Researchers at the University of Massachusetts and the Air Force Research Laboratory Information Directorate have recently created a 3-D computing circuit that could be used to map and implement complex machine learning algorithms, such convolutional neural networks...
TECHXPLORE
A system to reproduce different animal locomotion skills in robots
Researchers at Google Research and the University of California, Berkeley, have recently developed an imitation learning system that could enable a variety of agile locomotion behaviors in robots. Their technique, presented in a paper pre-published on arXiv, allows...
A highly performing and efficient e-skin for robotic applications
Researchers at Technische Universität München in Germany have recently developed an electronic skin that could help to reproduce the human sense of touch in robots. This e-skin, presented in a paper published in MDPI's Sensors journal, requires far less computational...
A new flexible piezoelectric composite for 3-D printing
Researchers at Peking University, Southern University of Science and Technology and the University of Jinan in China have recently designed a ceramic-polymer composite that can be used to print complex 3-D grid architectures. This composite, first presented in a paper...
An algorithm to enhance the robotic assembly of customized products
Robots could soon assist humans in a variety of fields, including in manufacturing and industrial settings. A robotic system that can automatically assemble customized products may be particularly desirable for manufacturers, as it could significantly decrease the...
SQuad: A miniature robot that can walk and climb obstacles
Researchers at Bilkent University in Turkey have recently created a small quadruped robot called SQuad, which is made of soft structural materials. This unique robot, presented in a paper published in IEEE Robotics and Automation Letters, is more flexible than...
Investigating the role of different neurons in artificial neural networks
Over the past decade or so, researchers worldwide have been developing increasingly advanced artificial neural networks (ANNs), computational methods designed to replicate biological mechanisms and functions of the human brain. While some of these networks have...
Bio-inspired algorithms to produce collaborative behaviors for robot teams
Researchers at the University of Surrey have recently developed self-organizing algorithms inspired by biological morphogenesis that can generate formations for multi-robot teams, adapting to the environment they are moving in. Their recent study, featured in IEEE...
This is PATRICK: Meet the brittle star-inspired robot that can crawl underwater
Researchers at Carnegie Mellon University have recently created PATRICK, an untethered soft robot that artificially replicates the structure and behavior of the brittle star, a marine invertebrate closely related to starfish. This unique bio-inspired robot, presented...
Highly efficient solution-processed upconversion photodetectors based on quantum dots
Researchers at ShanghaiTech University, the University of Toronto and the Chinese Academy of Sciences have recently developed new solution-processed upconversion photodetectors, which are a class of devices that can detect or respond to light. These devices, presented...