Physical AI is based on the idea that intelligence shouldn't stop at perception: instead, it should bring to life systems able to sense their environment, reason about it, and act on it – all in one continuous loop. It's what makes the difference between a device that observes and one that acts.
A working reference for the STM32F103 line: the four density classes and what each gives you, why USB and CAN can't run together, the LQFP48 pin functions, how the Blue Pill is wired, and how to spot the clones on cheap boards.
This comprehensive article dives deep into the world of robotics, exploring the history, types, engineering components, applications, and future trends of robots, offering readers an in-depth understanding of how these remarkable machines work and shape our lives.
The hospitality industry can leverage the gender characteristics of service robots to influence customers' decisions, according to new research from a team in the Penn State School of Hospitality Management.
Service robots have evolved from simple automated machines to intelligent adaptive systems that can navigate unpredictable environments and interact with humans.
Engineers at Princeton and North Carolina State University have combined ancient paper folding and modern materials science to create a soft robot that bends and twists through mazes with ease.
A research team from ETH Zurich and the University of Zurich (UZH) has developed a novel approach to treating spinal cord injuries: controllable microrobots deliver stem cells directly to the site of an injury, where they promote nerve cell regeneration.
Cornell engineers have developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes and adapts to its environment without centralized control.
From hospital wards to crop fields, from microscopic swarms to biohybrid machines powered by fungi, robotics research at Cornell spans an astonishing range of scale, application and ambition.
Physical AI is based on the idea that intelligence shouldn't stop at perception: instead, it should bring to life systems able to sense their environment, reason about it, and act on it – all in one continuous loop. It's what makes the difference between a device that observes and one that acts.
A working reference for the STM32F103 line: the four density classes and what each gives you, why USB and CAN can't run together, the LQFP48 pin functions, how the Blue Pill is wired, and how to spot the clones on cheap boards.
Industrial automation is becoming smarter and more accessible. Edge-ready foundation models are transforming natural language into machine control, reducing complexity and reshaping the factory floor into a more intuitive, conversational environment.
STM32 vs ESP32 compared on architecture, Wi-Fi, power, peripherals, toolchains, safety, and longevity. Current 2026 specs from vendor datasheets, plus a decision table.
This article examines microcontroller vs microprocessor architectures at the system level, explaining how their hardware resources, boot requirements, software stacks, and application demands differ.
An STM32 microcontroller selection guide built as a working method: narrowing 1,644 parts down to one order code, organized by the constraint that actually drives your design rather than by part number.
Engineered airflow solutions play a vital role in keeping medical devices precise, quiet, and reliable. ebm-papst and Sager Electronics partner to support engineers with a broad portfolio of fans and custom airflow solutions for building high-quality medical devices.
Lockout/Tagout (LOTO) is a mandated set of safety procedures operational in the United States, under the governance of the US Department of Labor's Occupational Safety & Health Administration (OSHA).
Explore the Arduino VENTUNO Q edge AI SBC: dual-brain architecture, up to 40 TOPS NPU, ROS 2 support, and Arduino App Lab for AI and robotics development.