Many researchers have work on the preprocessing of biomedical signal. Main objectives of these algorithms are to minimize noise and artifacts existing with these signals, so that it will be easy to ...

2025 Schedule for Onsite and Live Online Training The Carnegie Mellon Robotics Academy is excited to announce the dates for our 2025 Onsite and Live Online Training! This year, we’ve added something ...

Google’s new Gemini Robotics On‑Device AI model lets robots run entirely offline The model can learn new tasks from just 50 to 100 examples It adapts to different robot types, like humanoids ...

The Centereach High School robotics team showcased their engineering prowess and technology skills at the 2025 VEX Robotics World Championship, held May 9–11 at the Kay Bailey Hutchison Convention ...

Robo Brain – a large-scale computational system that learns from publicly available Internet resources – is currently downloading and processing about 1 billion images, 120,000 YouTube videos, and 100 ...

We have developed new, tiny robotic surgical tools that may let surgeons perform “keyhole surgery” on the brain. Despite their small size, our tools can mimic the full range of motion of a surgeon’s ...

This paper focuses on the developments of asynchronous motor imagery (MI) based brain-computer interfaces (BCIs) applications, signal processing and machine learning to provide some basic capabilities ...

Otherwise, they won’t notice any errors made by the robot, meaning that the researchers won't be able to signal that the robot is wrong. So, how far can this “mind-reading” go?

Shippers and 3PLs face an increasingly demanding and chaotic supply chain environment, with the warehouse a critical focal point. As operators struggle to build agility and scale while they manage ...

Programming the VEX V5 and VEX EXP systems are very similar, but there are some differences between them. Visit this page on the VEX website to learn more about the differences. This training course ...

Our research on "brain-inspired" computing, published today in Science Robotics , could make navigational robots of the future more energy efficient than previously imagined. This could potentially ...

In the study, the researchers developed LENS, a system that was able to recognise locations along an 8km journey but using only 180KB of storage – almost 300 times less than other systems. LENS ...