{"id":55000,"date":"2025-08-11T16:25:08","date_gmt":"2025-08-11T15:25:08","guid":{"rendered":"https:\/\/manufacturing-today.com\/?p=55000"},"modified":"2025-08-11T16:25:09","modified_gmt":"2025-08-11T15:25:09","slug":"how-automate-2025-revealed-the-next-leap-in-ai-robotics-for-manufacturers","status":"publish","type":"post","link":"https:\/\/manufacturing-today.com\/news\/how-automate-2025-revealed-the-next-leap-in-ai-robotics-for-manufacturers\/","title":{"rendered":"How Automate 2025 revealed the next leap in AI robotics for manufacturers"},"content":{"rendered":"\n

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The US manufacturing sector is entering a new wave of ambition, driven by artificial intelligence. At Automate 2025 in Detroit, industry leaders presented how AI-powered robotics, vision systems, and remote management tools are redefining possibilities on the factory floor. While technology is advancing quickly, the real shift is in how these tools are streamlining workflows, lowering costs, and challenging long-standing ideas about automation.<\/p>\n\n\n\n

AI-powered path planning is reducing workcell cycle times<\/h2>\n\n\n\n

Boston-based Realtime Robotics, founded in 2016, is urging manufacturers to reconsider how they program and coordinate robots. Its cloud-based Resolver platform uses AI to create optimal, collision-free robot paths in hours instead of the hundreds of hours often required by traditional simulation tools.<\/p>\n\n\n\n

At Automate 2025, Resolver improved a welding workcell with more than 20 robots operating in close quarters. By recalculating movements, the system cut the cycle time from 41.47 seconds to 32.04 seconds. The optimization also accounted for safety interlocks, ensuring compliance while increasing throughput.<\/p>\n\n\n\n

The cloud infrastructure behind Resolver can calculate far more scenarios than a locally run simulation. As the AI continues learning, it can refine performance for different product configurations and schedules, turning robot path planning into a continuously improving process.<\/p>\n\n\n\n

A changing role for system integrators in high-mix manufacturing<\/h2>\n\n\n\n

Integrators have long been essential in programming and configuring robots, particularly in high-mix, low-volume environments. These setups often require 50 or more production changeovers, making manual programming a significant bottleneck.<\/p>\n\n\n\n

With AI-driven platforms like Resolver, programming demands drop sharply. Production lines can be reconfigured in minutes. Vice President of Product Ville Lehtonen explained that this could make it possible to switch from building automotive parts to aerospace components, or even defense equipment, with minimal delay. This flexibility will require integrators to adapt their services toward AI-assisted deployment and ongoing support.<\/p>\n\n\n\n

US robotics adoption lags global competitors despite growth<\/h2>\n\n\n\n

The International Federation of Robotics reported 381,964 industrial robots in operation on US factory floors in 2023, a 10 percent increase from 2022. Annual installations totaled 37,587 units, the third-highest in US history despite a 5 percent drop from the prior year. While these figures reflect progress, the US still trails countries such as China, which has invested heavily in large-scale automation infrastructure.<\/p>\n\n\n\n

Lehtonen believes the US should be deploying 50 million robots instead of the current tens of thousands. This goal aligns with market forecasts projecting that the global AI in manufacturing sector will grow from $3.2 billion in 2023 to $20.8 billion by 2028. Similarly, the AI robotics market is expected to exceed $70 billion in the next few years.<\/p>\n\n\n\n

Automate 2025 shows AI\u2019s broader impact on manufacturing<\/h2>\n\n\n\n

Automate 2025 featured a range of innovations aimed at speeding production and reducing the cost of automation:<\/p>\n\n\n\n