Friday video Your weekly choice of amazing robotics Videos collected by friends in IEEE Spectrum robotics. We also publish a weekly calendar of upcoming robotics measures over the next few months. Please Send us your events for inclusion.
Corl 2025: September 27-30, 2025, Seoul
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World Robot summit: October 10–12, 2025, OsakaIN JAPAN
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Enjoy today's videos!
Twin robotics 1.5-nash the most capable model of vision on the linguistic action (VLA), which turns visual information and instructions into motor commands for the robot to complete the task. This model thinks, before taking measures and shows its process, helping the robots evaluate and perform more transparent tasks. He also studies by incarnations, Acceleration of learning skillsField
https://www.youtube.com/watch?v=uobzwjpb6xm
[ Google DeepMind ]
A simple gesture of “power traction” brings Carter directly into her hand. This is a fantastic example of how intuitive interaction can turn complex technologies into expanding our intention.
https://www.youtube.com/watch?v=vb73rrl3HDK
[ Robust.ai ]
I can’t do it, I feel bad because of this poor little robot.
https://www.youtube.com/watch?v=owbnt87cmki
[ Urban Robotics Laboratory, KAIST ]
Hey, look, there are no legs!
https://www.youtube.com/watch?v=5YDLZ54UNYY
[ Kinisi Robotics ]
Researchers from the University of Michigan and Shanghai University of Jiao Tonga developed Soft robot This can crawl along a flat track and climb vertical surfaces using their unique origami The structure of the robot can move with accuracy, usually observed only in hard robots.
https://www.youtube.com/watch?v=p4WSZMJ6KNW
[ University of Michigan Robotics ]
Unitree G1 learned the “anti -gravity” mode: stability is significantly improved in any sequence of actions, and even if it falls, it can quickly rise.
https://www.youtube.com/watch?v=bpslmx_v38e
[ Unitree ]
Kepler Robotics began the mass production of K2 bumblebee, the world's first commercially affordable humanoid robot based on the hybrid architecture of Tesla.
https://www.youtube.com/watch?v=iadq_1ulirq
[ Kepler Robotics ]
Reinforcement of training (RL) -That is based Underwear locomotion Controllers often require careful tuning of remuneration to track the speed or position of goals, while maintaining smooth movement in various places. Methods of imitation of movement using RL using demonstration data reduce the engineering of remuneration, but are not able to summarize in new environments. We turn to this, offering the hierarchical structure of RL, in which the low -level policy first rises first in order to imitate the movements of animals on flat earth, thereby creating priorities of movement. Real experiments with an quadrued Anymal-D robot confirm the possibility of our policy to generalize animals like animals Locomotion Skills for complex places, demonstrating smooth and effective locomotion and local navigation efficiency against the background of complex places with obstacles.
https://www.youtube.com/watch?v=g20geadn6GM
[ ETHZ RSL ]
I think that we entered the phase of “differentiation through the novelty” Robot vacuum cleanersField
https://www.youtube.com/watch?v=zmuw_mn2odg
[ Roborock ]
In this work, we represent Kinethreads: a new Haptic of a full body Exos The design built around the mechanisms of string-based motor skills that retain a light suit (less than 5 kilograms), soft and flexible and quickly, clothes (in less than 30 seconds), relatively cheap (about $ 400), and are also able to perform expressive, distributed and strong (up to 120 newton) effects.
[ ACM Symposium on User Interface and Software Technology ]
In this episode IBM AI in Action Podcast, Aaron Sonders, Technology Director Boston dynamicsIt deepens into the transforming potential of robotics with AI, emphasizing how robots become safer, more economically effective and widely accessible thanks to robotics as a service (RAAS).
https://www.youtube.com/watch?v=djtfw4v9a_c
[ IBM ]
This seminar of Carnegie is Mellon R.I. Soft roboticsField
https://www.youtube.com/watch?v=runxcn3ric
Robotics has a potential for solving many modern pressing problems in the fields, starting with Health for production before DisasterNevertheless, the traditional approaches used at the factory do not work well in unstructured environments. The key to solving many of these problems is the study of new, non -traditional designs. Fortunately, nature surrounds us with examples of new ways to navigate and interact with the real world. Robotics and designer laboratory of Dr. Tolly.
[ Carnegie Mellon University Robotics Institute ]
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