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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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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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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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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Visual–Inertial Autonomous UAV Navigation in Complex Illumination and Highly Cluttered Under-Canopy Environments by Leyang Zhao, Weixi Wang, Qizhi He, Li Yan, Xiaoming Li

“…Furthermore, proposes a boundary sampling autonomous exploration algorithm and an advanced Rapidly exploring Random Tree (RRT) path planning algorithm. The objective is to enhance the reliability and safety of UAV operations beneath the forest canopy, thereby establishing a technical foundation for surveying vertically stratified natural resources.…”
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Five-Axis Tool Path Generation of Injection Mold Represented by T-Spline Surface by Ce Shang, Hongyao Shen, Jianzhong Fu, Yangfan Sun, Shuhua Yue, Jianfeng Zhang

“…And, its patch layout information can be utilized for tool path planning. We propose an algorithm to determine the patch processing order and generate nonretraction tool path for T-spline surface models. …”
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Research on Collision Avoidance Methods for Unmanned Surface Vehicles Based on Boundary Potential Field by Yongzheng Li, Panpan Hou, Chen Cheng, Biwei Wang

“…Artificial potential field (APF) methods, with their strong adaptability and simplicity of implementation, are widely used in USV path planning tasks. However, the naive APF method struggles in static complex environments, due to the local minima problem. …”
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A Brain-Computer Interface for Teleoperation of a Semiautonomous Mobile Robotic Assistive System Using SLAM by Vidya Nandikolla, Bryan Ghoslin, Kevin Matsuno, Daniel A. Medina Portilla

“…The mobile base’s SLAM algorithm has obstacle avoidance capability and path planning to assist the robot maneuver safely. The robot arm calculates and deploys the necessary joint movement to pick up or drop off a desired object selected by the user via a brainwave controlled cursor on a camera feed. …”
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Global and Local Awareness: Combine Reinforcement Learning and Model-Based Control for Collision Avoidance by Luman Zhao, Guoyuan Li, Houxiang Zhang

“…The proposed approach combines global path planning based on deep reinforcement learning (DRL) and local motion control to improve computational efficiency and alleviate the sensitivity to heading angle changes. …”
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Modelling and Simulation of Distributed UAV Swarm Cooperative Planning and Perception by Haifeng Ling, Hongchuan Luo, Haisong Chen, Linyuan Bai, Tao Zhu, Yanjun Wang

“…To address the mentioned issues, this paper models the problem and proposes a simulation platform for distributed swarm cooperative perception, which addresses software engineering concerns and provides a set of extendable functionalities of a cooperative swarm, including communication, estimation, perception fusion, and path planning. The applicability of the proposed platform is verified by simulations with the real-world application. …”
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Data Fusion Applied to the Leader-Based Bat Algorithm to Improve the Localization of Mobile Robots by Wolmar Araujo-Neto, Leonardo Rocha Olivi, Daniel Khede Dourado Villa, Mário Sarcinelli-Filho

“…The increasing demand for autonomous mobile robots in complex environments calls for efficient path-planning algorithms. Bio-inspired algorithms effectively address intricate optimization challenges, but their computational cost increases with the number of particles, which is great when implementing algorithms of high accuracy. …”
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The Prediction Method and Application of Off-Road Mobility for Ground Vehicles: A Review by Chen Hua, Wencheng Zhang, Hanghao Fu, Yuhao Zhang, Biao Yu, Chunmao Jiang, Yuliang Wei, Ziyu Chen, Xinkai Kuang

“…Finally, we address several existing challenges in current mobility prediction methods and propose exploratory research directions focusing on key technologies and applications, such as real-time mobility prediction, terrain perception, path planning on deformable terrain, and autonomous mobility prediction for unmanned systems. …”
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Mobile robot navigation path algorithm in 3d industrial internet of thing (iot) environment based on 5g mobile communication by Pei Ping, Yu. N. Petrenko

“…In this paper, the research focus on 3-D mobile robot tracking in 5G wireless communication combine to sensor network and mobile robot path planning. The mobile robot can move fast in the three-dimensional (3-D) indoor industrial environment for many tasks such as the monitoring of possible damages on industrial plants [3], data gathering and transmission from wireless communication [4], transportation [5].…”
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