Cooperative Localization of Multi-UAVs via Dynamic Nonparametric Belief Propagation under GPS Signal Loss Condition by Jiuqing Wan, Liping Zhong, Fan Zhang

“…Self-localization is critical for many unmanned aerial vehicles (UAVs) tasks such as formation flight, path planning, and activity coordination. Traditionally, UAV can locate itself using GPS combined with some inertial sensors. …”
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A New Robust Method for Mobile Robot Multifloor Navigation in Distributed Life Science Laboratories by Ali A. Abdulla, Hui Liu, Norbert Stoll, Kerstin Thurow

“…This method proposes a solution for many technical issues including (a) mapping and localization with ceiling landmarks and a StarGazer module for achieving an accurate and low cost multifloor navigation system, (b) a new method for path planning to navigate across multiple floor environments called backbone method and embedded transportation management system, (c) elevator environment handler with the necessary procedures to interact with the elevator presenting a new approach for elevator entry button and internal buttons detection, and (d) communication system to get an expandable network; this method utilizes a TCP/IP network for the communication. …”
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A Method for Space Safety Wall Analysis and Regression Trajectory Planning of Cable-driven Parallel Rehabilitation Robot by Xiang Li, Weida Li, Juan Li, Hongmiao Zhang, Hong Gu

“…In order to avoid secondary injuries to patients after losing their balance， a space trajectory safety wall is further proposed based on the force-controlled working space， which classified the possible shapes to be protected for patients and studied the space trajectory path planning method for their return to the safety wall. …”
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Research of Tooth Profile Error Evaluation Method based on Cartesian Coordinate Measurement Method by Zhang Bai, Lin Jiachun

“…The whole process of tooth profile error measurement is introduced,which includes the establishment of gear workpiece coordinate system,tooth profile measurement path planning,and tooth profile error evaluation. The tooth profile error evaluation methods are detailed analyzed and compared,including geometric tooth profile error evaluation method,formula tooth profile error evaluation method and sliding tooth profile error evaluation method,then their algorithm accuracies and efficiencies are compared. …”
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Same Fuzzy Logic Controller for Two-Wheeled Mobile Robot Navigation in Strange Environments by Awatef Aouf, Lotfi Boussaid, Anis Sakly

“…The efficiency of employing the proposed navigational controller is validated when compared to the results from other intelligent approaches; its qualities make of it an efficient alternative method for solving the path planning problem of the mobile robot.…”
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Cooperative Search Optimization of an Unknown Dynamic Target Based on the Modified TPM by Kaixin Cheng, Di Wu, Tao Hu, Jinjin Wei, Zhifu Tian

“…Aiming to address the problem of unknown dynamic target trajectory prediction and search path optimization in unmanned aerial vehicle (UAV) swarm path planning, this paper proposes a target search algorithm based on a modified target probability map (TPM). …”
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The Optimization Model of E-Commerce Logistics Distribution Path Based on GIS Technology by Jianhong Jiao, Yong Liu, Cuijie Xie

“…Secondly, the basic ant colony algorithm is improved, and a dynamic path planning method combining global planning information and local planning is proposed. …”
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Visualization Analysis of Construction Robots Based on Knowledge Graph by Runrun Dong, Cuixia Chen, Zihan Wang

“…Research hotspots in both the Chinese and English literature are largely aligned, focusing on intelligent construction, human-robot collaboration, and path planning. Notably, the Chinese literature emphasizes technical aspects, whereas the English literature is more application-oriented. …”
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E-Commerce Logistics Path Optimization Based on a Hybrid Genetic Algorithm by Dong Yang, Peijian Wu

“…The problem follows from the path planning for emergency material delivery. Given locations, roads, and multiple classes of supplies in a map, each road allows vehicles to deliver each class of supplies with a certain probability. …”
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Avoiding Dense Pedestrian Regions: A New Rapidly-Exploring Random Tree (RRT ∗) Algorithm for Shortest Travel Time by H. S. Zhen, W. A. Kang, X. Y. Liu, Z. L. Wei

“…Thus, the improved RRT ∗ algorithm possesses the ability to adapt to more complex areas for path planning.…”
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Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

“…Additionally, agricultural terrains vary from open fields to irregular greenhouses, requiring robots to adjust their localization and path-planning strategies based on environmental conditions. …”
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Improved F-RRT∗ Algorithm for Flight-Path Optimization in Hazardous Weather by Xue Qiu, Yaohui Li, Rui Jin, Zhi Zhao, Jiajun Li, Donglin Lu, Linhui Ma

“…The algorithm can overcome the problems of traditional path planning algorithms, such as strong randomness, poor guidance, slow convergence speed, unsmooth paths, and poor tracing smoothness. …”
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Development of a Remote Handling Robot for the Maintenance of an ITER-Like D-Shaped Vessel by Peihua Chen, Qixin Cao

“…The results of the path planning, workspace simulations, and dynamic simulation indicate that the RHR has good mobility together with satisfying kinematic and dynamic performances and can well accomplish its maintenance tasks in the ITER-like D-shaped vessel.…”
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Application of Optimal Scheduling Model Based on Improved Genetic Algorithm in Electric Power Mobile Operation by Rui Fan, Huiying Jing, Zhixin Jing

“…In the task assignment of the model, the total task completion time is shortened by 3 hours, the task assignment of each team is more uniform, and the path planning of each team is more reasonable. The research utilizes a genetic algorithm to intelligently schedule human resources, automating the scheduling process and achieving the lowest cost for completing the work.…”
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Power Management Strategy by Enhancing the Mission Profile Configuration of Solar-Powered Aircraft by Parvathy Rajendran, Kah Wee Lim, Kuan Theng Ong

“…In conclusion, the proposed mission profile configuration with the optimal power ratio of the trajectory of the path planning effectively prolongs UAV operation.…”
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Simulation Design of a Live Working Manipulator for Patrol Inspection in Power Grid by Tao Xie, Zhengyu Li, Yongyun Zhang, Bin Yuan, Xiao Liu

“…Simulation results demonstrate that the proposed method performs better than traditional DDPG and DQN methods in obstacle avoidance and navigation tasks, with faster convergence, better path planning ability, and lower offset cost, which can provide theoretical and technical references for realizing fully autonomous power grid inspection operations.…”
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Automatic Parking Trajectory Planning Based on Warm Start Nonlinear Dynamic Optimization by Hongbin Ren, Yaqi Niu, Yunong Li, Lin Yang, Hongliang Gao

“…In this paper, we propose an optimal parking path planning method based on numerical solving, which leverages the concept of the distance between convex sets. …”
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Robot Trajectories Comparison: A Statistical Approach by A. Ansuategui, A. Arruti, L. Susperregi, Y. Yurramendi, E. Jauregi, E. Lazkano, B. Sierra

“…The task of planning a collision-free trajectory from a start to a goal position is fundamental for an autonomous mobile robot. Although path planning has been extensively investigated since the beginning of robotics, there is no agreement on how to measure the performance of a motion algorithm. …”
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Partition Learning for Multiagent Planning by Jared Wood, J. Karl Hedrick

“…The first step is target track estimation and the second step is path planning by optimizing directly over target track estimation. …”
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Gradient Enhancement Techniques and Motion Consistency Constraints for Moving Object Segmentation in 3D LiDAR Point Clouds by Fangzhou Tang, Bocheng Zhu, Junren Sun

“…The ability to segment moving objects from three-dimensional (3D) LiDAR scans is critical to advancing autonomous driving technology, facilitating core tasks like localization, collision avoidance, and path planning. In this paper, we introduce a novel deep neural network designed to enhance the performance of 3D LiDAR point cloud moving object segmentation (MOS) through the integration of image gradient information and the principle of motion consistency. …”
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