Machine learning
During the COVID-19 lockdown in the United Kingdom, parents of babies under 12 months turned to online groups for support, entertainment, and connection. A qualitative study conducted by researchers at the University of Stirling found that while online groups were a lifeline for some parents, they also presented challenges, such
Machine learning
Researchers from the National University of Defense Technology have made significant progress in overcoming the challenges of occlusion in UAV-based object detection. By leveraging the versatility of unmanned aerial vehicles (UAVs), they have developed an active object detection (AOD) method that enables autonomous path planning for target identification. To facilitate
Machine learning
Research published in the IEEE Robotics and Automation Letters has highlighted the promising potential of vision-based soft sensors in robotics and automation. The study, led by Nhan Huu Nguyen and his team from the Japan Advanced Institute of Science and Technology, reveals that these sensors can achieve multiple perceptual capabilities
Artificial intelligence
The highly anticipated Sirius robotic dog has finally made its way to the market, leveraging cutting-edge AI models and robotics to provide a user-friendly and customizable experience for consumers. Developed by Hengbot Innovation Ltd., Sirius has been generating buzz for its advanced AI multimodal interaction capabilities, high dynamic motion performance,
Artificial intelligence
Cyngn, a leading developer of autonomous vehicle technology for industrial organizations, has announced its collaboration with NVIDIA at the Automatica 2025 robotics and automation showcase. This collaboration highlights Cyngn's use of NVIDIA Isaac robotics platform to power next-generation autonomous vehicle solutions for industrial applications. As a featured innovator,
Artificial intelligence
Agricultural technology is poised to undergo a significant transformation as it becomes increasingly reliant on advanced artificial intelligence (AI), autonomous systems, and collaborative machinery. The Chinese review highlights the importance of data-driven production, with future agricultural intelligence deeply rooted in AI models and autonomous decision-making systems. This shift will enable
Artificial intelligence
Despite the growing interest in using artificial intelligence (AI) in monitoring oyster reefs, a recent study conducted at the University of Delaware has found that a deep learning algorithm, ODYSSEE, is not sufficiently accurate in identifying live oysters. The study, published in Frontiers in Robotics and AI, compared the performance
Artificial intelligence
Circus SE, a global leader in AI software and robotics for the food service industry, has secured Deutsche Tamoil and its fuel station brand HEM as a new customer. As part of this partnership, HEM is planning to deploy the AI-powered cooking robot, the Circus Autonomy One (CA-1), at its
Machine learning
Researchers at Fudan University have introduced Topo-Field, a novel framework for efficient topometric mapping in robotics. Topo-Field leverages a brain-inspired hierarchical layout-object-position (LOP) field model to integrate object and layout information, enabling the construction of a topometric map from a learned neural representation. This approach successfully bridges the gap between
Machine learning
A patent application has been filed for an apparatus that generates motion control data for a robot to facilitate nonverbal communication. The apparatus is designed to modify target motion based on a breathing motion pattern of a second user, simulating a more natural and empathetic interaction. This technology has the
Machine learning
Researchers from Oakland University have made significant breakthroughs in the field of robotics and artificial intelligence, particularly in few-shot learning techniques. According to a study published in Frontiers in Robotics and AI, they have developed a novel framework incorporating a Global Attention Mechanism (GAM) and Latent Dirichlet Allocation (LDA) generated
Machine learning
Researchers from Shandong University of Technology have made significant progress in the field of robotics, proposing a novel control framework for multi-axle active suspension vehicles to traverse impassable abrupt roads. The study, which was financially supported by the Natural Science Foundation of Shandong Province and the National Natural Science Foundation
