Biologically Inspired Complete Coverage Path Planning Algorithm Based on Q-Learning [PDF]
Sensors, 2023 Complete coverage path planning requires that the mobile robot traverse all reachable positions in the environmental map. Aiming at the problems of local optimal path and high path coverage ratio in the complete coverage path planning of the traditional ...
Xiangquan Tan +3 more
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Object-level complete coverage path planning for excavators in earthwork construction [PDF]
Scientific Reports, 2023 Autonomous excavators are gradually gaining attention because they can reduce the waste of human resources and improve the efficiency. This study proposed a complete coverage path planning algorithm for autonomous excavators based on the Rotating ...
Ming Yao +5 more
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Collaborative Complete Coverage and Path Planning for Multi-Robot Exploration [PDF]
Sensors, 2021 In mobile robotics research, the exploration of unknown environments has always been an important topic due to its practical uses in consumer and military applications.
Huei-Yung Lin, Yi-Chun Huang
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Evolutionary Algorithm-Based Complete Coverage Path Planning for Tetriamond Tiling Robots [PDF]
Sensors, 2020 Tiling robots with fixed morphology face major challenges in terms of covering the cleaning area and generating the optimal trajectory during navigation.
Anh Vu Le +2 more
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Complete-Coverage Path-Planning Algorithm Based on Transition Probability and Learning Perturbation Operator [PDF]
SensorsTo achieve shorter path length and lower repetition rate for robotic complete coverage path planning, a complete-coverage path-planning algorithm based on transition probability and learning perturbation operator (CCPP-TPLP) is proposed.
Xia Wang +3 more
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Complete Coverage Path Planning of an Unmanned Surface Vehicle Based on a Complete Coverage Neural Network Algorithm [PDF]
Journal of Marine Science and Engineering, 2021 In practical applications, an unmanned surface vehicle (USV) generally employs a task of complete coverage path planning for exploration in a target area of interest.
Peng-Fei Xu, Yan-Xu Ding, Jia-Cheng Luo
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Deep Learning-Based Complete Coverage Path Planning With Re-Joint and Obstacle Fusion Paradigm [PDF]
Frontiers in Robotics and AI, 2022 With the introduction of autonomy into the precision agriculture process, environmental exploration, disaster response, and other fields, one of the global demands is to navigate autonomous vehicles to completely cover entire unknown environments. In the
Tingjun Lei +3 more
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Information, 2022 The advancement of society and technology has promoted the development of modern agriculture. It has become a trend to replace traditional manpower with intelligent agricultural machinery that operates independently. As the core technology of intelligent
Yonglian Han +3 more
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An energy aware Q-learning framework for comprehensive coverage path planning in unknown complex environments [PDF]
Scientific ReportsIn post-disaster search and rescue scenarios, robotic path planning must operate in unpredictable, dynamic environments where conventional coverage path planning (CPP) algorithms often struggle to adapt.
Yao Xue, Chee Keong Tan, Wai Peng Wong
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Reinforcement Learning-Based Complete Area Coverage Path Planning for a Modified hTrihex Robot
Sensors, 2021 One of the essential attributes of a cleaning robot is to achieve complete area coverage. Current commercial indoor cleaning robots have fixed morphology and are restricted to clean only specific areas in a house. The results of maximum area coverage are
Koppaka Ganesh Sai Apuroop +3 more
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