Archive 11.04.2024

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Adding a telescopic leg beneath a quadcopter to create a hopping drone

A team of biomedical, mechanical, and aerospace engineers from City University of Hong Kong and Hong Kong University of Science and Technology has developed a hopping robot by attaching a spring-loaded telescopic leg to the underside of a quadcopter. Their paper is published in the journal Science Robotics.

AI makes retinal imaging 100 times faster, compared to manual method

Researchers applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is 100 times faster and improves image contrast 3.5-fold. The advance, they say, will provide researchers with a better tool to evaluate age-related macular degeneration (AMD) and other retinal diseases.

Better battery manufacturing: Robotic lab vets new reaction design strategy

New chemistries for batteries, semiconductors and more could be easier to manufacture, thanks to a new approach to making chemically complex materials that researchers at the University of Michigan and Samsung's Advanced Materials Lab have demonstrated.

A miniaturized vision-based tactile sensor based on fiber optic bundles

Researchers at Meta AI, Stanford University, Technische, Universität Dresden and the German Cancer Research Center (DFKZ) recently developed DIGIT Pinki, a miniature-sized sensor that can detect tactile information. This sensor, presented in a paper posted to the preprint server arXiv, could be integrated in new medical technologies and robotic systems.

Eye gaze and facial expression of robots are essential for interaction with humans, finds researcher

With rapid developments in artificial intelligence and robot technology, social robots will increasingly be used in society. Robotics researcher Chinmaya Mishra looked at the importance of gaze direction and human emotions in our communication with robots and developed two systems to make robots' faces work in our favor. Mishra will receive his Ph.D. at Radboud University on 17 April.

A fusion SLAM system that enhances the sensing and localization capabilities of biped climbing robots

Climbing robots could have many valuable real-world applications, ranging from the completion of maintenance tasks on roofs or other tall structures to the delivery of parcels or survival kits in locations that are difficult to access. To be successfully deployed in real-world settings, however, these robots should be able to effectively sense and map their surroundings, while also accurately predicting where they are located within mapped environments.
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