Industrial Robotics: Trends Defining the Next Generation
Industrial robotics is experiencing a transformative shift, driven by rapid advancements in artificial intelligence (AI), machine learning, and automation technologies. No longer confined to repetitive assembly tasks, robots have become central to the future of manufacturing, logistics, healthcare, and industrial maintenance. As companies demand greater efficiency, precision, and adaptability, robotics is evolving from a supportive tool to a strategic asset.
Professor Christian Schlette is co-founder of the Danish Academic Society of Robotics (DACASRob).
To better understand these changes, Maintworld spoke with Christian Schlette, Professor at the Mærsk Mc-Kinney Møller Institute (MMMI) Head of the University of Southern Denmark’s Center for Large Structure Production (LSP) and co-founder of the Danish Academic Society of Robotics (DACAS-Rob). According to Schlette, a trend in industrial robotics is the integration of AI, which allows machines to make autonomous decisions, learn from their environments, and optimize performance in real time.
“AI is increasingly enabling robots to handle dynamic environments and more complex tasks that go beyond hard-coded programming,” Schlette explains.
Among other innovations, collaborative robots—or cobots—have gained ground for their ability to safely operate alongside human workers, enhancing both productivity and workplace safety. Autonomous mobile robots (AMRs) are also reshaping logistics and warehousing, while soft robotics is opening doors to automation in fields that require delicate, adaptive handling—such as food processing and healthcare.
Robotics in Industrial Maintenance
In maintenance, robotics is ushering in a new era of predictive diagnostics. Robots equipped with sensors and powered by AI can now identify and address problems before they cause downtime. This shift from reactive to proactive maintenance reduces costs and improves operational efficiency. Robots are also being deployed in hazardous environments, performing inspections or repairs that would be dangerous for human workers.
The robotic system developed by Jusmatics Oy is tailored for machining metal components used in heavy vehicle manufacturing. Its CAM system generates robot-executable toolpaths directly, removing the need for separate robot programming. This streamlined process improves consistency and strengthens the integration between design and production.
Leading Industries in Adoption
Industries such as automotive, electronics, healthcare, and logistics are leading the charge in adopting robotics. In automotive manufacturing, robots improve speed and precision on the production line. Electronics companies use robotics to handle micro-components with accuracy. In healthcare, surgical robots and diagnostic systems are transforming patient care. Warehouses are relying on robots to streamline everything from inventory tracking to order fulfillment.
The Role of AI and Machine Learning
AI and machine learning are at the core of this robotics revolution. These technologies enable predictive analytics for maintenance, enhance visual recognition systems for quality control, and allow robots to make decisions on the fly. This autonomy is making robots smarter, more efficient, and more adaptable to real-world challenges.
Cobots: Redefining Human-Robot Collaboration
Cobots are changing how humans and machines interact in the workplace. They are designed to assist rather than replace, taking over repetitive or physically demanding tasks while allowing human workers to focus on more complex activities. Because cobots are relatively affordable and easy to implement, they are especially valuable for small and medium-sized enterprises (SMEs) looking to embrace automation without major infrastructure changes.
Addressing Labour Shortages and Skills Gaps
The growing use of robotics is helping industries deal with persistent labour shortages. By automating routine jobs, businesses can operate efficiently with fewer workers. At the same time, AI-powered training tools are helping employees develop new skills and transition into roles that support or manage automated systems.
Challenges in Integration
Despite their promise, robotics systems can be challenging to integrate into existing operations. High upfront costs, compatibility issues with older equipment, and the need for workforce reskilling are common hurdles. However, many companies are overcoming these obstacles through strategic planning, modular solutions, and service-based models such as Robotics-as-a-Service (RaaS), which reduces financial risk by converting capital expenses into operational ones.
Supporting Sustainability Goals
Robotics is also contributing to more sustainable industrial practices. Intelligent automation can optimize energy use, reduce material waste, and enhance recycling efficiency. Robots can be programmed to perform tasks with precision and consistency, leading to fewer errors and less scrap, especially in high-precision industries.
Text: Nina Garlo Photos: Jusmatics Oy, the Danish Academic Society of Robotics (DACASRob)
How DACAS-Rob is Shaping the Future of Robotics in Denmark
At the forefront of robotics research and collaboration, the Danish Academic Society of Robotics (DACAS-Rob) connects universities and industry to drive innovation in robotics. Through joint research, educational initiatives, and applied projects, DACAS-Rob supports Denmark’s position as a key player in European robotics.
The society shares insights through webinars, video discussions, and its official YouTube channel, which highlights the latest in Danish robotics research and academic contributions. A dedicated webinar series also showcases leading-edge developments from across the country.
https://dacas-rob.org/
