We propose an analytic model for the second-order characteristics of the radar return signal from a swarm of rotor drones. We consider the case of a swarm of identical drones, with each a number of ...

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Drifting, characterized by controlled vehicle motion at high sideslip angles, is crucial for safely handling emergency scenarios at the friction limits. While recent reinforcement learning approaches ...

Directly learning the swimming behaviors of real fish can significantly enhance the swimming performance of bionic robotic fish. This paper presents a novel transfer learning method based on a dynamic ...

Legged robots hold great promise for agile and flexible mobility across diverse and unstructured terrains, inspired by the remarkable adaptability of bipeds and quadrupeds in nature. However, ...

The multidiffractions model is commonly used to increase the optical subdivision factor. However, in practical applications, as the diffraction order increases, this model requires the size of the ...

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The piezo-actuated liquid tunable lens exhibits complex characteristics, including electromechanical coupling, fluid dynamics, membrane and plate vibration, and hysteresis nonlinearities, which pose ...

A novel oil sensor designed to address the issue of oil monitoring accuracy influenced by the oil medium and temperature utilizes electrostatic induction coupled with a fringing electric field effect.

The model-based reference and model-based prediction of conventional triple-vector model predictive control (TV-MPC) can be affected by the parametric errors for the LC-type voltage source inverters ...

Active EMI filter (AEF) mitigates common mode (CM) electromagnetic interference (EMI) by injecting a compensation current of the opposite phase with CM noise current. Due to AEF's non-ideality, the ...

Guest Editorial: Introduction to the Special Section on Computational Photography ...