British tech firm Humanoid is set to deploy its humanoid robots across the manufacturing floors of German industrial giant Schaeffler, signaling a significant step forward in the integration of advanced robotics within the automotive supply chain. This strategic partnership, initially reported by Reuters, outlines a phased rollout targeting 1,000 to 2,000 robots across Schaeffler’s global production facilities by 2032. While contract specifics remain undisclosed, the initial deployment is slated to commence between December 2026 and June 2027 at two key Schaeffler sites in Germany. The first phase will focus on critical tasks such as box handling at the Herzogenaurach facility and comprehensive factory testing in Schweinfurt, according to Humanoid CEO Artem Sokolov.
Schaeffler Embraces Robotic Integration
Humanoid will not only supply the robots but will also play a crucial role in their seamless integration into Schaeffler’s existing production infrastructure. This move builds upon a prior technology partnership announced between the two companies in January, underscoring a shared vision for the future of manufacturing. Schaeffler is actively exploring the application of humanoid robots for physically demanding tasks within both production and warehouse environments, with initial applications focused on material handling and the efficient movement of goods. This collaboration also positions Schaeffler as Humanoid’s preferred supplier for joint actuators through 2031, a vital component for the robots’ mobility and precision. This agreement is projected to fulfill over half of Humanoid’s demand for its wheeled humanoid platforms, potentially encompassing at least one million actuators over the contract period.
The Rise of Physical AI and Data-Driven Robotics
The Schaeffler-Humanoid alliance arrives at a pivotal moment, as numerous industries are increasingly becoming proving grounds for sophisticated physical AI systems. In parallel, South Korean AI startup RLWRLD is making significant strides by meticulously collecting worker motion data from diverse operational settings, including hotels, logistics hubs, and retail environments. This data acquisition is crucial for developing AI that can replicate and enhance human physical capabilities. For instance, at Lotte Hotel Seoul, data is being gathered from food and beverage staff as they perform intricate tasks like folding banquet napkins and preparing tableware. Body-worn cameras capture the nuanced movements and object manipulation involved in these detailed service operations, providing invaluable insights for AI training.
RLWRLD is similarly engaged with logistics workers at CJ, documenting their precise methods for lifting and handling goods in warehouse settings. The company is also collaborating with staff at the Japanese convenience store chain Lawson to understand the methodologies behind efficient food display organization. The ultimate goal is to build an advanced AI software layer capable of powering robots that can operate effectively in both industrial and service-oriented worksites. A key finding from RLWRLD’s research is the paramount importance of hand dexterity for a wide range of industrial and service-oriented tasks.
Training Robots Through Human Movement
RLWRLD employs a sophisticated approach to robot training, leveraging the collected human movement data to develop AI systems. Footage of worker actions is meticulously converted into machine-readable data. This is further augmented by demonstrations from RLWRLD engineers, captured using advanced tools such as cameras, VR headsets, and motion-tracking gloves. Song Hyun-ji from RLWRLD’s robotics team highlights that this data captures granular details, including joint angles and the precise force applied during specific tasks. This rich dataset is then used to train test robots, some of which are operated remotely by human supervisors using specialized control devices.
Demonstrations showcase the practical applications of this technology. In one instance, a wheeled robot equipped with dexterous, human-like metal hands was observed precisely arranging cups at a minibar under the guidance of engineers. In another compelling demonstration, a humanoid robot successfully opened a box, placed a computer mouse inside, and then securely closed the box before placing it onto a conveyor belt, illustrating its capacity for intricate assembly and handling tasks.
Government Backing and Industry Ambitions in South Korea
The development and deployment of physical AI solutions are receiving strong support from the South Korean government, with industrial applications identified as the primary target market. RLWRLD anticipates the large-scale deployment of AI robots for industrial purposes around 2028, a timeline that aligns with the strategic objectives of several major corporations. This forward-looking vision is mirrored by industry giants such as Hyundai Motor, which plans to integrate Boston Dynamics-built humanoids into its global factories in the coming years, beginning with its Georgia plant in 2028. Samsung Electronics has also publicly stated its commitment to transforming all its manufacturing sites into “AI-driven factories” by 2030, a comprehensive strategy that includes the integration of both humanoid and specialized task robots on its production lines.
Labor Concerns and the Future of Work
Despite the technological advancements and potential efficiencies offered by AI-driven robotics, labor groups in South Korea have voiced significant concerns regarding the implications of worker data collection and the broader deployment of robots. Unions have issued warnings about the potential impact on employment levels and the erosion of skilled labor pipelines. Kim Seok, policy director at the Korean Confederation of Trade Unions, emphasizes the critical need for employers and the government to engage in open dialogue with workers concerning AI adoption. He maintains that highly skilled work fundamentally remains a testament to human capability and ingenuity.
In the hospitality sector, Lotte Hotel is exploring the use of robots for cleaning and other back-of-house operations. While current humanoid models may require several hours to clean a guest room compared to the approximately 40 minutes a human worker takes, the hotel expresses optimism that robots will be ready to assume certain cleaning and support roles by 2029. Lotte Hotel is also considering the feasibility of robot rental services for the hospitality and broader service industries. One hotel worker involved in the training process, identified as Park, estimates that humanoids could eventually handle 30% to 40% of back-of-house event preparation work. However, he also notes that tasks requiring direct human interaction will likely remain challenging to automate effectively.
Original article, Author: Samuel Thompson. If you wish to reprint this article, please indicate the source:https://aicnbc.com/21707.html
