Cobotics, IoT and digital twins: the closed loop of Industry 5.0
Shows the cobot working next to the operator, adjusting force and speed to keep the people in the cell safe.
Sustainable Development Goals
How cobotics, industrial IoT and digital twins relate to the UN SDGs — with the limits stated.
Industry 5.0 is defined by three pillars: human-centricity, sustainability and resilience. The United Nations Sustainable Development Goals (SDGs) are the shared, worldwide language for these topics.
This page explains where cobotics, industrial IoT and digital twins can contribute to six SDGs — and where care is needed not to promise more than the technology delivers.
Editorial rule: Cobotics Hub content is tagged with an SDG only when the text itself explains the link. The justification is shown next to the content.
SDG 4 Quality education
Cobotics Hub itself is an open-education initiative: free technical content, in three languages, produced with students and researchers.
Automation changes the skills needed on the shop floor. Programming, supervising and maintaining cobots, sensors and digital twins must be taught — and that is what makes the transition described in SDG 8 possible.
SDG 8 Decent work and economic growth
Cobots can take over repetitive, unhealthy or physically demanding tasks, reducing exposure to repetitive strain injuries and accidents.
People can then move from operating the machine to supervising the process and solving problems, putting reasoning and creativity ahead of physical effort.
Caution: This shift does not happen by itself: it depends on reskilling (SDG 4). Without it, automation can also mean job losses. We address that side openly.
Automotive
Cobots can take over repetitive tasks and hard postures, such as working with arms above the head, reducing the risk of injury.
Food and beverage
Cobots can take over repetitive lifting of cases and tasks in cold rooms, reducing workers' strain and exposure.
Logistics and warehousing
Cobots can take over repetitive lifting of cases, one of the main causes of injuries in warehouses.
SDG 9 Industry, innovation and infrastructure
IoT and digital twins enable predictive maintenance: tracking the real condition of equipment and acting before it fails. This reduces unplanned downtime and can extend asset life.
Affordable components — microcontrollers, compact sensors, open-source software — let small workshops, startups, makers and universities innovate too.
Caution: Predictive maintenance reduces unplanned downtime; it does not eliminate it. The gain depends on the quality of data and models.
Cobotics, IoT and digital twins: the closed loop of Industry 5.0
Explains how IoT and digital twins reduce machine downtime and make production more flexible and resilient.
Automotive
Shows how sensors and simulation help assembly lines handle many variants without stopping production.
Electronics
Shows how collaborative automation and traceability help electronics plants produce small, varied batches.
Logistics and warehousing
Shows how robots, sensors and simulation make warehouses more flexible when demand changes.
SDG 12 Responsible consumption and production
Digital twins let teams test processes virtually before running them, reducing physical trials and the material and energy they waste.
IoT sensors measure energy use, leaks and emissions in real time, enabling quick adjustments toward cleaner production.
Caution: Simulation reduces physical testing but does not fully replace it: the model must be validated in the real world.
Electronics
Automated inspection and test data help catch defects early, reducing rework and scrapped boards.
Food and beverage
Sensors and simulation help reduce product losses, off-spec packaging and stoppages during format changes.
SDG 13 Climate action
Optimizing internal logistics and motor energy efficiency, and cutting scrap, can lower the carbon footprint of production.
Caution: That reduction only exists if it is measured. Equipment and servers also use energy and resources to be built and run; the balance must account for both sides.
SDG 17 Partnerships for the goals
The hub brings researchers, students, makers and industry together in an open space. Research summaries contributed by researchers from any country bring science closer to the people who apply it.
What we do not promise
Technology does not achieve the SDGs on its own. The effects depend on how each company deploys, measures and shares the gains.
When a text on the hub talks about impact, we try to cite data or studies. If you find an unsupported claim, tell us through the Contribute page.