Results 51 to 60 of about 13,947 (245)
Multi‐Soliton Microcombs Enable Ultrafast Nanometric‐Precision Ranging and Photon‐Level Detection
Our work first demonstrates dual‐multi‐soliton ranging and confirms its multifunctional capability. The method achieves ultrafast and nanometric‐precision measurement. For practical applications, we further extend the multi‐soliton states to photon‐level ranging.
Jiawen Zhi +10 more
wiley +1 more source
Inspired by nature's competitive maneuvers, this study introduces a combustion‐driven soft actuator that powers a multi‐modal “Jump‐and‐Fly Catbot” (JFC). With millisecond response, high‐force output (over 70 times its weight) and precise control (error within 5%), the robot can jump, fly, hover, and escape from challenging environments, achieving ...
Hongkuan Ma +4 more
wiley +1 more source
In this paper, we investigate a novel two-echelon ground vehicle and its mounted unmanned aerial vehicle cooperative routing problem (2E-GUCRP) for intelligence, surveillance, and reconnaissance (ISR) missions. In a typical cooperative system with ground
Yao Liu +4 more
doaj +1 more source
Unmanned aerial vehicles (UAVs) play a vital role in the beyond fifth‐generation (B5G) and sixth‐generation (6G) wireless communication scenarios. This paper proposes a non‐stationary three‐dimensional (3D) geometry‐based multiple‐input multiple‐output ...
Naeem Ahmed +6 more
doaj +1 more source
Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe +4 more
wiley +1 more source
Automated Landing of an Unmanned Aerial Vehicleon a Mobile Platform Using Neural Networks
The development of unmanned aerial vehicles is one of the promising directions for civil aviation with a wide range of applications. Neural networks can be trained for real-time decision making, adapting to changing battlefield conditions and ensuring ...
Vladislav A. Suslov, Sergey V. Gagarsky
doaj +1 more source
The article discusses a new mobile automated system for monitoring the presence of fires and thermal energy leaks based on an unmanned aerial vehicle. The designed construction of an unmanned aerial vehicle, its 3D model for printing individual parts and
А.H. , O.M., O.O. , A.A., V.M.
doaj +1 more source
Hydrogen‐powered aviation offers a transformative pathway to zero‐emission flight by eliminating in‐flight CO2 emissions. Key considerations include propulsion systems (fuel cells and hydrogen combustion), cryogenic storage and insulation challenges, infrastructure and cost barriers, and supply‐chain constraints.
Mubasshira +4 more
wiley +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Insulator fault feature extraction system of substation equipment based on machine vision
Abstract The artificial intelligence technology and intelligent automation are more and more widely used, the insulators play a supporting and insulating role in the operation of the grid. The use of machine vision inspection technology to detect insulator faults has become an inevitable trend of the times.
Keruo Jiang +4 more
wiley +1 more source

