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   Articles with "path finding" as a keyword



Learning basic concept of computer programming with path-finding task in ar and its properties

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recommendations! Published in 2022 at "Education and Information Technologies"

DOI: 10.1007/s10639-020-10416-9

Abstract: This paper designs and develops a computer programming learning system for total beginners and those who have no programming experience. The traditional computer programming learning systems require prior knowledge about variables, their types, operators for… read more here.

Keywords: program codes; system; task; path finding ... See more keywords

S&Reg v2: a probabilistically complete sampling-based planner to solve multi-goal path finding problem via multi-task learning networks

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recommendations! Published in 2024 at "Advanced Robotics"

DOI: 10.1080/01691864.2024.2407130

Abstract: In this paper, we present a variant of our previous research on multi-goal path finding problem, focusing on finding a feasible and closed path to visit a sequence of goals in an environment with obstacles.… read more here.

Keywords: path finding; finding problem; multi; goal path ... See more keywords

Automatic Dual Crane Cooperative Path Planning Based on Multiple RRT Algorithm for Narrow Path Finding Scenario

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3366900

Abstract: Dual crane lifting, wherein two cranes collaborate to lift a single workpiece, serves as an essential solution in scenarios in which employing a single, sufficiently large crane is impractical due to cost constraints, ground conditions,… read more here.

Keywords: path finding; narrow path; multiple rrt; crane ... See more keywords

A Comprehensive Review on Leveraging Machine Learning for Multi-Agent Path Finding

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3392305

Abstract: This review paper provides an in-depth analysis of the latest advancements in applying Machine Learning (ML) to solve the Multi-Agent Path Finding (MAPF) problem. The MAPF problem is about finding collision-free paths for multiple agents… read more here.

Keywords: path finding; mapf; agent path; multi agent ... See more keywords

Anytime Automatic Algorithm Selection for the Multi-Agent Path Finding Problem

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3395495

Abstract: In this study, we propose and develop a Machine Learning-based metasolver for the Multi-Agent Path Finding (MAPF) problem, with the aim of selecting the most suitable solver based on the specific characteristics of the problem… read more here.

Keywords: path finding; problem; agent path; multi agent ... See more keywords

Auction-Based Incentive Mechanism in Federated Learning Considering Communication Path Finding

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3425948

Abstract: Federated learning is a distributed learning approach which can protect clients’ privacy. The success of federated learning depends on the participation of high quality clients. However, many works neglect how to incentivize high quality clients… read more here.

Keywords: path finding; high quality; quality clients; federated learning ... See more keywords

Lexicographic Dual-Objective Path Finding in Multi-Agent Systems

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recommendations! Published in 2025 at "IEEE Transactions on Automation Science and Engineering"

DOI: 10.1109/tase.2024.3440169

Abstract: Path finding in multi-agent systems aims to identify collision-free and cost-optimized paths for all agents with distinct start and goal positions. It poses challenging optimization problems. Existing research typically treats all agents equally, overlooking their… read more here.

Keywords: path finding; lexicographic dual; agent systems; multi agent ... See more keywords

Multiagent Path Finding Using Deep Reinforcement Learning Coupled With Hot Supervision Contrastive Loss

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recommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"

DOI: 10.1109/tie.2022.3206745

Abstract: Multiagent path finding (MAPF) is employed to find collision-free paths to guide agents traveling from an initial to a target position. The advanced decentralized approach utilizes communication between agents to improve their performance in environments… read more here.

Keywords: reinforcement learning; path finding; contrastive loss; multiagent path ... See more keywords

Acceptance–Rejection Sampling-Guided Discrete RRT for Multiagent Path Finding

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recommendations! Published in 2025 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2025.3609137

Abstract: Discrete rapid-exploring random tree (dRRT) methods have been proposed but remain to be improved, showing great potential for efficiently solving multiagent path finding (MAPF) problems. This article proposes a new dRRT algorithm designed to tackle… read more here.

Keywords: path finding; multiagent path; acceptance rejection; rejection sampling ... See more keywords

Fast Active Aerial Exploration for Traversable Path Finding of Ground Robots in Unknown Environments

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recommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3158425

Abstract: This article proposes an autonomous aerial exploration framework for traversable path finding of ground robots in unknown environments to achieve a fast response in search and rescue (SAR) missions. Different from existing works, our method… read more here.

Keywords: exploration; ground robots; traversable path; aerial exploration ... See more keywords

cuRL: A Generic Framework for Bi-Criteria Optimum Path-Finding Based on Deep Reinforcement Learning

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recommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3219543

Abstract: Traditional path-finding studies basically focus on planning the path with the shortest travel distance or the least travel time over city road networks. In recent years, with the increasing needs of diverse routing services in… read more here.

Keywords: optimum path; cost utility; criteria optimum; path ... See more keywords