Tag
32 articles
Italian rehabilitation robotics startup Wearable Robotics has raised €5 million to expand its arm exoskeleton technology globally. The funding, led by CDP Venture Capital, will support international growth and enhanced manufacturing capabilities.
A new study reveals that even top AI models struggle to control robots without human-designed abstractions, but agentic scaffolding can help close the gap.
Learn how vision-language models like GLM-5V-Turbo help computers understand both images and code, and how this technology is advancing robotics and software development.
SAP and ANYbotics are merging their technologies to advance the adoption of physical AI in industrial environments, enhancing safety and efficiency through autonomous robotics integrated with enterprise software.
This explainer explores how Giraffe360's AI-powered robotic system automates property media creation using computer vision, robotics, and deep learning technologies.
Decathlon has doubled warehouse output across seven European sites using Exotec's climbing robots, highlighting the growing role of automation in retail logistics.
Former First Lady Melania Trump suggests AI and robotics could play a major role in homeschooling, sparking debate about technology's future in education.
This article explains the technical concepts behind humanoid robotics, focusing on how AI and control systems enable robots like Sprout to navigate and interact with the physical world.
Learn how to set up a robot simulation environment and integrate AI models that can help robots understand and interact with their surroundings, similar to how Agile Robots partners with Google DeepMind.
Learn about Xiaomi's new MiMo AI models that combine multiple data types to create autonomous AI agents capable of controlling software, robots, and voice systems.
eternal.ag has raised €8 million to develop autonomous greenhouse robots using a simulation-first approach that trains machines virtually before real-world deployment.
Learn to set up and use the UR AI Trainer for capturing robot training data, integrating force, motion, and visual sensors for imitation learning.