Your AGVs cannot fail, and so the choice of their motorization is crucial. Here are 5 key points to bear in mind when motorizing an AGV.
To achieve large-scale commercialization of autonomous vehicles, a new generation of high-precision 3D environment sensing solid-state LiDAR technology products will be required to fulfill the industry's strict requirements.
Machine vision is used in a variety of industrial processes, such as material inspection, object recognition, pattern recognition, electronic component analysis, along with the recognition of signatures, optical characters, and currency.
• Supplier of High-Payload Autonomous Mobile Robots Complements Teradyne MiR's Leading AMR Position. • AutoGuide offers uniquely modular autonomous mobile tuggers and forklifts for high-payload material transport of up to 10,000 pounds (4,500 kg).
Segway-Ninebot officially released three new AI mobility products in two categories, including KickScooter T60, Powered By Segway, Segway DeliveryBot S2, and Segway Outdoor DeliveryBot X1.
From Toyota AI blog: The companys products work with vessels of all sizes including workboats, merchant container ships, and even cruise ships. Whats more, they support both existing and new marine vessels.
Autonomous submersible craft could harvest a species that is damaging critical reefs and depleting valuable fish supplies
The ins and outs of the technology can admittedly get very complicated but, essentially, autonomous robots are a fusion of (sometimes artificially intelligent) software, physical robotics hardware, and sensors.
With this new application in mobile robotics, the company plans to use its Simultaneous Localization and Mapping (SLAM) technology combined with deep learning and to pioneer in a new generation of robots.
A fully autonomous automobile is able to decide whether it can safely enter an intersection. It is able to decide how to maneuver around other vehicles, people, and other moving objects.
Autonomous vehicle innovators given access to free training and track time for testing and developing their new technologies
The worlds leading driverless technology conference, AutoSens (http://www.auto-sens.com), has teamed up with British start-up Self Driving Track Days (http://www.selfdrivingtrackdays.com) to deliver industry-backed test-track events and training workshops for students, SMEs, engineers and technologists wanting to learn about autonomous vehicles.
Bob Violino for ZDNet: Autonomous robots can perform actions or complete tasks with a high degree of autonomy, which makes them ideal for applications such as space exploration or cleaning your living room carpet. Mobile robots are capable of moving from place to place. Put these capabilities together and you got a powerful machine that can handle lots of tasks in industrial environments such as factories, as well as in hospitals, hotels, and other areas. And, in fact, one of the more prominent trends in robotics today is the growing popularity of autonomous mobile robots (AMRs), with new vendors jumping into the market and sales on the rise. AMRs are modular, self-driving mobile robots that can be used for a variety of business applications, such as locomotion, mapping, navigation, and inspection. Cont'd...
Ford, U-M Accelerate Autonomous Vehicle Research with Ford Researchers In-House at New Robotics Lab on U-M Campus
Ford and the University of Michigan today announce they are teaming up to accelerate autonomous vehicle research and development with a first-ever arrangement that embeds Ford researchers and engineers into a new state-of-the-art robotics laboratory on U-M's Ann Arbor campus. While the new robotics laboratory opens in 2020, by the end of this year Ford will move a dozen researchers into the North Campus Research Complex (NCRC). The announcement is the latest in a series of actions by Ford as it moves toward having fully autonomous SAE-defined level 4-capable vehicles available for high-volume commercial use in 2021. Autonomous vehicles are part of Ford's expansion to be an auto and a mobility company. Full Press Release:
Evan Ackerman for IEEE Spectrum: At Georgia Tech, Li Wang and professors Aaron D. Ames and Magnus Egerstedt have been developing ways to allow infinitely large teams of mobile robots to move around each other without colliding, and also without getting in each other’s way. This is very important for people like me, who have 37Roombas at home, but also for anyone imagining a future where roads are packed with autonomous cars. The fundamental issue here is robot paranoia. When robots move around, they typically maintain a sensor-based “panic zone” for safety, and if anything enters that space, they panic, and stop moving. If you have only two robots moving around, they can keep clear of one another, but as the number of robots increases, the odds that two “panic zones” will intersect also increases, to the point where they overlap and you just end up with a completely paralyzing global robot freakout. Or as the Georgia Tech researchers put it (in a much fancier way), “as the number of robots and the complexity of the task increases, it becomes increasingly difficult to design one single controller that simultaneously achieves multiple objectives, e.g., forming shapes, collision avoidance, and connectivity maintenance.” Cont'd...
5D ROBOTICS ACQUIRES UWB TECHNOLOGY LEADER TIME DOMAIN TO ACCELERATE INNOVATION IN AUTONOMOUS VEHICLE NAVIGATION
Time Domain is the leading provider of small, low-power UWB ranging radio and radar sensors which measure distance with an accuracy of 2 centimeters, send data, and detect objects, people and obstacles. 5D has partnered with Time Domain since 2012, adapting the latters PulsON® ranging radios into precision autonomous navigation and positioning solutions for a wide variety of air and ground vehicles.
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Program multi-robot cells and automatically solve robotic errors with ease. Hypertherm Associates announces a new version to its robotic programming software. Robotmaster 2024 addresses key market trends including the support for programming multiple robots in a single work cell and the demand for automatic trajectory optimization and robotic error correction.