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Free whitepaper: Sensor fusion in Robotics
Robots in an analog world
Sensor Fusion with decentralized processing
Modern robotics requires more than computer vision and AI. To reliably perceive their surroundings, respond safely and monitor their own condition, robots need to process and intelligently combine a wide range of analog sensor data.
In this whitepaper, discover how sensor fusion and decentralized data processing can help efficiently evaluate information from temperature, pressure, current, voltage, vibration, position and other physical parameters – and which embedded technologies play a key role.
What the whitepaper shows you:
- Sensor fusion in robotics: How data from different sensors can be combined
- Decentralized processing: Why local preprocessing can reduce computing load and data traffic
- Analog-to-digital conversion: Differences between and application areas for SAR and delta-sigma converters
- Real-time and edge intelligence: How central, edge and embedded intelligence work together
- Practical examples using TQ hardware: From the TQMa94xxLA to the MBa93xxLA with Analog Front End
Only one step left to the free whitepaper
Our USPs
- Unbeatable long-term availability
- Robustness for all applications
- The most comprehensive range of modules on the market
- A comprehensive design and support of an E²MS manufacturer
- Full design freedom, as all processor functions are fully accessible
