Siemens and Humanoid test HMND 01 Alpha for logistics tasks

Siemens AG and Humanoid yesterday stated they’ve efficiently examined the HMND 01 Alpha wheeled humanoid robotic in Siemens’ electronics manufacturing unit in Erlangen, Germany. Constructing on Siemens’ strategic partnership with NVIDIA, the robotic autonomously carried out logistics duties.

“Our mission is to create humanoid robots that carry out not solely in managed lab settings, but in addition in real-world manufacturing unit environments, dealing with significant industrial duties,” stated Artem Sokolov, founder and CEO of Humanoid. “Our collaboration with Siemens and NVIDIA offers us a strong benefit by combining NVIDIA’s main AI infrastructure, simulation instruments, and frameworks with Siemens’ deep industrial experience and integration capabilities.”

Based in 2024, Humanoid stated it has designed HMND for industrial environments. The robotic combines an omnidirectional wheeled platform with superior manipulation capabilities, powered by the KinetIQ proprietary AI framework. The London-based firm stated its cellular manipulator can work in human-centric areas, adapt to numerous duties, and deal with complicated actions.

Siemens companions to carry AI to manufacturing

Siemens and Humanoid first introduced their proof of idea in January. As well as, strategic companions Siemens and NVIDIA had said at CES that they plan “to construct the world’s first totally AI-driven, adaptive manufacturing websites.”

“Bodily AI — the self-discipline of coaching clever machines to understand, purpose and act within the bodily world — is poised to remodel how items are made,” stated Siemens. “Bridging the hole between AI analysis and the calls for of an actual manufacturing unit requires a high-performing ecosystem: world-class AI compute and simulation, a confirmed robotics platform, and the deep industrial automation infrastructure to tie all of it collectively.”

Humanoid has built-in NVIDIA‘s full bodily AI stack into the HMND 01 platform, together with NVIDIA Jetson Thor for edge compute, NVIDIA Isaac Sim for simulation, and NVIDIA Isaac Lab for reinforcement studying and coverage coaching.

“Factories of the long run demand robots that may understand, purpose, and adapt autonomously alongside human employees, tackling the labor shortages and operational complexity that conventional automation struggled to deal with,” acknowledged Deepu Talla, vp of robotics and edge AI at NVIDIA. “With Siemens offering the economic integration spine and Humanoid deploying NVIDIA’s full bodily AI stack — from simulation-first coaching to real-time edge inference — this deployment paves the best way for humanoid robots assembly actual manufacturing targets on a reside manufacturing unit ground.”

Editor’s word: On the 2026 Robotics Summit & Expo subsequent month in Boston, there will likely be periods on embodied and bodily AI, in addition to on humanoid robotic improvement. Register now to attend.

Humanoid touts quick deployment

Humanoid claimed that its “simulation-first {hardware} design has additionally enabled the crew to optimize actuator choice, joint energy and mass distribution just about, reducing prototype improvement from a typical 18 to 24 months to only seven months.”

The HMND 01 Alpha robotic was deployed in Siemens’ logistics operations, the place it autonomously picked, transported, and positioned containers for human operators. The corporate reported that it met all goal efficiency metrics, together with throughput of 60 tote strikes per hour, uptime exceeding eight hours, and autonomous pick-and-place success charges above 90%.

Siemens additionally famous that to be invaluable, a humanoid robotic should be totally built-in with different manufacturing techniques, exchanging knowledge in actual time with automated guided autos (AGVs), different equipment, and human operators. New techniques should additionally have the ability to reply dynamically to altering circumstances, it stated.

The Munich, Germany-based electronics provider stated its Siemens Xcelerator supplies this layer, from a complete digital twin and AI-enabled notion to built-in management and PLC-robot interfaces. It additionally supplies fleet administration, industrial communication networks, and high-performance drives.

“Collectively, these applied sciences type the digital spine and automation infrastructure that assist to make sure humanoid robots function effectively and in live performance with the broader manufacturing unit atmosphere,” Siemens asserted. “The result is a factory-grade mannequin for deploying humanoids in any industrial setting.”

Siemens will exhibit and talk about its strategy to industrial AI subsequent week at Hannover Messe.

The publish Siemens and Humanoid take a look at HMND 01 Alpha for logistics duties appeared first on The Robotic Report.