Autonomous mobile robots, AMRs, typically use LiDAR sensors for the detection of objects. These sensors emit light and rely on a reflection to measure the distance to a particular surface. This is a great method for detecting solid objects but can create challenges when surrounded by transparent materials like glass. In these cases, the emitted light can pass through the material and cause collisions or false readings and loss of position. This type of false reading can result in product damage, downtime, or human injury.
Mobile robots typically use some version of a LiDAR sensor for navigation. LiDAR, which stands for light detection and ranging, is a remote sensing method that measures variable distances using light in the form of a pulsed laser. LiDAR helps localize, navigate, and avoid obstacles so the robot can perceive surroundings and select a collision-free path. As new industries continue to adopt mobile robots, they must be able to navigate new, dynamic environments. One of the challenges in these environments is navigating around drop-offs or cliffs, also known as negative obstacles.
Data Matrix codes pack a tremendous amount of digital information into a postage-stamp-sized footprint. Found in seemingly endless commercial and consumer areas, such as warehouses, distribution centers, automotive, and production facilities, their full potential in industrial automation applications is only now being tapped. Want to elevate your logistics? Read on to learn how this powerful technology enhances the control of autonomous mobile robots (AMR) and automated guided vehicles (AGV).
In the automation world, many different types of positioning systems are available. Whether mechanical, optical, magnetic, ultrasonic, inductive, camera-based systems, or a combination of technologies, determining which of these is effective for your positioning application is critical to the success of your automated processes.
Discovery Robotics has a corporate mission “to increase human productivity, safety, and quality of life by creating robotic solutions that deliver value to [their] customers.” The Pittsburgh, PA-based robotics manufacturer created the FX250, an autonomous commercial floor cleaning robot, to accomplish this mission in the janitorial services industry.
Moving from point A to B in a busy warehouse can be a challenge for even the most advanced AGVs. So, it is important that the right guidance system is in place to ensure material handling tasks can be performed accurately and reliably.
With the compact position guided vision (PGV) positioning system from Pepperl+Fuchs, even the smallest AGVs can navigate without error. The PGV works in conjunction with the following four guidance options, all of which are available for our newest PGV EtherNet/IP version for more interoperability: Data Matrix code tape, colored lanes, control codes, and Data Matrix tags.
Efficient intralogistics requires automated guided vehicles (AGVs) to move with speed and precision through warehouses or factory floors, avoiding obstacles and navigation errors. Navigation technology is essential to ensuring an AGV and the product it is carrying make it to their destination in one piece. One of the most popular types of AGV guidance technology is tape. The two types of AGV navigation tape are nonmagnetic tape, which can be comprised of Data Matrix codes or just solid color, and magnetic tape.