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Humanoid Robots Poised for Factory Debut in 2025, Says Wired – But Are They Ready?
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Humanoid Robots Poised for Factory Work in 2025, Says Wired – But Are They Ready?
An article today in Wired suggests 2025 could mark a turning point for humanoid robots, shifting them from research labs and viral video stars into commercial roles within factories and warehouses. This transition hinges on upcoming deployments and advancements in artificial intelligence, though significant hurdles remain.
From Demos to Deployments
The most prominent example cited is Boston Dynamics' plan to deploy its new all-electric Atlas humanoid in a Hyundai factory later this year. Acquired by Hyundai in 2021, Boston Dynamics has already commercialized its Spot quadruped and Stretch warehouse robot. The Atlas pilot, however, represents a new frontier: integrating a bipedal, general-purpose robot into a manufacturing setting. Details remain scarce, but the company suggests Atlas will handle tasks difficult for humans, such as lifting heavy or awkward objects.
Atlas isn't alone. Agility Robotics' Digit is already undertaking tasks like moving totes in warehouse environments, and Figure AI began shipping its humanoid robot to commercial customers last year. This momentum, coupled with rumored projects at tech giants like Apple and Meta, and Tesla's ongoing Optimus development, fuels predictions of significant market growth. A Goldman Sachs report mentioned by Wired estimates a $38 billion humanoid robot market by 2035, a dramatic increase from previous forecasts.
The Promise of Flexibility
The core appeal of humanoid robots lies in their potential versatility. Unlike traditional automation, which is purpose-built for specific, repetitive tasks, humanoids are envisioned as adaptable workers capable of switching between different duties within environments designed for humans. Jonathan Hurst, cofounder of Agility Robotics, tells Wired that these robots could complement fixed automation, handling tasks that don't require constant operation, such as depalletizing, cleaning, stocking shelves, or checking inventory in various settings.
The AI Catalyst and Lingering Challenges
A key enabler for this flexibility is the rapid advancement in AI, particularly large language models (LLMs). Companies like Google DeepMind (with its Gemini Robotics model) are exploring how these models can help robots learn new tasks more quickly and adapt to changing situations, potentially even responding to natural language commands. This could drastically reduce the programming time traditionally required for industrial robots.
However, the path to widespread adoption is complex. Reliability remains a major concern, as highlighted by Carnegie Mellon University's Chris Atkeson. While a robot might perform a task flawlessly for months, a single failure in an unpredicted scenario could be costly. Safety concerns also persist regarding heavy, powerful robots working alongside human colleagues.
Furthermore, the gap between controlled demonstrations and autonomous real-world performance needs bridging. Tesla's Optimus demos have faced scrutiny over the degree of human control involved, raising questions about autonomous capabilities. Elon Musk's projections for producing thousands of robots in 2025 have also been tempered by potential supply chain issues, such as restrictions on rare-earth metals.
An Optimistic Outlook?
While Wired frames 2025 as a pivotal year, the successful integration of humanoid robots into industrial workflows is far from guaranteed. The convergence of advanced mechanics, AI, and significant investment creates strong momentum. Yet, proving reliability, ensuring safety, and demonstrating true versatility beyond pilot programs will be critical tests in the coming year. The potential is undeniable, but the era of the humanoid factory worker is still dawning, not fully arrived.