This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning by X. Zhang, K. Zhang, Z. Li, and X. Yin. The objective of this ...

Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO ...

This study introduces a novel distributed model predicted control (DMPC) method for cooperative control of a CAV platoon subject to Markov communication packet loss. Firstly, the vehicle platoon ...

In the context of environmental protection and energy transition today, the research and development of new energy vehicles has become a global focus. As one of the core basic theories of performance ...

AI integration with Rockwell's Design Studio develops patterns, writes ladder logic & inputs parameters around processes like ...

Ford’s best-selling vehicle in Europe just got a major upgrade with an all-electric powertrain, a sporty new design, and ...

According to research by data platform provider Cloudera, 88% of IT leaders have added artificial intelligence to their ...

Real 'autonomous' vehicles rely on a diverse array of sensors capable of 'superhuman' object detection. It’s not perfect.

Industry 4.0 requires professionals to upskill and adapt to the changing demands of automation and digital transformation.

In turbulent SaaS and B2B markets, causal AI enables marketers to defend their investments and optimize GTM strategies.

The Ford Puma Gen-E makes its debut as the subcompact that completes the brand's lineup this year. Discover all the details ...