A research article by scientists at the Nanjing University of Aeronautics and Astronautics developed a neural control algorithm to coordinate the adhesive toes and limbs of the climbing robot. The new ...
Interesting Engineering on MSN
Meet North: Robot plays high-speed ping-pong with 0.02-second reaction time
In contrast to robots bound by preset code, North is built for instantaneous response. It features a 0.02-second reaction ...
The EU AI Act could affect humanoids. AIC, or artificial integrated cognition, provides a path for AI to gain the trust ...
Instead of designing a humanoid robot with AI reasoning and neural networks, you can just teach it yourself. Researchers at Stanford University developed a robot that can imitate what you’re doing in ...
A humanoid robot can predict whether someone will smile a second before they do, and match the smile on its own face. The creators hope the technology could make interactions with robots more lifelike ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
For a Summer Undergraduate Research Fellowship project, Carnegie Mellon University sophomore Jasmine Li worked with robotic arms in the Robotic Caregiving and Human Interaction Lab to analyze the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results