Virtual Testing and Simulation to Automate Offroad Heavy Machinery Using MATLAB

Recent technological advances have facilitated the autonomy of heavy machinery, yet achieving autonomy for offroad heavy machinery remains complex due to rugged terrain and intricate tasks. Team collaboration, spanning from perception to motion planning, is vital. Virtual testing and simulation help mitigate the high costs and risks associated with physical testing, refining algorithms, and enhancing performance. 

This talk delves deeply into offroad autonomy, from construction sites to open-pit mines. It highlights integrated simulation workflows that employ MATLAB^® and Simulink^®, emphasizing risk reduction and innovation in design, testing and deployment. Hear insights into how advancements can transform projects, leading to more efficient and effective solutions in autonomous offroad heavy machinery. You will learn how to:

• Create high-fidelity dynamic modeling and simulation
• Develop and validate autonomous algorithms for offroad heavy machinery
• Test offroad heavy machinery in photorealistic scenario simulations
• Deploy and certify functional safety designs