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    Home»AI/ML»One billion dollars in funding: Humanoid robot of figure
    AI/ML

    One billion dollars in funding: Humanoid robot of figure

    PineapplesUpdateBy PineapplesUpdateSeptember 19, 2025No Comments4 Mins Read
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    One billion dollars in funding: Humanoid robot of figure

    Video Friday is your weekly selection of the terrible robotics video collected by your friends IEEE spectrum Robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please Send us your events for inclusion.

    2025 activate: 23-24 September 2025, San Francisco
    Corl 2025: 27-30 September 2025, Seoul
    IEEE Humanoids: 30 September -2 October 2025, Seoul
    World robot summit: 10–12 October 2025, Osaka, Japan
    IROS 2025: 19-25 October 2025, Hangzo, China

    Enjoy today’s video!

    One billion dollars are a lot of money. And this is the real money, not only a evaluation. But there was already a lot of money in the figure. So what are they going to be able to do now that they were not already doing, I am surprised?

    https://www.youtube.com/watch?v=c- nmhem7iya

    , Shape ,

    Robots are often successful in simulation but fail into reality. With speed, we offer a systematic approach to sim-to-ethnic transfer.

    https://www.youtube.com/watch?v=knf-uqb9k50

    , paper ,

    Anthropomorphic robotic hand robots are required to learn from humans and work in human environment. While most designs mimic the dysfunctional human hands kinemetics and structure, anthropomorphic design must also match passive obedient properties, while attaining mastery and emerging behavior in human hands, while simultaneously is strictly matched. We present the adapt-teliops, which is a robotic hand combining a robotic hand with human-laid keinemetics, skin and passive mobility, as well as with a robotic arm for intuitive teleoporating.

    https://www.youtube.com/watch?v=gvnkmsfaq3q

    , paper ,

    This robot can run in its body without any electronic components, as the power is transmitted through wires from the motors centered outside its body. In addition, the front and back legs of this robot are better coupled and can walk with just four stars.

    https://www.youtube.com/watch?v=7YYYYYYYYYYYYYY4W88

    , JSK Lab ,

    Thank you, Tak Mahiro!

    Five teams of Los Almos engineers recently competed to create the final hole-ding robot dog in an engineering sprint. Just in days, teams programmed to dig their robot dogs, designed the custom “claws” from materials such as sheets metal, foam and 3D-affected polymer. The claws helped avoid drowning in a bucket of 30-gallon earthen buckets from mimicing of animal-digging behaviors. The teams raced to see whose dog could dig the largest hole and dig under the fastest fence.

    https://www.youtube.com/watch?v=akdagvctgck

    , Los almos ,

    This task presents uniplote, a compact hardware-software autonomy payload that can be integrated into a diverse robot avatar to enable flexible autonomous operations in the GPS-Narmi environment. The system integrates a multimodal sensing suit, which includes lidar, radar, vision, and inter -sensing that sensing for strong operations in situations where the universal approaches may fail. A large number of uses are used on various environment and different types of robot platforms to validate the competent mapping, plan and safe navigation capabilities.

    https://www.youtube.com/watch?v=6pwi4-ycv8m

    , NTNU ,

    Thanks, Kostas!

    Kaist Humanoid V0.5. DRCD Lab, developed in Kaist, trained through learning reinforcement with a control policy.

    https://www.youtube.com/watch?v=ytwo7ldn4c

    , Cast ,

    I just like the prescribed small hops.

    https://www.youtube.com/watch?v=f1AAXASKCSO

    , Paste ,

    I always doubt robotics labs that are exceptionally clean and systematic.

    https://www.youtube.com/watch?v=ovigdxft4le

    , Pondbotics ,

    Er, has Pal Robotics really seen kangaroo …?

    https://www.youtube.com/watch?v=g7rid4yb1tg

    , Friend ,

    See the spot push. Push, spot, push.

    https://www.youtube.com/watch?v=ug-5bn-5nja

    , Bunch ,

    Humanoid robots can accelerate the development of AI embroiled for functions such as autonomous discovery and rescue to hike, ecological monitoring in unemployed places, and more, researchers at the University of Michigan say that an AI model has been developed that describes the humanoids to hit the trails.

    https://www.youtube.com/watch?v=- kusnexvj2g

    , Michigan ,

    I am not affected dangerously breaking the humanoid robot.

    https://www.youtube.com/watch?v=b94_w7jir-8

    , Furrier ,

    This, however, will affect me.

    https://www.youtube.com/watch?v=7htev2udsae

    , Inria ,

    In this interview, Clone co-founder and CEO Dhanush Radhakrishnan discussed the company’s path directly from science fiction to create synthetic humans.

    (If youtube tries to auto-dab for you brilliantly, switch the audio track to the original (which youtube feels is polished) and the video will still be in English.)

    https://www.youtube.com/watch?v=2sya8Elzmes

    , Clone ,

    This documentary takes you behind scenes of HMND 01 Alpha Release: Late night of success, failures, and the UK’s first industrial humanoid robot.

    https://www.youtube.com/watch?v=Jyflldzulu4

    , Human -like ,

    What is the role of moral ideas in the development and deployment of robots and automation technologies, and what are the responsibilities of the researchers to ensure that these technologies move forward in ways that combine with transparent, fair and widespread well -being of society?

    https://www.youtube.com/watch?v=pgbzetzx424

    , Icra@40 ,

    https://www.youtube.com/watch?v=SRPX2HKAP98

    Humanoids represent the most versatile robot platforms, capable of walking, manipulating and collaborating with people in a human-focused environment. Nevertheless, despite the recent advances, the creation of a strong working humanoid in the real world is a fundamental challenge. Difficulties in the control of the entire body, strong conceptual arguments and difficulties in reducing the sim-to-previous differences have led to a hindrance in progress. In this, I will discuss how these obstacles can be systematically overcome in scalable simulation and learning.

    , Apon ,

    From your site articles

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