This clever solution for robotic engraving on unknown, curved surfaces uses Photoneo 3D vision to get an accurate point cloud. The 3D data is then used for the creation of an optimal trajectory to navigate the robot with high precision.
The MGV (Mechanical Guidance Vehicle) device is a self-controlling device without a driver. The guidance system of this device is mechanical, without a driver. Rough surfaces, which are one of the limitations of the AGV (Automated Guided Vehicle) device, do not exist for this device.
With growing concern over microplastics from ocean waste, autonomous underwater vehicles — AUVs — have been proposed as a tool for cleaning up our seas, but only if they can pick the plastics out from the fish: Enter these tweaked EfficientDets, boosting accuracy for the task.
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.
This clever solution for robotic engraving on unknown, curved surfaces uses Photoneo 3D vision to get an accurate point cloud. The 3D data is then used for the creation of an optimal trajectory to navigate the robot with high precision.
The MGV (Mechanical Guidance Vehicle) device is a self-controlling device without a driver. The guidance system of this device is mechanical, without a driver. Rough surfaces, which are one of the limitations of the AGV (Automated Guided Vehicle) device, do not exist for this device.
With growing concern over microplastics from ocean waste, autonomous underwater vehicles — AUVs — have been proposed as a tool for cleaning up our seas, but only if they can pick the plastics out from the fish: Enter these tweaked EfficientDets, boosting accuracy for the task.
One of the main things people are interested in when solving a complex robotic manipulator problem is the DoF and Functions. These two distinct pieces of terminology help to shortcut conversations and make sure everyone is talking on the same page!
Parts presentation isn’t always the easiest automation problem to solve but it can be one of the most important in determining the level of automation you can add to a production line.
Created by the Dynamic Locomotion Group at the Max Planck Institute for Intelligent Systems (MPI-IS), BirdBot serves two purposes: Demonstrating a more efficient bipedal robot design, and furthering our understanding of how birds' legs work.
An ROV camera is any visual imaging system that can be used on underwater ROVs to provide the operator with a perception of the operating environment. The depth rating for an ROV camera usually starts at 300m.
Designed using off-the-shelf parts, a low-cost microcontroller, and a 3D-printed chassis, the HeRo 2.0 robot costs just $18 to build — and is at the heart of an effort to open swarm robotics up to a broader audience.
Designed to monitor the whole sky for signs of meteors, which can be traced back to their cometary origins, the CAMS project has recently received a big upgrade to its detection and visualization pipeline — with the SpaceML project bringing citizen scientists into the mix.
The aim of this article is to provide a high-level answer to the question: “What do people use underwater robotic arms for?” If you’ve worked with Remotely Operated Vehicles (ROVs) before, this article probably isn’t for you. For everyone else, let’s go.
A framework that uses both audio and image modality for event classification– tested on COVID-19 prescreening and battlefield object detection, later evaluated on the Raspberry Pi 4 single-board computer.