A single destination for timely, editor-curated robotics news from around the world.
A recent study by a Korean research team has achieved a breakthrough in 3D printing technology, specifically in the development of a pneumatic gripper capable of grasping eggs. Utilizing only 0.5 milliliters of resin, the team created a model that exhibits a remarkable elongation rate of over 600% a...
Researchers at MIT's McGovern Institute for Brain Research and K. Lisa Yang Integrative Computational Neuroscience Center have published a paper in PNAS detailing how artificial neural networks can autonomously build their own learning mechanisms. This self-organization mimics biological processes,...
In Kazakhstan, a project named GdeKotBot is utilizing free-roaming cats equipped with cameras and GPS trackers to assist in finding missing pets. This innovative approach combines artificial intelligence with community efforts, allowing the cats to gather footage in areas where frightened animals ma...
Cathy Wu, an associate professor at MIT, is leveraging machine learning and reinforcement learning to enhance transportation systems. Her personal experiences, including her father's long commutes and her childhood gaming, inspired her to tackle complex transportation challenges. Wu's research aims...
Predictive maintenance is transforming asset management by integrating machine learning, AI, and failure analysis. Historically, maintenance relied on scheduled strategies, often leading to unnecessary overhauls. The shift to informed preventive maintenance, utilizing route-based vibration data, has...
Deep Intelligence, a company focused on advancing artificial intelligence through human learning methodologies, has secured hundreds of millions in financing. This significant funding round, announced recently, highlights the growing interest in AI technologies that prioritize human-like learning pr...
Researchers have developed a new method that utilizes machine learning and feature selection to accurately predict aluminum levels in marine environments. This innovative approach aims to enhance the efficiency of monitoring efforts, addressing growing concerns over aluminum pollution in aquatic eco...
Recent advancements in machine learning have led to the development of innovative models that utilize routine clinical data to enhance stroke risk prediction in patients with atrial fibrillation. This breakthrough, which emerged from ongoing research in the field, aims to provide more personalized p...
In May 2026, researchers published a significant study in the Journal of Field Robotics, focusing on advancements in robotic technology. The study highlights innovative developments in autonomous navigation systems, which have the potential to enhance the efficiency and safety of robotic operations...
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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