Humanoid Robots Show Narrow Skills, Not Multitasking

Humanoid robots demonstrated at the Robotics Summit in Boston can mix cocktails, run marathons, and fold laundry, but most remain teleoperated or restricted to scripted tasks, according to AFP-JIJI reporting in The Japan Times. Engineers noted that AI has accelerated progress, but general-purpose multitasking remains elusive, with many systems still steered by humans or limited to specific paths.

Humanoid Robots Show Narrow Skills, Not Multitasking AFP-JIJI reporting in The Japan Times from the Robotics Summit in Boston notes that humanoid robots can mix cocktails, run marathons and fold laundry, but many remain teleoperated or restricted to scripted chores. The report cites prototypes and products including Elon Musk's Optimus , Figure AI's Figure 03 , China's AgiBot and Matrix Robotics , and 1X's Neo , the latter described as being steered by a person AFP-JIJI in The Japan Times . Engineer and vendor quotes include Chris Matthieu of RealSense, who said, "Most of the humanoids you see are being teleoperated, or they've got very specific paths and chores that they do," and William Okazaki of Renesas, who said AI has "extremely accelerated" growth AFP-JIJI . Editorial analysis: Industry practitioners should view current humanoids as advancing in specific skills, not as general-purpose assistants. What happened AFP-JIJI reporting in The Japan Times from the Robotics Summit in Boston in late May documents that humanoid robots can perform headline-grabbing tasks - mixing cocktails, running marathons and folding laundry - while remaining limited in general-purpose multitasking. The piece names prototypes and products including Elon Musk's Optimus , Figure AI's Figure 03 , China's AgiBot and Matrix Robotics , and 1X's Neo , which AFP-JIJI reports was steered by a person off to the side. The article includes a direct quote from Chris Matthieu of RealSense: "Most of the humanoids you see are being teleoperated, or they've got very specific paths and chores that they do." William Okazaki of Renesas is quoted saying "I think AI has extremely accelerated that growth." The report also describes advances from a class of systems called VLA models and mentions the idea of a "world model" trained on large image and video corpora AFP-JIJI in The Japan Times . Editorial analysis - technical context Robotics practitioners should read the report as a status snapshot: perceptual and manipulation subsystems are improving, but end-to-end autonomy remains fragile. Companies and labs often combine teleoperation, scripted trajectories and learned components to achieve specific demonstrations. Improving hands, tactile sensing and closing the perception-to-action loop are recurring engineering bottlenecks in public demonstrations. Industry context Observers tracking embodied AI will recognize this as consistent with recent demonstrations that swap generality for reliability. Integration of VLA-style perception with motion controllers is a promising direction, but it amplifies systems-integration and data requirements across vision, language grounding and control. What to watch Indicators that would matter to practitioners include more demonstrations of manipulation under novel perturbations, peer-reviewed evaluations of VLA approaches on robotic tasks, and real-world deployments that operate without persistent teleoperation. Scoring Rationale The story is a notable status update on humanoid robotics that matters to practitioners building embodied AI pipelines, but it does not introduce a new model or a major benchmark. It highlights engineering gaps and perceptual advances that are relevant for teams working on manipulation and integration. Practice interview problems based on real data 1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with. Try 250 free problems /problems