Optimal Coverage Path Planning for Agricultural Vehicles with Curvature Constraints
Agriculture, 2023 Complete coverage path planning (CCPP) is vital in mobile robot applications. Optimizing CCPP is particularly significant in precision agriculture, where it enhances resource utilization, reduces soil compaction, and boosts crop yields.
Maria Höffmann +2 more
doaj +1 more source
Research on an Intelligent Agricultural Machinery Unmanned Driving System
Agriculture, 2023 Intelligent agricultural machinery refers to machinery that can independently complete tasks in the field, which has great significance for the transformation of agricultural modernization.
Haoling Ren +4 more
doaj +1 more source
Complete Coverage Path Planning of Underwater Wall-climbing Cleaning Robot
Journal of Physics: Conference Series, 2022 Abstract Aiming at the special working environment of the underwater wall-climbing cleaning robot and the low efficiency and poor universality of the complete coverage path planning algorithm in this environment, a complete coverage path planning algorithm based on enclosing window is proposed.
Peng Wang, Qian Li, Lei Zhang, Yulong Xu
openaire +1 more source
A Game-theoretic Formulation of the Homogeneous Self-Reconfiguration Problem [PDF]
, 2015 In this paper we formulate the homogeneous two- and three-dimensional self-reconfiguration problem over discrete grids as a constrained potential game. We develop a game-theoretic learning algorithm based on the Metropolis-Hastings algorithm that solves ...
Egerstedt, Magnus B. +3 more
core +2 more sources
An efficient genetic algorithm for large-scale transmit power control of dense and robust wireless networks in harsh industrial environments [PDF]
, 2018 The industrial wireless local area network (IWLAN) is increasingly dense, due to not only the penetration of wireless applications to shop floors and warehouses, but also the rising need of redundancy for robust wireless coverage.
De Pessemier, Toon +5 more
core +1 more source
Autonomous 3D Exploration of Large Structures Using an UAV Equipped with a 2D LIDAR [PDF]
, 2019 This paper addressed the challenge of exploring large, unknown, and unstructured industrial environments with an unmanned aerial vehicle (UAV). The resulting system combined well-known components and techniques with a new manoeuvre to use a low-cost 2D
Faria, Margarida +4 more
core +1 more source
Matheuristics for Multi-UAV Routing and Recharge Station Location for Complete Area Coverage
Sensors, 2021 This paper presents matheuristics for routing a heterogeneous group of capacitated unmanned air vehicles (UAVs) for complete coverage of ground areas, considering simultaneous minimization of the coverage time and locating the minimal number of refueling
Rafael Santin +3 more
doaj +1 more source
Experience-Based Planning with Sparse Roadmap Spanners [PDF]
, 2014 We present an experienced-based planning framework called Thunder that learns to reduce computation time required to solve high-dimensional planning problems in varying environments.
Coleman, David +4 more
core +1 more source
Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and Opportunities
IEEE Access, 2023 Chaotic path planners are a subset of path planning algorithms that use chaotic dynamical systems to generate trajectories throughout an environment. These path planners are imperative in surveillance tasks in the presence of adversarial agents which ...
Farida Ahuraka +4 more
doaj +1 more source
Coverage and mobile sensor placement for vehicles on predetermined routes: a greedy heuristic approach [PDF]
, 2017 Road potholes are not only nuisance but can also damage vehicles and pose serious safety risks for drivers. Recently, a number of approaches have been developed for automatic pothole detection using equipment such as accelerometers, image sensors or ...
Ali, Junade, Dyo, Vladimir
core +3 more sources