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HomeGreen TechnologySiemens Xcelerator raises the bar on the sustainable intralogistics trade

Siemens Xcelerator raises the bar on the sustainable intralogistics trade


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Siemens’ know-how is getting used to reinforce automated guided automobiles (AGVs) and automatic autonomous cellular robots (AMRs). Right here, we dive into the idea and a few latest bulletins from Siemens.

Following the motto “LogiMAT 2024 – expertise the stream,” Siemens is showcasing its intensive automation and digitalization portfolio for the intralogistics trade at this yr’s Logimat. Intralogistics is the spine of each provide chain. Growing calls for for power effectivity and sustainability in addition to labor shortages and cybersecurity threats require environment friendly and adaptive materials stream know-how. IoT-enabled {hardware} and software program from the Siemens Xcelerator portfolio cowl the complete warehouse operation, together with receiving, transport, storage, selecting, packing, and transport. By leveraging digitalization, automation, and modern applied sciences just like the digital twin, Siemens is bettering the effectivity and sustainability of the intralogistics trade and paving the way in which for a sensible, adaptable, and resilient future for logistics operations.

Implementation of versatile, protected, and autonomous intralogistics processes with new capabilities for AMRs

On the commerce present sales space, Siemens might be demonstrating a totally automated autonomous cellular robotic (AMR) software that was realized utilizing the Simove modular system and options complete integration throughout all ranges. With Simove, Siemens provides a system platform particularly designed for automated guided automobiles (AGVs) and AMRs. The platform contains modular software program parts and libraries for steerage management, navigation, and normal automation and makes use of standardized automation and drive parts. The Simove modular system for AGV and AMR purposes allows the exact design of purposes that meet particular person necessities. An actual AMR with a robotic arm that performs gripping duties will even be on show. A completely built-in Siwarex weighing system for Simatic ET 200SP might be used for quick course of management and exact stock recording.

One other spotlight is the autonomous load-carrier dealing with know-how. The AI-based software program system allows AGVs and AMRs to visually detect, autonomously strategy, and routinely choose up load carriers in variable and dynamic environments. Autonomous load-carrier dealing with options are used for purposes like forklift vans, and their versatile use can considerably scale back prices, engineering, and time expenditures. Within the space of security, Siemens might be presenting the Safevelo software program prototype for AMRs. It permits the fail-safe monitoring of a automobile’s pace, which allows the protecting fields of security laser scanners to be switched dynamically. Safevelo is kinematics-independent and doesn’t require any extra security or incremental encoders to find out an AMR’s route of motion. This protects worthwhile set up house, simplifies the system structure and engineering, and reduces cabling prices.

New options for Simatic Robotic Choose AI imaginative and prescient software program

To allow robotic programs to reliably choose and pack any merchandise, they have to have the ability to work together with their setting and adapt to altering conditions within the course of. Simatic Robotic Choose AI is a pre-trained AI imaginative and prescient software program that permits robots to reliablly grip beforehand unknown articles – additionally known as model-free gripping – in demanding pick-by-robot purposes for a variety of objects. Pre-training of the robotic by the consumer is not obligatory. The pre-trained deep studying algorithm processes a brand new 3D digital camera picture in milliseconds and determines strong 3D poses for collision-free removing of the item, no matter their form and dimension.

Siemens might be showcasing two new options at Logimat. The primary is the beta model of Simatic Robotic Choose Professional. The answer helps the oriented gripping of any object with assistance from multi-suction grippers, which signifies that massive, heavy, and complicated objects will be dealt with in purposes like bin selecting, depalletizing, and sorter induction. The second is the Simatic Robotic Pack AI functionality, which determines appropriate placement poses for any unknown objects on the robotic arm. This ensures that the quantity in a goal container like a transport field is optimally utilized.


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