MATT overtakes challenges met during the process of testing in-vehicle-infotainment systems using its characteristic adaptability and capabilities to support an effective operation throughout the testing process.
The inertial navigation system is a basic component of obtaining a continuous navigation solution in various applications. The system suffers from a growing error over time. This article proposes a machine-learning-based adaptive neuro-fuzzy inference system to improve navigation performance.
Food processing techniques require the removal of moisture from the crop without destroying its nutritional qualities. The article proposes a dehydrator/oven whose temperature and humidity can be perfectly controlled and its generated heat is evenly distributed in its drying chamber.
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.
MATT overtakes challenges met during the process of testing in-vehicle-infotainment systems using its characteristic adaptability and capabilities to support an effective operation throughout the testing process.
The inertial navigation system is a basic component of obtaining a continuous navigation solution in various applications. The system suffers from a growing error over time. This article proposes a machine-learning-based adaptive neuro-fuzzy inference system to improve navigation performance.
Food processing techniques require the removal of moisture from the crop without destroying its nutritional qualities. The article proposes a dehydrator/oven whose temperature and humidity can be perfectly controlled and its generated heat is evenly distributed in its drying chamber.
Automation is one of the cornerstones of warehousing in Industry 4.0, but it will require a combination of technology working in concert to make it a success.
In this episode, we talk about how engineers inspired by some of biology’s most miniature wonders (like dandelions' seeds and microorganisms' cilia) are using their knowledge to make major breakthroughs in biosensing, robotics, biomedical engineering, and more.
Lights-out manufacturing refers to the manufacturing methodology where factories are fully-automated. While true lights-out factories are still rare today, manufacturers can look to companies like FANUC, in Japan, for inspiration.
Many manufacturers are struggling to find skilled labor for their manufacturing plants? According to the Society of Manufacturing Engineers, 89% of manufacturers are having difficulty finding skilled workers in the United States today.
Why is asparagus one of the most expensive vegetables in Europe? Because harvesters have to painstakingly pierce each stalk individually. A robot could change this, and engineers at the Bremen Centre for Mechatronics (BCM) are developing one.
This solution for FAVI enables the automation of picking parts from bins using two KUKA robots navigated by 3D vision and robotic intelligence from Photoneo.