An Adaptive Memory Model for Long-Term Navigation of Autonomous Mobile Robots by M. Hentschel, B. Wagner

“…This includes localization and path planning as well as vehicle control. The presented approach is evaluated in a real-world experiment within changing indoor environment. …”
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Multi-robot Collaborative Planning based on Optimized Artificial Bee Colony Algorithm by Zhang Lin, Zhan Weipeng, Zhu Lingfen, Wu Guoxing

“…To improve property of artificial bee colony algorithm in multi-robot path planning,the optimized artificial bee colony algorithm is proposed. …”
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Research and application of SRv6 Policy for financial backbone network by Lijun ZU, Hang YUAN

“…The financial backbone network is an important part of the basic network platform of financial institutions.Under the current background of the country’s promotion of data center cloudification and IPv6,the technical architecture of the financial backbone network must also be optimized and evolved.Based on this research,the application of SRv6 Policy in the financial backbone network was explored.Firstly,the existing problems of traditional solutions based on the current situation of the financial backbone network were analyzed; then the technical advantages and implementation principles of SRv6 Policy were explained.Finally,the application and deployment of SRv6 Policy in the financial backbone network was studied and explored,combined with the management strategy of financial institutions on the business traffic in the backbone network,and optional intelligent tuning solutions were provided for congestion avoidance and path planning scenarios,which further enhanced the stability of the financial backbone network and the ability to guaranteed traffic transmission,and the application feasibility of SRv6 Policy in the financial backbone network was initially verified.…”
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Autonomous Navigation of Robots Based on the Improved Informed-RRT∗ Algorithm and DWA by Jun Dai, Dongfang Li, Junwei Zhao, Yanqin Li

“…First, the greedy algorithm is introduced in the path planning procedure. When a new node is obtained, it will be judged whether it can directly reach the target point. …”
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A load balanced and energy efficient underwater clustering protocol for UWSN by Xinbin LI, Mengling GAO, Lei YAN

“…Focused on the low energy efficiency and short lifetime of underwater wireless sensor network（UWSN）,a load balanced and energy efficient underwater clustering（LBEEUC）protocol for UWSN was proposed.For cluster head settings,due to the consideration of load balanced,the proportion of cluster heads based on experience-load was set.The area with high experience-load could obtain more cluster heads than other areas to process data forwarding.And then,for intra-cluster communication,some relay nodes were set to save energy of long range data transmission between cluster head and nodes.Relay nodes also could be used to eliminate redundant information by advance data fusion.Finally,for inter-cluster routing,Q-learning algorithm was used to implement optimal path planning based on the criterion of least energy consuming.The simulation results demonstrate that the LBEEUC protocol can efficiently improve the energy utilization,prolong the network lifetime and balance the energy consumption of the network.…”
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Kinematics Analysis and Trajectory Planning of UR5 Robot Intersecting Welding Model based on Matlab by Chengchao Yang

“…In order to solve the problem of robot welding path planning for welding work at the ball pipe joints，taking the UR5 welding robot as a reference，the models of ball pipe intersection curve is established and the parameter equation of the curve is derived，the D-H coordinate system is established，the forward and reverse directions are solved respectively，by using the Matlab and Adams joint simulation，the trajectory planned path of end effector and the angular velocity and angular acceleration time change curve of each joint are obtained. …”
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Multi mobile agent itinerary planning based on network coverage and multi-objective discrete social spider optimization algorithm by Zhou-zhou LIU, Shi-ning LI

“…The multi mobile agent collaboration planning model was constructed based on the mobile agent load balancing and total network energy consumption index.In order to prolong the network lifetime,the network node dormancy mechanism based on WSN network coverage was put forward,using fewer worked nodes to meet the requirements of network coverage.According to the multi mobile agent collaborative planning technical features,the multi-objective discrete social spider optimization algorithm (MDSSO) with Pareto optimal solutions was designed.The interpolation learning and exchange variations particle updating strategy was redefined,and the optimal set size was adjusted dynamically,which helps to improve the accuracy of MDSSO.Simulation results show that the proposed algorithm can quickly give the WSN multi mobile agent path planning scheme,and compared with other schemes,the network total energy consumption has reduced by 15%,and the network lifetime has increased by 23%.…”
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Survey on Giant Constellation Cloud Network Integration by Dan ZHANG, Jingjing LI, Tian LIU, Sunjie TAO, Ziping LYU

“…Thanks to the development of aerospace technology and the rise of concepts such as cloud computing and edge computing, cloud network convergence networks based on giant constellations are expected to become an important part of the integrated construction of star-ground and 6G global communication networks.Unlike terrestrial communication networks, constellation network topology is highly dynamic and time-varying, with strong resource and link heterogeneity, and other characteristics that pose challenges for cloud network convergence.The characteristics of giant constellations and the development status of terrestrial cloud network convergence was summarized, the urgent needs and challenges of cloud network convergence in giant constellations were analyzed, and the innovation of satellite internet cloud network convergence architecture, the use of resource virtualization technology, information sensing and routing path planning based on artificial intelligence algorithms, and cloud computing and edge collaborative computing were potential directions for future satellite-based cloud network convergence technology development direction were further pointed out.…”
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UAV swarms: research, challenges, and future directions by Yunes Alqudsi, Murat Makaraci

“…Key areas such as coordinated path planning, task assignment, formation control, and security considerations are examined, highlighting how Artificial Intelligence (AI) and Machine Learning (ML) are integrated to improve decision-making and adaptability. …”
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The Research of Maneuverability Modeling and Environmental Monitoring Based on a Robotic Dolphin by Zhibin Xue, Liangliang Li, Yixiao Song

“…Furthermore, a combined strategy of environment recognition was used for the positional control of the robotic dolphin, incorporating sonar, path planning with an artificial potential field, and trajectory tracking. …”
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A Computational Mechatronics Approach for the Analysis, Synthesis and Design of a Simple Active Biped Robot: Theory and Experiments by L.-I. Lugo-Villeda, V. Parra-Vega

“…The result is an advanced computational tool that integrates advanced modeling and control as well as path planning techniques along with hardware-in-the-loop for perhaps the simplest biped robot. …”
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Deep Learning‐Assisted Label‐Free Parallel Cell Sorting with Digital Microfluidics by Zongliang Guo, Fenggang Li, Hang Li, Menglei Zhao, Haobing Liu, Haopu Wang, Hanqi Hu, Rongxin Fu, Yao Lu, Siyi Hu, Huikai Xie, Hanbin Ma, Shuailong Zhang

“…Using an Active‐Matrix Digital Microfluidics (AM‐DMF) platform, the YOLOv8 object detection model ensures precise droplet classification, and the Safe Interval Path Planning algorithm manages multi‐target, collision‐free droplet path planning. …”
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An autonomous navigation method for orchard mobile robots based on octree 3D point cloud optimization by Hailong Li, Hailong Li, Hailong Li, Kai Huang, Kai Huang, Yuanhao Sun, Yuanhao Sun, Xiaohui Lei, Xiaohui Lei, Quanchun Yuan, Quanchun Yuan, Jinqi Zhang, Xiaolan Lv, Xiaolan Lv

“…This method exhibits tremendous potential for processing large-scale 3D point cloud data and enhancing path planning efficiency, providing a valuable technical reference for the real-time autonomous navigation of mobile robots in complex orchard environments.…”
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Kinematics and Workspace Analysis of 2P3R Robot by Pengpeng Deng, Chunyan Zhang, Zhaolou Gao, Shengwen Zhang, Chuanlin Hu

“…Through the comparison of surface fitting and spatial inclusion，the results show that the designed 2P3R type 5-DOF industrial robot can achieve full coverage of the upper surface of a single blade of a large marine propeller with a diameter of 4~10 m，which lays a foundation for subsequent research on motion control and path planning of large propeller processing robots.…”
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Using Genetic Algorithms for Navigation Planning in Dynamic Environments by Ferhat Uçan, D. Turgay Altılar

“…This is a special case of dynamic path planning. As the main concern of this paper is flight planning, the conditions and objectives that are most probable to be used in navigation problem are considered. …”
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Trajectory Tracking Control of Robot based on Improved Genetic Algorithm by Liu Yiyang, Liu Mingming

“…Through accuracy tracking control the trajectory of the robot,the accuracy of robot path planning and autonomous positioning can be improved. …”
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Terrain Traversability via Sensed Data for Robots Operating Inside Heterogeneous, Highly Unstructured Spaces by Amir Gholami, Alejandro Ramirez-Serrano

“…This paper contributes to the advancement of robotic navigation and path-planning systems by providing a scalable and efficient framework for environment analysis. …”
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Performance optimization for UAV-enabled V2I communications system by Fang GUO, Yu-yan ZHANG, Long ZHAO, Kan ZHENG, Wen-bo WANG

“…In the emergency communication,UAVs (unmanned aerial vehicle) are used more and more widely,and a V2I (vehicle to infrastructure) vehicle communication technology based on UAV was proposed.Because of the communication distance and the shelter of the terrain,the ground vehicle and the base station may not connect directly.At this time,the UAV can be used as communication relay.In the process of communication,in order to meet the fairness of ground vehicle communication,a time interval less than the coherence time was selected based on the coordinates of moving ground vehicles,the transmission rate between vehicles in each time interval are calculated to maximize the minimum transmission rate as the optimization goal.In order to solve this problem,the entire communication process was dispersed.First,UAV flight trajectory to maximize the minimum transmission rate at each time interval within the range of the UAV flight path was calculated to get the whole communication process trajectory.Simulation results show that through the path planning of UAV,the information transmission rate of the vehicle is obviously better than the transmission rate under the fixed position of UAV.…”
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H∞ Formation Control and Obstacle Avoidance for Hybrid Multi-Agent Systems by Dong Xue, Jing Yao, Jun Wang

“…An improved Newtonian potential function and a set of repulsive functions are employed to guarantee the HMAS formation-keeping and collision-avoiding from obstacles in a path planning problem, respectively. Simulation results in this paper show that the proposed formation algorithms can effectively allow the multiagent system to avoid penetration into obstacles while accomplishing prespecified global objective successfully.…”
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Exponential Fields Formulation for WMR Navigation by Edgar A. Martínez-García, Rafael Torres-Cordoba

“…In fast dynamic environments, path planning needs algorithms able to sense simultaneously a diversity of obstacles, and use such sensory information to improve real-time navigation control, while moving towards a desired goal destination. …”
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