Optimized Navigation for SLAM Using Marker-Assisted Region Scanning, Path Finding, and Mapping Completion Control by Luigi Maciel Ribeiro, Nadia Nedjah, Paulo Victor Rodrigues de Carvalho

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Study on Multiobjective Path Optimization of Plant Protection Robots Based on Improved ACO‐DWA Algorithm by Jing Niu, Chuanyan Shen, Lipeng Zhang, Guanghao Gao, Jiahao Zheng

“…Then, using the improved ACO‐DWA algorithm, the robot access cost was integrated into the objective function of the search node, and the path planning was carried out online based on the environment grid map. …”
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A hybrid path planning algorithm combining A* and improved ant colony optimization with dynamic window approach for enhancing energy efficiency in warehouse environments by Mingyu Wu, Eileen Lee Ming Su, Che Fai Yeong, Bowen Dong, William Holderbaum, Chenguang Yang

“…This research presents a novel hybrid path planning algorithm combining A*, ant colony optimization (ACO), and the dynamic window approach (DWA) to enhance energy efficiency in warehouse environments. …”
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Integration of Regression-Based Guidance Ant for Enhanced Exploration and Convergence in Ant Colony Optimization (ACO) by Desi W. Sari, Suci Dwijayanti, Bhakti Y. Suprapto

“…Traditional Ant Colony Optimization (T-ACO) algorithms often face challenges in dynamic environments, particularly the tendency to become trapped in local minima, resulting in suboptimal path planning. To address these limitations, this research incorporates a linear regression line as a directional guide for ants, helping them navigate toward the optimal path more efficiently. …”
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Development of a Collision-Free Path Planning Method for a 6-DoF Orchard Harvesting Manipulator Using RGB-D Camera and Bi-RRT Algorithm by Zifu Liu, Rizky Mulya Sampurno, R. M. Rasika D. Abeyrathna, Victor Massaki Nakaguchi, Tofael Ahamed

“…With the decreasing and aging agricultural workforce, fruit harvesting robots equipped with higher degrees of freedom (DoF) manipulators are seen as a promising solution for performing harvesting operations in unstructured and complex orchard environments. In such a complex environment, guiding the end-effector from its starting position to the target fruit while avoiding obstacles poses a significant challenge for path planning in automatic harvesting. …”
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Coordinated Multimodal Transportation Infrastructure Planning in Megacities: An Agent-AI-Discrete Network Design Problem Approach Based on Chat-GPT by Jin Guo, Chenyang Wang, Linxiu Wang

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Design of Chili Field Navigation System Based on Multi-Sensor and Optimized TEB Algorithm by Weikang Han, Qihang Gu, Huaning Gu, Rui Xia, Yuan Gao, Zhenbao Zhou, Kangya Luo, Xipeng Fang, Yali Zhang

“…The results show that the navigation system reduced the average path length by 0.58 m, shortened the average time consumption by 2.55 s, and decreased the average target position offset by 4.3 cm. …”
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Integrated Navigation Method for Orchard-Dosing Robot Based on LiDAR/IMU/GNSS by Wang Wang, Jifeng Qin, Dezhao Huang, Furui Zhang, Zhijie Liu, Zheng Wang, Fuzeng Yang

“…Field tests showed that the global localization model achieved an accuracy of 2.215 cm, with a standard deviation of 1 cm, demonstrating stable positioning performance. Moreover, the global path maintained an average safe distance of 50.75 cm from the obstacle map. …”
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Research on the A* Algorithm for Automatic Guided Vehicles in Large-Scale Maps by Yuandong Chen, Jinhao Pang, Yuchen Gou, Zhiming Lin, Shaofeng Zheng, Dewang Chen

“…In this study, we aimed to improve the search efficiency and path planning quality of the A* algorithm in complex and large-scale environments through a series of optimisation measures, including the innovation of weight design, flexible adjustment of the search neighbourhood, improvement of the heuristic function, and optimisation of the node selection strategy. …”
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FAEM: Fast Autonomous Exploration for UAV in Large-Scale Unknown Environments Using LiDAR-Based Mapping by Xu Zhang, Jiqiang Wang, Shuwen Wang, Mengfei Wang, Tao Wang, Zhuowen Feng, Shibo Zhu, Enhui Zheng

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Research Status and Development Trends of Deep Reinforcement Learning in the Intelligent Transformation of Agricultural Machinery by Jiamuyang Zhao, Shuxiang Fan, Baohua Zhang, Aichen Wang, Liyuan Zhang, Qingzhen Zhu

“…For example, in UAV path optimization, DRL can help UAVs plan more efficient flight paths to cover more areas in less time. …”
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Fuzzy Logic Unmanned Air Vehicle Motion Planning by Chelsea Sabo, Kelly Cohen

“…The FLC showed only a total of 3% failure rate, whereas an artificial potential field (APF) solution, a commonly used intelligent control method, had an average of 18% failure rate. These results highlighted one of the advantages of the FLC method: its adaptability to complex scenarios while maintaining low control effort.…”
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ZPTM: Zigzag Path Tracking Method for Agricultural Vehicles Using Point Cloud Representation by Shuang Yang, Engen Zhang, Yufei Liu, Juan Du, Xiang Yin

“…In this research, the ZPTM (Zigzag Path Tracking Method) was proposed to reduce the complexity of path planning by using a point cloud consisting of a series of anchor points with spatial information, which are obtained from orthophotos taken by UAVs (Unmanned Aerial Vehicles) to represent the curved path in the zigzag. …”
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Nonlinear Path Optimization Algorithm for Mining Trucks Based on Two-Layer Trust Region Strategy by PENG Fan, HU Yunqing, LIU Yong, DENG Mukun, LUO Yu, LIU Xibing

“…This paper proposes a nonlinear path optimization algorithm for mining trucks based on double-layer trust region strategy, aiming at addressing path planning in the complex environment of mining areas. …”
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Smart village construction and college students’ skills entrepreneurship path based on LSTM and simulated annealing algorithm by Xueli Dong

“…Under this path, the initial return on investment of entrepreneurial projects can reach 35%, which is significantly higher than the industry average, providing clear guidance for young entrepreneurs. …”
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A Kinodynamic Model for Dubins-Based Trajectory Planning in Precision Oyster Harvesting by Weiyu Chen, Chiao-Yi Wang, Kaustubh Joshi, Alan Williams, Anjana Hevaganinge, Xiaomin Lin, Sandip Sharan Senthil Kumar, Allen Pattillo, Miao Yu, Nikhil Chopra, Matthew W. Gray, Yang Tao

“…Field trials in the Chesapeake Bay demonstrate consistent trajectory following performance across varied path complexities, with average offsets of 0.01 m, 1.35 m, and 0.42 m. …”
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Building OptiPath: A Cloud-Based system for Optimal Route Calculation using ArcGIS Enterprise by H. Wang, H. Wang, D. Jain, J. Greenspon, J. Greenspon, J. Blossom

“…This system’s outstanding performance makes it an asset for diverse and complex route planning projects. OptiPath operates on the New England Research Cloud (NERC), running on Esri’s ArcGIS Enterprise software. …”
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Wolverines use spatial memory to plan efficient routes through rugged terrain by Thomas W. Glass, Jeffery P. Copeland, Lucretia E. Olson, John S. Waller, John R. Squires

“…Furthermore, we find that wolverines most commonly plan routes to destinations 5.3–9.8 km ahead. We estimate that route-planning saves wolverines, on average, 19.3 kcal per 135 min of movement. …”
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Optimizing Route Planning via the Weighted Sum Method and Multi-Criteria Decision-Making by Guanquan Zhu, Minyi Ye, Xinqi Yu, Junhao Liu, Mingju Wang, Zihang Luo, Haomin Liang, Yubin Zhong

“…Choosing the optimal path in planning is a complex task due to the numerous options and constraints; this is known as the trip design problem (TTDP). …”
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Adaptive Motion Planning Leveraging Speed-Differentiated Prediction for Mobile Robots in Dynamic Environments by Tengfei Liu, Zihe Wang, Jiazheng Hu, Shuling Zeng, Xiaoxu Liu, Tan Zhang

“…The results show an average planning success rate exceeding 60%, along with notable improvements in path safety and smoothness, validating the contribution of each module within the system.…”
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