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ABB says its robotics story began in 1974 with what it calls the “sale of the world’s first business, all-electric robotic, the IRB 6.” In 2024, 50 years later, ABB’s robotics portfolio is stronger than ever with new industrial robotic arms, collaborative robotic arms, and autonomous mobile robots.
ABB will likely be celebrating 50 years of robotic innovation all through 2024. Marc Segura, president of ABB Robotics, helps just do that by figuring out the next three drivers of robotics-driven AI options in 2024 and past.
Editor’s Observe: the next textual content has been republished from ABB with its permission.
“The approaching 12 months will see a rising deal with the crucial function of AI,” stated Segura. “From cell robots and cobots, to enabling new robotic purposes in new sectors and creating new alternatives for individuals to study and develop, these new frontiers for AI are redefining the way forward for industrial robotics.”
ABB’s 3DQI high quality inspection cell can detect defects lower than half the width of a human hair. | Credit score: ABB
1. AI will drive new ranges of autonomy in robotic purposes
Accelerating progress in AI is redefining what is feasible with industrial robotics. AI is enhancing all the pieces from robots’ capacity to grip, choose and place in addition to their capacity to map and navigate by way of dynamic environments. From mobile robots to cobots and past, AI is giving robots unprecedented ranges of pace, accuracy, and payload carrying capacity, enabling them to tackle extra duties in settings like versatile factories, warehouses, logistics facilities and laboratories.
“AI-enabled cell robots can remodel sectors like discrete manufacturing, logistics and laboratories,” stated Segura. “Robots outfitted with ABB’s new Visible Simultaneous Localization and Mapping (Visible SLAM) know-how, for instance, have superior mapping and navigation expertise, granting new ranges of autonomy, whereas significantly decreasing the infrastructure wanted by earlier generations of guided robots. This paves the best way for a shift from linear manufacturing traces to dynamic networks, creating vital efficiencies and taking over extra boring, soiled and harmful duties, to allow staff to take up extra rewarding jobs.”
2. AI will see robots enter new sectors
The potential provided by AI-enabled robotics is influencing sectors far past manufacturing. In 2024, these applied sciences are anticipated to carry substantial effectivity enhancements to extra dynamic environments, similar to healthcare and life sciences, in addition to retail. One other instance is the development trade, the place AI-powered robotics could make a fabric contribution to boosting productiveness, enhancing security and sustainable building practices whereas spurring development.
“The development trade is a good instance of a sector the place AI-powered robots will show transformative, delivering actual worth by addressing most of the points going through the trade in the present day, together with employee shortages, questions of safety and stagnant productiveness,” stated Segura. “Skills similar to enhanced recognition and decision-making provided by AI, coupled with advances in collaborative robots allow protected deployment alongside staff. These advances additionally allow robots to carry out key duties similar to bricklaying, modular meeting and 3D printing with larger precision and pace, all whereas contributing to extra sustainable building by reducing emissions, similar to concrete mixing on web site, to decreasing the necessity to transport supplies throughout far distances with on-site meeting.”
3. AI will supply new alternatives for schooling and dealing with robots
The advances being made in AI and robotics is important for coaching and schooling, closing the automation expertise hole and making robots extra accessible to extra individuals and companies. With AI making programming easier, by way of lead-through and even pure language, schooling can shift extra in direction of how robots can help people extra successfully, relatively than simply educating programming expertise. This transition will make robots extra approachable and convey them to a wider viewers, resulting in new job prospects whereas serving to alleviate labor and expertise shortages.
“A scarcity of individuals with the abilities wanted to program and assist robots has lengthy been a hurdle to the uptake of robotic automation, particularly in small to medium sized manufacturing corporations,” stated Segura. “We’ll see this more and more being overcome as advances in generative AI decrease the limitations to automation and increase the main target of schooling past programming. Developments in pure language programming, powered by AI during which staff can verbally instruct a robotic in its process, will create a brand new dynamic in human-robot interactions.”
