The global push to develop humanoid robots is increasing as advances in artificial intelligence (AI), hardware engineering, and robotics converge to bring human-like machines closer to everyday reality.
- +Global race to develop humanoid robots intensifies as AI breakthroughs increase
Major technology companies including Tesla, Boston Dynamics, and Figure AI are leading the charge by unveiling next-generation humanoid robots designed to perform tasks from warehouse logistics to domestic assistance.
Major technology companies including Tesla, Boston Dynamics, and Figure AI are leading the charge by unveiling next-generation humanoid robots designed to perform tasks from warehouse logistics to domestic assistance.
At the forefront is Optimus, Tesla’s humanoid robot project, which has seen rapid development since its initial unveiling.
The company said Optimus is being trained using the same neural networks that power its autonomous driving systems, allowing it to learn real-world tasks through observation and repetition.
The global development of humanoid robots is in its new phase as breakthroughs in artificial intelligence (AI) and robotics engineering combine with an unexpected driver which is human-generated data at scale.
Recent reporting by CNN reveals a crucial shift in how these robots are being trained. “Thousands of workers around the world are helping develop humanoid robots by filming themselves doing household chores, data is used to teach robots how to replicate human actions.”
This approach signifies a departure from traditional robotics programming by relying instead on vast datasets of human behavior to power embodied AI which are systems that learn by observing and mimicking real-world activities.
CNN further noted that humanoid robots are emerging as the latest frontier in the race to dominate advanced technology reflecting growing competition among global tech firms and startups.
A recent report shows humanoid robots are now moving out of research labs and into real-world environments such as manufacturing and logistics, driven by labor shortages and the need for automation in repetitive or hazardous jobs.
Companies are already preparing for deployment at scale. In the United States, Foxconn plans to introduce humanoid robots into AI server production lines, signalling early commercial adoption in industrial settings.
Many humanoid robots rely partly on human control (teleoperation), and scaling them for reliable, autonomous use in complex environments remains a major hurdle.
Companies like Skild AI are developing general-purpose ‘robot brains,’ while others focus on hardware capable of human-like movement and dexterity.
The convergence of AI, data, and robotics could make humanoid machines as transformative as smartphones reshaping industries from manufacturing to healthcare.
The future of humanoid robots may not just be built in labs but crowdsourced from millions of human actions, captured, learned, and replicated by machines which will redefine the nature of work.
