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MATLAB | Steps to Simulate Autonomous Earthmoving Algorithms @MATLAB | Uploaded June 2024 | Updated October 2024, 1 week ago.
Using the example of an excavator, this overview shows how to develop autonomous motion planning algorithms and control systems and how to validate these algorithms in 3D scenario simulations using MATLAB® and Simulink®.

The presenter is Dr. Christoph Kammer, a senior application engineer at MathWorks in Switzerland. He supports customers in the robotics and autonomous systems domain in the areas of control and optimization, virtual scenario simulation, and digital twinning. Dr. Kammer has a master’s degree in mechanical engineering from ETH Zürich and a Ph.D. in electrical engineering from EPFL, where he specialized in control design and the control and modeling of electromechanical systems and power systems.

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Steps to Simulate Autonomous Earthmoving Algorithms @MATLAB

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