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.
Claver 2025: 5–7 September 2025, Shenzhen, China
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!
Boston Dynamics is back and his dancing robot dogs are much larger, better and boulder than ever! See because they bring a “dead” robot into life and expose the dance routine synchronized for “good vibration” never seen dancing routines.
https://www.youtube.com/watch?v=o_iuqgxrrae
And the very interesting thing is that there is a discussion here how they worked it:
https://www.youtube.com/watch?v=LMPXTCEGTDS
, Boston dynamics ,
I do not specifically care whether a robot is over or not. I care whether it comes back again.
https://www.youtube.com/watch?v=4CXC0QJM82K
, Limx Dynamics ,
The robot autonomy automatically connects several wires to the environment using small flying anchors equipped with anchoring mechanisms on wire tips. Directed by an onboard RGB-D camera for control and environmental recognition, the system enables wire attachment to the unpublished environment and supports multi-wire connections simultaneously, which expands the operating limit of wire-driven robots.
https://www.youtube.com/watch?v=bxdlxf7bnqq
, JSK robotics laboratory ) But ( University of tokyo ,
Thank you, Shintaro!
For a robot which is barely a face, it is some very good feeling.
https://www.youtube.com/watch?v=kgmwidttyo00
, Pollen ,
Human speed learning skills offer a promising route to normal policies for human control of the entire body, yet two major corners are missing: (1) A scalable, high quality speed tracking framework that honestly converts kinematic references to actual hardware, and (2) (2) can taught them an effective manner. We address these intervals with bendemic, which is a real -world framework to learn from human speed for versatile and natural human control through directed proliferation.
https://www.youtube.com/watch?v=rs_mtkviazy
, Hybrid robotics ,
Introduction to our open-source metal-maid bippedal robot Mevita. All components can be purchased through e-commerce, and the robot is built with a minimum number of parts. All hardware, software and learning environment are released as an open source.
https://www.youtube.com/watch?v=_akfhkcne0s
, Mevita ,
Thanks, Kento!
I have always thought that it would be very useful to help the robot (or exoskeleton) to help help move the furniture or otherwise carry accessories.
https://www.youtube.com/watch?v=wubhxe-mpaq
, Deep robotics ,
A new study explains how small water insects use fan-like propellers, which is to zip in streams up to 120 body lengths per second. Researchers then created a similar fan structure and used it to pursue an insect-shaped robot and maneuver. This discovery provides new possibilities for designing small machines that can work during floods or other challenging situations.
https://www.youtube.com/watch?v=od0qvdwgvyoo
, Georgia Tech ,
The dynamic locomotion of Legged Robot is still an important topic in expanding the operating range of mobile robots. In order to achieve the strengthening of learning-based controllers, to achieve generalized legs on diverse areas, it proposes to learn a attention-based map encoding air-conditioned maps, which is trained as part of the end-to-controller using reinforcement of an attentive map encoding. We show that the network learns to focus on stable areas for future foothills when robots navigate dynamically and challenging areas.
https://www.youtube.com/watch?v=gugwb6wxcfo
, paper ) From ( Eth zurich ,
In the fifth installment of our Moonshot Podcast Deep Dive Video Interview series, X Captain of Moonshots Astro Taylor sat down with Jeff’s chief scientist Jeff Dean for a conversation about the origin of Jeff’s leading task scaling nerve network. They discuss for the first time that AI captured Jeff’s imagination, first of the team’s stratospheric progress, how AI is developing, and more.
https://www.youtube.com/watch?v=oeuh89bwrl4
, Moonshot podcast ,
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