Abstract: This paper proposes a distributed cloud model predictive control (DCMPC) approach with delay compensation tailored for heterogeneous vehicle platoons. Leveraging the cloud's extensive ...
Abstract: This paper presents the development of a didactic robotic demonstrator to study the circular formation problem (CFP) of multi-agent systems based on Distributed Model Predictive Control ...
Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, potentially allowing autonomous robots to select and use tools more ...
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