Video Friday is your weekly selection of awesome robotics videos, collected by your friends on IEEE Spectrum robotics. We are also publishing a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.
ROSCon 2025: October 27-29, 2025, SINGAPORE
Enjoy today’s videos!
Welcome to this world: measuring 180 cm and weighing 70 kg. The H2 bionic humanoid, born to serve everyone in complete safety and friendliness.
Starting at US$29,900 plus tax and shipping.
[ Unitree ]
The title of this one, āEagle Stole our FPV Droneā, sums up the situation quite well.
[ Team BlackSheep ]
[ Seoul National University ]
Thank you, Kyu-Jin!
Just so you know, any robot that looks like a delicious pastry has guaranteed favorable coverage on Video Friday.
[ Cleo Robotics ]
Oli now performs a smooth, coordinated whole-body sequence from lying down to getting up. Standing 165cm tall and powered by 31 degrees of freedom, Oli continues to demonstrate natural, fluid movement.
[ LimX Dynamics ]
Thank you Jinyan!
Blog friend Bram Vanderborght visits the exhibition space at IROS 2025 in Hanghzou, China.
[ IROS 2025 ]
In a fireside chat with Professor Sam Madden, Tye Brady, Chief Technologist at Amazon Robotics, will discuss the trajectory of robotics and the role of generative AI in robotics innovation.
[ MIT Generative AI Impact Consortium ]
Professor Dimitrios Kanoulas gave a guest lecture at the Art of Robustness: Surviving Failures in Robotics workshop at IROS 2025.
[ IROS 2025 ]
This University of Pennsylvania GRASP conference is moderated by Suraj Nair of Physical Intelligence, on “Scaling Robot Learning with Vision-Language-Action Models.”
Recent years have witnessed enormous advances in the capabilities of AI systems, largely driven by core models that scale expressive architectures with diverse data sources. Although the impact of this technology on vision and language understanding is very clear, its use in robotics is still in its infancy. Scaling robotic learning still presents many open challenges, from selecting the appropriate data to scale to developing algorithms that can effectively adapt that data for closed-loop operation in the physical world. At Physical Intelligence, we aim to address these questions. This talk will showcase our recent work on building vision-language-action models, covering topics such as architecture design, data scaling, and open research directions.
[ University of Pennsylvania GRASP Laboratory ]
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