2/14/2024 0 Comments Robots agvAll these flows are real-time and deterministic, meaning control and telemetry messages must be received within a specific window for real-time processing. Onboard safety processes may run that also interact with external systems. Additional flows exist to interact with third-party devices, such as any other moving object (crane, forklift, truck), or static objects that can interact (gates, doors, ramps, rails, manufacturing machines). Object InteractionsĬommunication flows can exist between mobile robots, to pass real-time telemetry information, pulling in primary data for route finding and collision avoidance algorithms. For this blog, I will consider the network traffic carrying interactions external to the mobile robot system, akin to the on-board intelligence model. There is a spectrum of possibilities due to the varying functional building block locations in the edge architecture. Some devices will have all intelligence and decision-making capabilities on board, and others will utilise a centralised control system. The communication flow for these devices depends upon the level of edge compute adoption in the system. I have also seen cooperating interactions with other machines to achieve a particular outcome. Modern AI techniques allow dynamic behaviours such as collision avoidance and route decision making on the fly. These machines are programmed to execute multiple tasks, with predefined outcomes, such as handling some equipment or material. Subsequent blogs will address the remaining of the three use-cases:ġ) Mobile Robots and Automated Guided Vehiclesģ) Process automation monitoring Mobile Robots and Automated Guided Vehicles I always ask the question: What are the different options to serve these application requirements? This blog is the first in a series, bringing a lens on robots and AGV, dissecting the application flow and a little detail on why the serving wireless medium must behave in a particular way to support it. Such articles often leave out critical details, such as what is actually needed from the network. For these digital industrial processes to run over wireless infrastructure, the communications technology must deliver against strict application requirements for performance and reliability. Examples include mobile robots, automated guided vehicles (AGV) and manufacturing infrastructure. One of the main features of Industry 4.0 is interoperability for mobile cyber-physical systems. For example, with digital twins and modular flexible systems. Adoption of digital industrial processes have accelerated since the German government led this initiative to maintain national industrial prowess. They also strictly comply with and exceed the demands of international safety standards.ĪGV systems provide a safe and cost-effective alternative to manually transporting goods, especially sensitive or hazardous products, and are suitable for materials handling applications in harsh conditions including outdoors and in cold stores.The Internet is littered with articles about Industry 4.0. Thanks to their accuracy and safety features, AGVs create a safer working environment, with no accidental collisions and zero damage to product loads. They automatically lift, rotate, and shift your goods, fetch and carry loads to and from racking, store and retrieve in block-stack or deep-stack lanes up to 10.7 m high, transport loads over long distances, and can deliver and collect loads to and from a wide range of conveyors, processing machines, palletising systems and automated storage and retrieval systems (ASRS). Equally at home in factories, warehouses, distribution centres, and shipping areas, AGVs are a safe and secure way to increase process efficiency and improve business profitability. AGVs are used in a variety of industries to transport and store all kinds of products and materials all without human intervention.
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