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Recent Articles
Search ArticlesChemical Robots Find Hidden Reactivity in a Century-Old Reaction
Reviewed by Sarah Kelly Chemical reactions have been reimagined by researchers not as straightforward paths but as mechanistic networks hidden within vast hyperspaces of conditions. Their findings were published in the journal Nature Synthesis. Study: Hyperspace exploration using robotics for the discovery of mechanistically distinct transformations and complex functional products.
How Can the Study of Elephant Trunk Skin Help Us Build Robots?
Reviewed by Susha Cheriyedath, M.Sc. The Grasp Protect Paradox Two Skins One Trunk Practical Applications Fabrication Hurdles Conclusion The skin of the elephant trunk is inspiring engineers to solve one of robotics' oldest problems, the conflict between toughness and sensitivity in a single surface. Recent biomechanical research on the Asian elephant trunk reveals a skin architecture so precisely zoned that it separates protection from perception without sacrificing either function.
What Makes Infrastructure Professionals Trust Explainable AI?
Reviewed by Sarah Kelly *Important notice: This news reports on an unedited version of an accepted paper and is awaiting final editing. Therefore, the paper should not be regarded as conclusive or treated as established information. A recent investigation has mapped the factors that shape how much professionals who plan, build, and manage infrastructure trust artificial intelligence (AI).
Miniature Diving Suit for Cockroaches Opens Door for Navigating Hazardous Land-Water Environments
Reviewed by Laura Thomson Researchers have developed a miniature diving suit with an onboard oxygen generator that enables cyborg cockroaches to survive underwater for up to three hours, opening new possibilities for navigating confined and hazardous land-water environments. The research was published in Nature. Study: Underwater Suit-Wearing Cyborg Insect Capable of Hours-Long Diving and Terra-Aqua Travel.
ABB Robotics Collaborates with Roche to Bring Physical AI to Laboratories
ABB Robotics has announced a global collaboration with Roche Diagnostics to develop and bring to market new robotic solutions for clinical laboratories. The collaboration lays the foundation for a new era of connected labs that are flexible, fast and reliable to meet the growing demands of modern healthcare.
What Google DeepMind's Gemini Robotics Means for the Future of Autonomous Machines
Reviewed by Susha Cheriyedath, M.Sc. Google DeepMind's Gemini Robotics gives machines a shared brain for seeing, reasoning, and acting, moving autonomous systems closer to general-purpose use.
Deep-Learning Tool Improves Anatomical Recognition in Pelvic Surgery
Reviewed by Sarah Kelly An artificial intelligence model (AI) has been designed to identify key anatomical structures during pelvic lymph node dissection (PLND). Trained on surgical videos, the model achieved strong accuracy for the obturator nerve and the two major iliac vessels, though recognition of the ureter proved more difficult.
New AI Framework Helps Robots Answer Spatiotemporal Questions
Reviewed by Sarah Kelly A new real-time framework has been developed, termed Describe Anything, Anywhere, at Any Moment (DAAAM), that builds detailed, language-rich four-dimensional (4D) scene graphs from videos. Researchers combined batch-processed vision-language descriptions with spatial memory, enabling robots or augmented reality (AR) systems to understand and answer spatiotemporal queries in large-scale environments. These findings were released as a preprint in the repository arXiv.
Quibim Launches CE and UKCA-Marked QP-Breast®, the First AI Tool to Detect Breast Cancer via MRI in Europe and the UK
Quibim, a global leader in precision imaging and artificial intelligence (AI) solutions, today announces the European and UK launch of QP-Breast®, its CE and UKCA-marked AI tool - the first in Europe and the United Kingdom to detect breast cancer using magnetic resonance imaging - which automatically identifies suspected lesions on breast MRI.
New 6 mW Chip Helps Small Robots Build 3D Maps in Real Time
Reviewed by Sarah Kelly Gleanmer is a novel system-on-chip (SoC) technology that performs real-time three-dimensional (3D) occupancy mapping while consuming only 6 mW of power, comparable to a single light-emitting diode (LED). The chip combines a specialized hardware accelerator with an efficient algorithmic approach called GMMap, which represents 3D environments using Gaussian ellipsoids rather than traditional voxels. These findings were published in the preprint repository arXiv.