A better way to control shape-shifting soft robots
Imagine a slime-like robot that can seamlessly change its shape to squeeze through narrow spaces, which could be deployed inside the human body to remove an unwanted item.
May 9, 2024
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Robotics
Imagine a slime-like robot that can seamlessly change its shape to squeeze through narrow spaces, which could be deployed inside the human body to remove an unwanted item.
May 9, 2024
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39
Robotics
Northwestern University engineers have developed a new artificial intelligence (AI) algorithm designed specifically for smart robotics. By helping robots rapidly and reliably learn complex skills, the new method could significantly ...
May 2, 2024
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Engineering
Researchers have developed a technique to move objects around with a jet of wind. The new approach makes it possible to manipulate objects at a distance and could be integrated into robots to give machines ethereal fingers.
Apr 29, 2024
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Electronics & Semiconductors
A new study from NC State University combines three-dimensional embroidery techniques with machine learning to create a fabric-based sensor that can control electronic devices through touch. The paper is published in the ...
Apr 17, 2024
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Engineering
Combinatorial optimization problems (COPs) have applications in many different fields such as logistics, supply chain management, machine learning, material design and drug discovery, among others, for finding the optimal ...
Mar 25, 2024
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Computer Sciences
A collaboration between AI researchers at Stanford University and Notbad AI Inc. has resulted in the development of an algorithm that allows current chatbots to mull over possible responses to a query before giving its final ...
Computer Sciences
Imagine yourself glancing at a busy street for a few moments, then trying to sketch the scene you saw from memory. Most people could draw the rough positions of the major objects like cars, people, and crosswalks, but almost ...
Mar 18, 2024
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Robotics
If a robot traveling to a destination has just two possible paths, it needs only to compare the routes' travel time and probability of success. But if the robot is traversing a complex environment with many possible paths, ...
Mar 14, 2024
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Computer Sciences
In 2012, the best language models were small recurrent networks that struggled to form coherent sentences. Fast forward to today, and large language models like GPT-4 outperform most students on the SAT. How has this rapid ...
Mar 13, 2024
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Machine learning & AI
How do you know you are looking at a dog? What are the odds you are right? If you're a machine-learning algorithm, you sift through thousands of images—and millions of probabilities—to arrive at the "true" answer, but ...
Mar 12, 2024
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