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The collaboration aims to accelerate the deployment of Humanoid’s HMND platform across logistics and manufacturing sectors.
Humanoid develops wheeled humanoid mobile manipulators designed to operate in human-centric industrial environments using dual-arm systems and autonomous mobility. Recently, Humanoid partnered with Schaeffler to deploy thousands of wheeled humanoid robots at the latter’s factories, starting in Germany by late 2026.
Humanoid is preparing for large-scale deployment across Europe, supported by a new partnership with Bosch.
In March, Humanoid conducted trials of the HMND 01 robots in Bühl, Germany. During these tests, the autonomous systems performed industrial handling tasks, including transferring boxes from a conveyor belt to a trolley. The robots managed five different box sizes with varying shapes, heights, and weights, reports Engadget.
The company stated that the trial confirmed both the technical readiness of the robots and the scalability of the approach for broader industrial deployment.
The collaboration is structured to go beyond manufacturing support. Bosch will also provide strategic guidance and technical expertise across key areas, including hardware design, production, supply chain management, and cost optimization. The aim is to accelerate the transition from prototype validation to industrial-scale deployment. Bosch’s role could further expand in future iterations of the platform, including deeper integration of components such as actuators, drives, and sensors into next-generation HMND robots.
The HMND 01 platform is designed in two configurations: a bipedal humanoid model and a wheeled variant. The bipedal robot stands 5 feet 10 inches tall, weighs 198 pounds, and can move at speeds of nearly 5 feet per second. It is powered by a battery system that supports up to three hours of operation and is capable of carrying payloads of up to 33 pounds in industrial environments.
The wheeled version is larger, measuring 7 feet 3 inches in height and weighing 661 pounds. It can travel at speeds of up to 6.6 feet per second, operate for up to four hours on a single charge, and also handle payloads of up to 33 pounds. Both versions are intended for use in human-centric industrial environments where flexible manipulation and mobility are required.
Humanoid’s robots are powered by KinetIQ, its proprietary AI framework designed for end-to-end orchestration of humanoid robot fleets across industrial, service, and home environments. It enables a single AI system to control robots with different physical forms while coordinating actions across an entire fleet.
KinetIQ uses a cross-timescale, four-layer architecture. At the highest level, System 3 operates as a fleet-level agent that assigns goals, integrates with facility management systems, and coordinates tasks across wheeled and bipedal robots. It works in real time to distribute workloads, monitor execution, and manage exceptions across logistics, retail, and manufacturing operations.
System 2 handles robot-level reasoning, translating high-level instructions into structured sub-tasks using multimodal perception. It adapts plans based on visual feedback, evaluates task execution, and can escalate to human operators when needed. It also stores successful workflows for reuse across the fleet.
System 1 is a Vision-Language-Action model responsible for low-level manipulation and locomotion, generating action sequences for robot bodies at subsecond speeds. System 0 manages whole-body control at 50 Hz using reinforcement learning in simulation, ensuring stability and precise joint coordination.
Together, these four layers enable cross-embodiment learning, real-time adaptation, and scalable coordination across diverse robotic platforms within a unified physical AI system.
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Jijo is an automotive and business journalist based in India. Armed with a BA in History (Honors) from St. Stephen's College, Delhi University, and a PG diploma in Journalism from the Indian Institute of Mass Communication, Delhi, he has worked for news agencies, national newspapers, and automotive magazines. In his spare time, he likes to go off-roading, engage in political discourse, travel, and teach languages.
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