Results 91 to 100 of about 251,973 (294)
Complete Coverage Path Planning Based on Improved Genetic Algorithm for Unmanned Surface Vehicle
Complete Coverage Path Planning (CCPP) is a key technology for Unmanned Surface Vehicles (USVs) that require complete coverage on the water surface, such as water sample collection, garbage collection, water field patrol, etc.
G. Wu, Mian Wang, Liepan Guo
semanticscholar +1 more source
Nucleation‐Controlled Reconstruction of CuOx for Selective CO2 Electroreduction
The ratio of oxygen vacancies (Ov) and exposed Cu2O (111)/(200) of CuOx precatalyst is modulated by nucleation control of Cu(OH)2 precursor. Low Ov ratio and high ratio of Cu2O (111)/(200) in slow‐nucleated CuOx reconstructs to high‐coordinated oxide‐derived copper (OD‐Cu) during electrochemical CO2 reduction reaction (CO2RR) and exhibits enhanced ...
Ying Ying Ch'ng +14 more
wiley +1 more source
Multiple fixed-wing UAVs collaborative coverage 3D path planning method for complex areas
Complex multi-area collaborative coverage path planning in dynamic environments poses a significant challenge for multi-fixed-wing UAVs (multi-UAV). This study establishes a comprehensive framework that incorporates UAV capabilities, terrain, complex ...
Mengyang Wang +3 more
doaj +1 more source
In order to optimize the operating path of orchard mowers and improve their efficiency, we propose an MI-DBO (multi-strategy improved dung beetle optimization algorithm) to solve the problem of full-coverage path planning for mowers in standardized ...
Lixing Liu +5 more
semanticscholar +1 more source
Electro‐Chemo‐Mechanical Coupling in Hf0.5Zr0.5O2 Ferroionic Heterostructures
Schematic of a ferroionic HZO heterostructure where epitaxial interfaces enable dynamic oxygen‐vacancy exchange, coupling ionic and ferroelectric degrees of freedom. Vacancy‐mediated polarization modulation biases HZO polymorphism, suppresses leakage, and enhances piezoelectric response, yielding distinct butterfly‐loop evolution and diode‐like ...
Achilles Bergne +17 more
wiley +1 more source
LIRL: Latent Imagination-Based Reinforcement Learning for Efficient Coverage Path Planning
Coverage Path Planning (CPP) in unknown environments presents unique challenges that often require the system to maintain a symmetry between exploration and exploitation in order to efficiently cover unknown areas.
Zhe Wei, Tiejiang Sun, Mengjie Zhou
semanticscholar +1 more source
Dispensing Volumetric Additive Manufacturing
Dispensing volumetric additive manufacturing (DVAM) prints 3D structures inside a photocurable resin droplet suspended from the tip of a glass pipette, enabling sequential printing without resin vats or manual part removal. Real‐time droplet profiling and ray‐tracing‐based correction compensate for optical distortion at the curved resin‐air interface ...
Hongryung Jeon +5 more
wiley +1 more source
Optimal Control for Constrained Coverage Path Planning
Report for AAE 568 (Applied Optimal Control) at ...
Manerikar, Ankit +2 more
openaire +2 more sources
Molten KNO2 treatment induces a lowrefractive index disordered carbon shell on fluorescent nanodiamonds, enhancing fluorescence emission while preserving spin coherence. Machine learningassisted correlative TEMPL enables direct single‐particle resolution of this enhancement relative to air‐oxidized nanodiamonds of similar morphology, establishing a ...
Parkarsh Kumar +10 more
wiley +1 more source
Optimal Multirobot Coverage Path Planning: Ideal-Shaped Spanning Tree
The present paper attempts to find the optimal coverage path for multiple robots in a given area including obstacles. For single robot coverage path planning (CPP) problem, an improved ant colony optimization (ACO) algorithm is proposed to construct the best spanning tree and then obtain the optimal path, which contributes to minimizing the energy/time
Chunqing Gao +5 more
openaire +1 more source

