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    Home ASIA-PACIFIC Japan

    Robots pour cocktails and run marathons, but still can’t multitask

    The Analyst by The Analyst
    June 21, 2026
    in Japan
    Robots pour cocktails and run marathons, but still can’t multitask


    BOSTON – They can mix cocktails, run marathons and fold laundry. But humanoid robots are still a long way from doing lots of different jobs on command, whatever the marketing says.

    READ ALSO

    Eleven people taken to hospital following fire at Tokyo elementary school

    Tomohiro Osaki – The Japan Times

    The gap was easy to spot at the Robotics Summit in Boston in late May. The glossy brochures promised one thing. The people who actually build the machines said another.

    Entrepreneur Elon Musk loves to show off his Optimus prototype, recently filmed jogging in short strides. Figure 03, a third-generation robot developed by Figure AI, can tidy and clean a living room by itself.

    China’s AgiBot and Matrix Robotics say their robots can greet visitors, serve coffee and give them a tour, a little like C-3PO from “Star Wars.”

    The reality is more modest.

    “Most of the humanoids you see are being teleoperated, or they’ve got very specific paths and chores that they do,” said Chris Matthieu of startup RealSense, which makes cameras for robots.

    In other words, many are either run by a human with a remote control or stuck doing one narrow task.

    Take Neo, the robot that 1X launched with great fanfare last October. It was billed as “the world’s first consumer-ready humanoid robot designed to transform life at home” — but was actually steered by a person off to the side.

    Progress is real, though, and artificial intelligence is driving it.

    “I think AI has extremely accelerated that growth,” said William Okazaki of sensor maker Renesas.

    One big hurdle is the hands. Long the holy grail of robotics, they are getting close: robots can now grip with a delicate touch, and some sensors can even tell when they are touching human skin.

    Much of this comes from a new kind of AI known as a VLA model, short for vision-language-action. It blends written instructions with what a camera sees in real time, so the robot can link what it is looking at to what it should do.

    There is also the “world model” — an AI that learns from vast amounts of images and video until it can predict what will happen next in the real world, such as how an object will shift when it is squeezed.

    But an android that can do a bit of everything is still years off.

    “For general purpose robots, it will take longer,” said Daniel Fan of Innodisk, which makes parts for robots.

    Plenty of humanoids are already out in the world — Boston Dynamics’ Atlas at Hyundai, Hexagon Robotics’ AEON at a BMW site — but these are trials, not final products.

    “Until you actually get the robot actually trying to do the thing you think it can do, you don’t really know,” said Charlie Kemp…



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