CES 2025 from Schaeffler
One key highlight during my first visit to CES 2025 in Las Vegas was Schaeffler’s Humanoid Technology Exhibit, an interactive display highlighting Schaeffler’s key role in enabling motion through advanced robotics. During the show, Mike Paschke, industrial automation national sales manager, gave our group a comprehensive tour of the exhibit—highlighting how Schaeffler is shaping the next generation of robotics from a component as well as a system level. “Basically, there’s eight new motion technology families,” Paschke said. “This breaks down into the full portfolio of products Schaeffler can offer. The idea here being each of these building blocks really comprises the full system. Now as a company we must start thinking about battery technology, sensors, power electronics for humanoid robots, and how these system capabilities translate to high volume manufacturing.” The merger with Vitesco Technologies, completed on October 1, 2024, expands Schaeffler’s presence globally, adding new manufacturing plants and boosting the company’s research and development capabilities. Schaeffler’s solutions now cover the entire spectrum of motion, from power transmission to energy generation and sustainability, allowing for a seamless integration of technologies. Especially in the field of electromobility, Schaeffler can now offer customers a comprehensive product range and can therefore derive even greater benefit from the growth potential in the electromobility market. Schaeffler’s Dynamic Performance Vehicle at CES 2025 highlighted the full range of technologies for chassis systems and electrified powertrains, augmented by the addition of Vitesco Technologies. The company can now deliver a battery electric vehicle solution, featuring all vital components and systems required for a complete electrified powertrain. The interactive exhibit demonstrated these solutions–from components and systems for light passenger cars to heavy-duty applications. Schaeffler offers vision sensors and machine-based learning, data analysis, localization and mapping for driver assistance systems as well as autonomous driving solutions.
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