News
This Smart Trolley Robot is lightweight, structurally simple, and engineered for precise control, the robot offers both ...
Will Cogley on MSN7d
DIY Animatronic 3D Printed Mouth using Arduino and Python
a hands-on diy project combining 3d printing, arduino, and python to create an animatronic mouth mechanism that brings motion and expression to robotics #3dprinting #arduino #python #animatronics #mak ...
Will Cogley on MSN7d
robotics meets creativity: building a 3d printed fox with arduino
I build robots that move, blink, and sometimes even creep you out. From animatronics to 3D printing experiments, I fuse mechanics, electronics, and creativity to bring ideas to life. Follow to see ...
Educational robotics company Hiwonder has released miniHexa, an AI hexapod robot based on an ESP32 with Arduino programming ...
Nathaneo Johnson co-founded Series while studying full-time at Yale. It raised $3.1m in pre-seed funding. He's disciplined, ...
CHINA has shown the world the latest high-tech weapons being added to a growing military arsenal – but is all as it seems?
Snazo Nzama and Elihle Msomi from KZN have earned recognition from Stockholm Junior Water Prize over their AI-powered robot tackling pollution.
A new study led by researchers at the University at Albany's Center for Technology in Government finds that in some rural and ...
As a child, inspired by an episode of "Sid the Science Kid," Kaylie Murangwa once tried to pry open her family's television, ...
19hon MSN
The story of Optimus, the humanoid robot at the heart of Elon Musk's growth plans for Tesla
For Elon Musk, the future of Tesla isn't its global fleet of EVs. It's Optimus, the humanoid robot designed to help humans ...
15h
Interesting Engineering on MSNEels’ locomotion secret could help design next-gen advanced robots
It was found that eels use sensory signals from their bodies, such as stretch and pressure, to adapt to their environment.
12d
Interesting Engineering on MSNHumanoids and robot dogs navigate unseen terrains using attention mapping
The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.
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