Results 241 to 250 of about 251,973 (294)

Multi-UAVs Coverage Path Planning

2020
In this literature review, we attempt to summarize and analyze some recent works on Coverage Path Planning (CPP) strategies. We are interested by those that consider UAV fleets. Covering a region of interest is like sweeping a space in either 2D or 3D, and visiting specific points just once each, to cover as much space as possible with obstacle ...
Abdelwahhab Bouras, Yasser Bouzid, Mohamed Guiatni   +2 more
openaire   +1 more source

Coverage Path Planning in Belief Space

2019 International Conference on Robotics and Automation (ICRA), 2019
For safety reasons, robotic lawn mowers and similar devices are required to stay within a predefined working area. Keeping the robot within its workspace is typically achieved by special safeguards such as a wire installed in the ground. In the case of robotic lawn mowers, this causes a certain customer reluctance. It is more desirable to fulfill those
Robert Schirmer, Peter Biber, Cyrill Stachniss   +2 more
openaire   +1 more source

A Comprehensive Survey on Coverage Path Planning for Mobile Robots in Dynamic Environments

IEEE Access
Coverage Path Planning (CPP) is a fundamental aspect of mobile robotics, enabling robots to navigate dynamic environments efficiently while ensuring thorough coverage of all areas of interest and avoiding obstacles. CPP is pivotal in diverse applications,
K. P. Jayalakshmi, Vishnu G. Nair, Dayakshini Sathish   +2 more
semanticscholar   +1 more source

Coverage path planning for multi-AUV considering ocean currents and sonar performance

Frontiers in Marine Science
Coverage path planning (CPP) for target search by autonomous unmanned vehicle (AUV) involves two crucial aspects: (1) the sonar performance of the AUV is sensitive to ocean environment, such as changes in terrain; and (2) the ocean currents significantly
Xukai Mu, Wei Gao
semanticscholar   +1 more source

Visual Coverage Path Planning for Urban Environments

IEEE Robotics and Automation Letters, 2020
View planning for visual coverage is a fundamental robotics problem. Coverage for small objects (e.g. for inspection) or small scale indoor scenes have been studied extensively. However, view planning to cover a large scale urban environment remains challenging.
Cheng Peng, Volkan Isler
openaire   +1 more source

Efficient Coverage Path Planning and Underwater Topographic Mapping of an USV Based on A*-Improved Bio-Inspired Neural Network

IEEE Transactions on Intelligent Vehicles
Designing an efficient Complete Coverage Path Planning (CCPP) method is crucial for rapid exploration and underwater terrain mapping in a specified area by Unmanned Surface Vehicles (USVs). To address the issues of lengthy search paths and high duplicate
Nailong Wu, Ronghua Wang, Jie Qi, Yueying Wang, Guanghui Wen   +4 more
semanticscholar   +1 more source

Deep Reinforcement Learning for Zero-Shot Coverage Path Planning With Mobile Robots

IEEE/CAA Journal of Automatica Sinica
The ability of mobile robots to plan and execute a path is foundational to various path-planning challenges, particularly Coverage Path Planning. While this task has been typically tackled with classical algorithms, these often struggle with flexibility ...
J. P. Carvalho, A. Aguiar
semanticscholar   +1 more source

Reinforcement Learning-Based Energy-Aware Coverage Path Planning for Precision Agriculture

Research in Adaptive and Convergent Systems
Coverage Path Planning (CPP) is a fundamental capability for agricultural robots; however, existing solutions often overlook energy constraints, resulting in incomplete operations in large-scale or resource-limited environments.
Jun Huang, Beining Wu, Zihao Ding, Leo Ostigaard   +3 more
semanticscholar   +1 more source

Optimization of Coverage Path Planning for Agricultural Drones in Weed-Infested Fields Using Semantic Segmentation

Agriculture
The application of drones has contributed to automated herbicide spraying in the context of precision agriculture. Although drone technology is mature, the widespread application of agricultural drones and their numerous advantages still demand ...
F. A. Lara-Molina
semanticscholar   +1 more source

A Spiral Coverage Path Planning Algorithm for Nonomnidirectional Robots

J. Field Robotics
The limited steering capabilities of nonomnidirectional robots introduce significant complexity into complete coverage tasks, often leading to increased path overlap or incomplete coverage of certain areas.
Taogang Hou, Jiaxin Li, Xuan Pei, Hao Wang, Tianhui Liu   +4 more
semanticscholar   +1 more source