Researchers at ETH Zürich's Autonomous Systems Lab have recently developed a map management process for visual localization systems, specifically designed for operations in outdoor environments involving several vehicles. Their study, presented at this year's...
Several real-world tasks have sparse rewards and this poses challenges for the development of reinforcement learning (RL) algorithms. A solution to this problem is to allow an agent to autonomously create a reward for itself, making rewards denser and more suitable...
Researchers at the Reconfigurable Robotics Lab (RRL) of École Polytechnique Fédèrale de Lausanne (EPFL) have recently developed a new approach for the reconfiguration of modular robots that is inspired by the art of origami. This method, outlined in a paper published...
A team of researchers at Yale University has recently developed a robotic system capable of representing, learning and inferring ownership relations and norms. Their study, pre-published on arXiv, addresses some of the complex challenges associated with teaching...
A team of researchers at Yamagata University and Teikyo University of Science, in Japan, have recently developed a new roving biologger, or whale rover, which can travel along a sperm whale's body surface and collect valuable behavioral data. Biologging entails the...
Researchers from Chongqing University, in China, have recently developed a self-powered triboelectric auditory sensor (TAS) that could be used to build electronic auditory systems for external hearing aids in intelligent robotics applications. Their recent study,...
A team of researchers at the Medical University of Vienna has recently evaluated the effectiveness of machine learning strategies to identify bacteraemia in patients affected by systemic inflammatory response syndrome (SIRS). Their study, published in Scientific...
A team of researchers at the University of Hartford, the University of Connecticut, and the Max Planck Institute for Intelligent Systems have recently proposed a case-supported, principle-based behavior paradigm toward ensuring the ethical behavior of autonomous...
Researchers at Fukuoka University, in Japan, have recently proposed a design methodology for configurable approximate arithmetic circuits. As part of their study, published on ResearchGate, they applied their method to a prototype system for image processing that...
The rapid growth of logistics businesses has generated a need for more evolved and efficient warehouse systems. Advances in robotics could help to meet these needs by automating tasks that are currently completed by humans, significantly speeding up the workflow.