MAGICIAN is an EU co-funded project. It seeks to develop robotic solutions which will identify and repair aesthetic defects in manufacturing products autonomously to improve safety conditions for human operators and make production processes more efficient. MAGICIAN follows a human-centred approach allowing for a sustainable transition towards human-robot collaboration in manufacturing based on trust and safety.
The number of operating industrial robots in factories has increased worldwide with almost 4 million robots operating in 2022. Collaborative robots (Cobots) are also increasingly deployed in industrial settings, reaching a share of 11% in 2021, a trend which is likely to continue in upcoming years.
Source: International Federation of Robotics
With collaborative robots, human workers can be supported in tasks that involve significant physical effort, repetitive motions or a potentially hazardous work setting. Collaborative robots can also perform tasks which are not met by sufficient labour force, for instance welding operations.
Source: International Federation of Robotics
Robotics technologies can address various sustainability challenges. For instance, robots can support an inclusive workforce as operating robots requires less physical strength than manual task execution. Another benefit of robots lies in their potential to stabilize manufacturing processes, resulting in fewer product rejects and consistently high product quality. By increasing product efficiency and allowing for a decentralized production, the use of robots also saves energy and resources and reduces transportation costs.
Source: International Federation of Robotics
From 25-28 May, our coordinator Daniele Fontanelli from University of Trento represented MAGICIAN at the I2MTC 2026 in Nancy, France. What is the I2MTC? The flagship conference of the IEEE Instrumentation and Measurement Society is dedicated to advances in measurement methodologies, measurement systems, instrumentation, and sensors in all areas of
From 21-23 May 2026, the MAGICIAN project was represented at the IEEE Symposium on Artificial Intelligence for Instrumentation and Measurement (AI4IM 2026) in Amalfi, Italy. The event brought together researchers, industry experts, and innovators to discuss the latest advances in artificial intelligence and its applications in measurement, monitoring, sensing, estimation,
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