Since 2011, I have designed and built autonomous systems for agriculture and artificial intelligence applications.reinforcementlearningpath.com RomaniaJoined December 2024
📍 Motion Model vs. Measurement Model in Localization 📍
The Motion Model predicts movement using internal sensors but accumulates errors over time. The Measurement Model corrects these errors using external references.
Both are essential for accurate positioning & orientation…
🚀 Want to truly understand SLAM with EKF?
This complete tutorial on Simultaneous Localization and Mapping takes you step by step through implementation—from theory to a working system.
💡 I’ll guide you through manual calculations at every stage, so you don’t just follow the…
Filter-based SLAM (e.g., EKF) is all about balance: predicting the robot's next state using motion models and correcting it with real-time sensor data. A perfect harmony of prediction and observation. 🚀🤖
Read more: simultaneouslocalizationmapping.com#Robotics#SLAM#EKF
🎯Start with the Base for SLAM - Part 3!
Free tutorial to learn how to build a Kalman Filter for a mobile robot.
🔍Discover step by step:
➡️What does the Kalman filter do?
➡️Practical application of Kalman filter.
The complete tutorial: simultaneouslocalizationmapping.com/kalman-filter/#slam#Robotics…
🎯Start with the Base for SLAM - Part 2!
Free tutorial to learn how to build a measurement model for a mobile robot.
🔍Discover step by step:
➡️What is a measurement model?
➡️How to use external measurements to correct predictions?
The complete tutorial: simultaneouslocalizationmapping.com/measurement-mo…
In an orchard, a farming robot navigate between trees, tending to the soil, while a drone hovers above. Innovation meets nature.
#drone#agbot#autonomous#robotics
Innovation in Agriculture
RoboFarmer – an autonomous orchard maintenance robot. It is equipped with a tool designed to cut grass between rows.
#robotics#agbot#autonomousrobot#ros#gpsrtk
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