Abstract: We present a learning model predictive controller (LMPC) for autonomous racing. We model the autonomous racing problem as a minimum time iterative control task, where an iteration ...

Abstract: The emergence of homotopic path planning and tracking has shown great promise for cooperative swarm control. However, existing implementations lack efficient mechanisms for ...

That’s according to Jonathan P. How, describing the breakthrough that has pushed insect-scale aerial robots into a new ...

The company is focusing on enabling autonomous asset optimization in manufacturers through data foundations and predictive ...

Why smart purifiers are becoming edge devices powered by sensors, firmware, cloud telemetry, and secure control for safer, ...

In today’s post-agentic AI environment, traditional automation models simply cannot keep pace with the speed, scale and ...

Introduction Sepsis is a life-threatening condition in intensive care units (ICUs), where any delay in diagnosis and treatment can lead to organ dysfunction, prolonged hospital stay and increased ...

Ducati is expanding its off-road lineup with the introduction of the Desmo250 MX. Following the release of the 450 MX, ...

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

The combination of human and artificial intelligence can be a powerful asset when it comes to solving challenging accounting ...

For years, digital twins were viewed as useful but optional. Digital twins are rapidly evolving into essential intelligence ...