The group created a physical AI-based vehicle state estimation system designed to track how electric vehicles behave in real ...

Dynamic modelling and control of robotic systems constitute a vital area of research, where the formulation of precise mathematical models of robot dynamics underpins the design of effective control ...

We anticipate that students possess a grasp of fundamental mathematical concepts equivalent to those covered in the first year of studies for STEM majors at a US college. Additionally, a familiarity ...

This course covers differential equation derivation to model systems, solving these equations through Laplace transforms to determine transfer functions for simple mechanical, electrical, and ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

ISA-95, also known as ANSI/ISA-95 or IEC 62264, is an international set of standards aimed at integrating logistics systems with manufacturing control systems. It organizes technology and business ...

As organizations scale from co-pilots to fully autonomous digital colleagues, the challenge is building smarter operating systems for intelligence itself.

Equipment operators can create and modify simple 3D site models directly from Liebherr cabins using the company’s new Free Modeling assistance system. By integrating a GNSS machine control system with ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

Reinforcement learning algorithm enables hydraulic power without power switching complications, enabling improved energy ...