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    Home»AI & Robotics»Robot Videos: Modular Robots, Robot Pandas, and More
    AI & Robotics

    Robot Videos: Modular Robots, Robot Pandas, and More

    kirklandc008@gmail.comBy kirklandc008@gmail.comMarch 15, 2026No Comments3 Mins Read
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    Video Friday is your weekly selection of awesome robotics videos, collected by your friends at 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.

    ICRA 2026: 1–5 June 2026, VIENNA

    Enjoy today’s videos!

    All legged robots deployed “in the wild” to date were given a body plan that was predefined by human designers and could not be redefined in situ. The manual and permanent nature of this process has resulted in very few species of agile terrestrial robots beyond familiar four-limbed forms. Here, we introduce highly athletic modular building blocks and show how they enable the automatic design and rapid assembly of novel agile robots that can “hit the ground running” in unstructured outdoor environments.

    [ Northwestern UniversityCenter for Robotics and Biosystems ] [ Paper ] via [ Gizmodo ]

    If you were going to develop the ideal urban delivery robot more or less from scratch, it would be this.

    [ RIVR ]

    Don’t get me wrong, there are some clever things going on here, but I’m still having a lot of trouble seeing where the unique, sustainable value is for a humanoid robot performing these sorts of tasks.

    [ Figure ]

    One of those things that you don’t really think about as a human, but is actually pretty important.

    [ Paper ] via [ ETH Zurich ]

    We propose TRIP-Bag (Teleoperation, Recording, Intelligence in a Portable Bag), a portable, puppeteer-style teleoperation system fully contained within a commercial suitcase, as a practical solution for collecting high-fidelity manipulation data across varied settings.

    [ KIMLAB ]

    We propose an open-vocabulary semantic exploration system that enables robots to maintain consistent maps and efficiently locate (unseen) objects in semi-static real-world environments using LLM-guided reasoning.

    [ TUM ]

    That’s it folks, we have no need for real pandas anymore—if we ever did in the first place. Be honest, what has a panda done for you lately?

    [ MagicLab ]

    RoboGuard is a general-purpose guardrail for ensuring the safety of LLM-enabled robots. RoboGuard is configured offline with high-level safety rules and a robot description, reasons about how these safety rules are best applied in robot’s context, then synthesizes a plan that maximally follows user preferences while ensuring safety.

    [ RoboGuard ]

    In this demonstration, a small team responds to a (simulated) radiation contamination leak at a real nuclear reactor facility. The team deploys their reconfigurable robot to accompany them through the facility. As the station is suddenly plunged into darkness, the robot’s camera is hot-swapped to thermal so that it can continue on. Upon reaching the approximate location of the contamination, the team installs a Compton gamma-ray camera and pan-tilt illuminating device. The robot autonomously steps forward, locates the radiation source, and points it out with the illuminator.

    [ Paper ]

    On March 6th, 2025, the Robomechanics Lab at CMU was flooded with 4 feet of black water (i.e. mixed with sewage). We lost most of the robots in the lab, and as a tribute my students put together this “In Memoriam” video. It includes some previously unreleased robots and video clips.

    [ Carnegie Mellon University Robomechanics Lab ]

    There haven’t been a lot of successful education robots, but here’s one of them.

    [ Sphero ]

    The opening keynote from the 2025 Silicon Valley Humanoids Summit: “Insights Into Disney’s Robotic Character Platform,” by Moritz Baecher, Director, Zurich Lab, Disney Research.

    [ Humanoids Summit ]

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