU- Natural Language Understanding, HTN – Hierarchical Task Network planning  and Artificial Vision). Communication across the system relies on WebRTC for low-latency audio streaming, MQTT for device messaging, and ROS2 for inter-module communication.

New tasks can be taught through a hybrid approach that combines speech with hand guidance, significantly reducing the learning curve and improving operational efficiency. On R-Fluently, a voice-driven module adjust the robot’s autonomy level, reallocate tasks when needed, and reconfigure the system rapidly for new applications. This makes the system particularly well suited to contexts where partial automation is preferable to full automation. For instance, experimental evaluations conducted in a disassembly workflow revealed a significant drop in programming time for operations like unscrewing, from about 500 s with Teach Pendant programming to 75 s using speech plus hand guidance (85% reduction). While ASR accuracy declined with diverse user accents and noisy environments, falling from about 75 percent under normal conditions to 64 percent at 80 dB noise levels, NLU exhibited remarkable robustness, maintaining accuracies of 86 percent and 81 percent in normal and noisy settings respectively.

This ARM Lab  implementation demonstrates that by combining noise-resilient hardware, privacy-preserving speech recognition and high-level semantic understanding, the developed smart interface substantially lowers the barrier for non-expert operators in real-world scenarios while preserving the flexibility needed for effective human–robot teamwork.

https://robotx.ethz.ch/

Zurich-based robotics startup Rivr and U.S. delivery company Veho are piloting a stair-climbing delivery robot in Austin to tackle the “final 100 yards” of last-mile delivery — from van to doorstep. Starting with one supervised robot making daily runs, the trial aims to address a complex logistical challenge that’s simple for humans but tough for robots.

Rivr’s CEO Marko Bjelonic sees this as a step beyond sidewalk delivery bots — a real-world use case that not only solves a practical problem but also helps build the data needed to develop smarter physical AI systems. For Veho, which serves major brands across 50 U.S. markets, this could enhance delivery efficiency and reduce driver workload in dense urban areas.

euRobotics is pleased to announce the public launch of ‘A Unified Vision for European Robotics’, a new strategy for innovation, growth and societal impact. It sets out the collective vision of the European Robotics community and draws on multiple sources of information from within Europe and beyond. Publication is timely – and urgent, because Europe needs robots more than ever to maintain its economic advantage and address its demographic and climate-related challenges.

 Europe is a leader in robotics but the clock is ticking. A “Whole Europe” approach to research, innovation, deployment and uptake is needed, with the triangle of research, industry and policy makers all working together within a common framework to support innovation from lab bench to market in an unbroken chain, with standards and regulation aligned with market and innovation needs, and investment and fiscal policy enabling growth, not only in robotics but also within sectors that can raise productivity through the greater use of smarter robots. This requires strategic investment today; in education, skills, technology, research, deployment and uptake to maximise robotics’ economic and societal benefits.

Read about our eight recommendations by downloading ‘A Unified Vision for European Robotics’

We thank everyone who has contributed to ‘A Unified Vision for European Robotics’. With this new strategy we will start a fresh debate on the priorities for robotics in Europe.

Join us to help shape the future of robotics in Europe and achieve the goals we have set out.

View the strategy document .pdf

Researchers from EPFL’s CREATE Lab, led by Josie Hughes, have developed GOAT (Good Over All Terrains) — a shape-shifting robot inspired by animals’ adaptability. GOAT can morph between a flat rover and a sphere, allowing it to drive, roll, and swim across various environments. This flexible design enables energy-efficient, versatile locomotion without limbs, setting a new standard for robotic mobility and control.

Four ETH Zurich professors have been awarded SNSF Advanced Grants, receiving a total of 8.5 million CHF over five years. These grants, ranging from 1.9 to 2.7 million CHF per recipient, support top researchers and were introduced as a temporary measure after Switzerland lost access to ERC funding. This is the final round of SNSF Advanced Grants, as Swiss researchers will be eligible to apply for ERC Advanced Grants again in the next round.

https://ethz.ch/en/news-and-events/eth-news/news/2025/01/four-snsf-advanced-grants-go-to-eth-zurich-researchers.html

Source: eeNews Europe

Two Swiss universities are launching the Swiss Robotics Association (SRA) at the Robotics Day in Basel tomorrow.

The SRA aims to promote Switzerland as a global leader in robotics innovation and build interactions within the Swiss robotics ecosystem, serve as a networking hub.

This follows the ending of the Swiss National Centre of Competence in Research (NCCR) and a documentary highlights the activities over the last decade.

The association has been founded by Prof. Aude Billard, Head of LASA laboratory at EPFL, Lead of the Innovation Booster Robotics, co-organizer of the Swiss Robotics Day 2024 and one of the two Vice-Presidents of the Swiss Robotics Association, along with Prof. Roland Siegwart, Full Professor at the Department of Mechanical and Process Engineering of ETH Zurich, researcher at the Autonomous Systems Lab, Head of Wyss Zurich Translational Centre. They are joined by Dr. Nicola Tomatis, CEO at BlueBotics (above) as President.

Switzerland is a key area for robotics research as a result of the activities at EPFL and ETH Zurich, with companies such as ANYbotics and Exotec developing autonomous robotic systems and mobile robotics firm Sevensense acquired by ABB.

www.epfl.chwww.eth.ch