BMW Declares Humanoid Robots as the Next Era in Automotive Manufacturing

BMW is set to pioneer the integration of humanoid robots into European car production for the first time. Two units manufactured by Hexagon Robotics are scheduled to commence operations at the company’s Leipzig plant this summer, following a current test deployment at the facility. Michael Nikolaides, BMW’s head of process management and digitalisation, stated, "This will be the future of automotive production."

While robotic arms and other automated systems have been staples of the auto industry for decades, the shift toward human-shaped machines offers distinct advantages. According to Nikolaides, the humanoid design allows these units to be deployed in any workstation currently occupied by humans, as they share similar dimensions and operational capabilities. "If you have a humanoid form, you can pretty much set it to any workplace where a human is working today because it has the same size and the same capabilities," he explained.

This strategic pivot is also driven by economic factors. Although robotics costs have decreased, the expense of retooling assembly lines remains high. Consequently, it is more financially viable to utilize robots that can seamlessly integrate into existing human workflows rather than restructuring factories around new machinery. "When a robot costs 17 million, you'd re-organise your factory around the robot, but it doesn't anymore," noted Bill Ray, a distinguished VP analyst at Gartner. "So now you want to fit it into your existing way of working."

The specific model in use, named Aeon by Hexagon, resembles a human being, standing 1.65m (5ft 5in) tall and weighing 60kg (9 stone 6lbs). It can reach speeds of 2.4m/second, carrying loads of up to 15kg for brief intervals or 8kg continuously. The unit is equipped with 21 sensors, including cameras, radar, microphones, and force and torque sensors designed for precise manipulation.

Training the Aeon robots involved a hybrid approach combining teleoperation and digital simulation. Using Nvidia software, BMW created a digital twin of the factory to simulate tasks. Through a method known as reinforcement learning, the virtual robot repeatedly attempted tasks to identify the most effective solutions. Meanwhile, teleoperation—utilizing sensors on human operators—was employed for specific actions, such as part handling, allowing the physical robot to observe and learn the various ways humans perform these tasks.

Arnaud Robert, president of robotics at Hexagon, highlighted that the speed of robot training is critical. He described imitation learning as one of the most promising applications of "physical AI." This technique enables robots to learn by observing tasks via multi-angle video feeds or human-mounted movement sensors. "The best translation [from the human to the robot] is when the teacher and the student have the same form factor," Robert said, noting that imitation learning can reduce training times from months to just days.

Regarding the potential for fully autonomous learning, Robert suggested that a robot simply watching a human pack boxes and then joining in is an "ultimate scenario" that is likely one to two years away. Gartner’s Bill Ray estimates that within three to five years, robots will be capable of executing tasks effectively based on simple voice commands.

Despite their advanced capabilities, the Aeon robots have a limited battery life of three hours, which does not cover a full eight-hour shift. To address this, the robots are engineered to swap their own batteries in approximately three minutes, including the time required to travel to and from charging stations.

At BMW, the Aeon units will assist with battery assembly, performing pick-and-place operations and feeding parts to manufacturing tools. While versatile, they are not expected to switch tasks frequently, much like human factory workers. Nikolaides emphasized that these robots can alleviate labor shortages and take over repetitive or physically demanding roles. "We know that staff will be short in a matter of years, and humanised robots help," he said.

Reflecting on past industrial shifts, Nikolaides pointed out that while automation in the 1970s sparked fears of widespread job losses, it actually led to the creation of new roles. "There were new jobs created by this new technology, and that's the way we look at [humanoid robots]," he added.

Interest in advanced robotics is growing across the industry, with other major manufacturers such as Toyota also exploring these technologies.

Source: BBC News Generated at: 2026-05-28 23:36:45 UTC