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Integration der Mechanik-, Software- und Elektroniksystementwicklung für den Einsatz in Fahrzeugsystemen
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Construction, mining, and agricultural heavy equipment manufacturers striving for superior performance
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Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.
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Explore IndustrySeminar Series for Industrial Machinery: The Performance Engineering Process
Seminar Series for Industrial Machinery: The Performance Engineering Process
Join this session to learn more about performance engineering for robotics!
Automated guided vehicles and Autonomous mobile robots promise flexibility, productivity, maneuverability, and safety while minimizing operational costs in the industry, warehouse, fulfillment centers, and civil/domestic applications.
However, developing an AGV that can be customized to meet the needs of various environments and driving spaces is complex and expensive. AGV/AMR original equipment manufacturers (OEMs) face several engineering challenges due to the intricate nature of the autonomous systems, the tight integration between physical hardware and control algorithms. Tight integration of automation, energy management, environment, sensor, and operation expertise during design is necessary to realize highly flexible and scalable AGV/AMRs.
Modern mobile robots including Automatic Guided Vehicle and Autonomous Mobile Robots are electrified vehicles that operate on battery. Efficient management of fleet autonomy and vehicle charging strategy is important to maintain a steady throughput.
Increasing AGV/AMR speed has a direct impact on vehicle stability and operational control. Using system simulation software, engineers can evaluate multiple scenarios (changing the shape of the trajectory, velocity, etc.) before committing to a prototype.
The virtual commissioning of an AGV/AMR digital mockup helps to develop control strategy in a risk-free environment. The digital model, when coupled with inputs from a real sensor, can be used for AGV monitoring to perform predictive maintenance tasks.
Francesca Furno
Business Development Simcenter, Siemens Digital Industries Software
Francesca is a mechanical engineer with a focus on hydraulics components and systems simulation. She earned her Masters in Mechanical Engineering and her PhD in Engergetic Systems from the Politecnico di Torino in Italy. She joined Siemens in 2016 where she helps customers in the automotive, heavy equipment, industrial machinery, and aerospace industries with simulation solutions.
Giulio Camauli
Simcenter Industry Lead, Industrial Machinery, Siemens Digital Industries Software
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Join this session to learn more about performance engineering for robotics!
Automated guided vehicles and Autonomous mobile robots promise flexibility, productivity, maneuverability, and safety while minimizing operational costs in the industry, warehouse, fulfillment centers, and civil/domestic applications.
However, developing an AGV that can be customized to meet the needs of various environments and driving spaces is complex and expensive. AGV/AMR original equipment manufacturers (OEMs) face several engineering challenges due to the intricate nature of the autonomous systems, the tight integration between physical hardware and control algorithms. Tight integration of automation, energy management, environment, sensor, and operation expertise during design is necessary to realize highly flexible and scalable AGV/AMRs.
Modern mobile robots including Automatic Guided Vehicle and Autonomous Mobile Robots are electrified vehicles that operate on battery. Efficient management of fleet autonomy and vehicle charging strategy is important to maintain a steady throughput.
Increasing AGV/AMR speed has a direct impact on vehicle stability and operational control. Using system simulation software, engineers can evaluate multiple scenarios (changing the shape of the trajectory, velocity, etc.) before committing to a prototype.
The virtual commissioning of an AGV/AMR digital mockup helps to develop control strategy in a risk-free environment. The digital model, when coupled with inputs from a real sensor, can be used for AGV monitoring to perform predictive maintenance tasks.
Francesca Furno
Business Development Simcenter, Siemens Digital Industries Software
Francesca is a mechanical engineer with a focus on hydraulics components and systems simulation. She earned her Masters in Mechanical Engineering and her PhD in Engergetic Systems from the Politecnico di Torino in Italy. She joined Siemens in 2016 where she helps customers in the automotive, heavy equipment, industrial machinery, and aerospace industries with simulation solutions.
Giulio Camauli
Simcenter Industry Lead, Industrial Machinery, Siemens Digital Industries Software
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