3 New Frontiers for Robotics and AI in 2024

Redefining the future of industrial robotics.

ABBs 3DQI quality inspection cell is capable of detecting defects of less than half the width of a human hair.
ABBs 3DQI quality inspection cell is capable of detecting defects of less than half the width of a human hair.
ABB

ABB identified three drivers for robotics-driven AI solutions in 2024, as ABB continues expansion into new segments not previously served by robotic automation.

“The coming year will see a growing focus on the critical role of AI,” President ABB Robotics Division Marc Segura said. “From mobile robots and cobots, to enabling new robotic applications in new sectors and creating new opportunities for people to learn and develop, these new frontiers for AI are redefining the future of industrial robotics.”

1. AI will drive new levels of autonomy in robotic applications

Accelerating progress in AI is redefining what is possible with industrial robotics. AI is enhancing everything from robots’ ability to grip, pick and place as well as their ability to map and navigate through dynamic environments. From mobile robots to cobots and beyond, AI is giving robots unprecedented levels of speed, accuracy and payload carrying ability, enabling them to take on more tasks in settings like flexible factories, warehouses, logistics centers and laboratories.

“Robots equipped with ABB’s new Visual Simultaneous Localization and Mapping (Visual SLAM) technology, for example, have advanced mapping and navigation skills, granting new levels of autonomy, while greatly reducing the infrastructure needed by previous generations of guided robots," Segura said. "This paves the way for a shift from linear production lines to dynamic networks, creating significant efficiencies and taking on more dull, dirty and dangerous tasks, to enable workers to take up more rewarding jobs.”

ABB AMR in factory with Visual SLAM navigationABB AMR in factory with Visual SLAM navigationABB

2. AI will see robots enter new sectors

The potential offered by AI-enabled robotics is influencing sectors far beyond manufacturing. In 2024, these technologies are expected to bring substantial efficiency improvements to more dynamic environments, such as healthcare and life sciences, as well as retail.

Another example is the construction industry, where AI-powered robotics can make a material contribution to boosting productivity, enhancing safety and sustainable construction practices while spurring growth.

“The construction industry is a great example of a sector where AI-powered robots will prove transformative, delivering real value by addressing many of the issues facing the industry today, including worker shortages, safety issues and stagnant productivity,” Segura said. “Abilities such as enhanced recognition and decision-making offered by AI, coupled with advances in collaborative robots enable safe deployment alongside workers. These advances also enable robots to perform key tasks such as bricklaying, modular assembly and 3D printing with greater precision and speed, all while contributing to more sustainable construction by lowering emissions, such as concrete mixing on site, to reducing the need to transport materials across far distances with on-site assembly.”

3. AI will offer new opportunities for education and working with robots

The advances being made in AI and robotics are significant for training and education, closing the automation skills gap and making robots more accessible to more people and businesses.

With AI making programming easier, through lead-through and even natural language, education can shift more towards how robots can assist humans more effectively, rather than just teaching programming skills. This transition will make robots more approachable and bring them to a wider audience, leading to new job prospects while helping alleviate labor and skills shortages.

“A shortage of people with the skills needed to program and support robots has long been a hurdle to the uptake of robotic automation, especially in small to medium sized manufacturing companies,” Segura said. “We will see this increasingly being overcome as advances in generative AI lower the barriers to automation and expand the focus of education beyond programming. Developments in natural language programming, powered by AI in which workers can verbally instruct a robot in its task, will create a new dynamic in human-robot interactions.”

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