The Navigation of Home Service Robot Based on Deep Learning and Machine Learning by Yupei Yan, Weimin Ma, Sengfat Wong, Xuemei Yin, Qiang Pan, Zhiwen Liao, Xiaoxin Lin

“…Following, the data come from the robot operating system topics are collected and cleaned, the linear regression, decision tree, and linear SVR algorithms are applied and compared to predict the power consumption of the robot, and a conclusion is obtained that liner movement will consume more power, which provides a reference for the path planning of the robot. Lastly, the conclusions are proposed that a novel methodology is applied to distinguish different home appliances, which is useful for the accurate navigation of the robot; the liner movement will consume more power compared to turning left or right, which supplies a reference for the optimized path planning for the robot.…”
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End-to-end data collection strategy using mobile sink in wireless sensor networks by Xiaofeng Wu, Zhuangqi Chen, Yi Zhong, Hui Zhu, Pingjian Zhang

“…However, most approaches treat the collection point selection and touring path planning as two independent problems, which leads to a sub-optimal solution for data collection. …”
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Research on autonomous navigation of mobile robots based on IA-DWA algorithm by Quanling He, Zongyan Wang, Kun Li, Yuting Zhang, Menglong Li

“…Then, the length of time and convergence speed of path planning are compared and simulated in raster maps of different complexity. …”
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Multi-AGV multitask collaborative scheduling based on an improved ant colony algorithm by Yazhen Zhu, Qing Song, Meng Li

“…Existing research mainly focuses on the optimization of automated guided vehicle (AGV) path planning and scheduling, emphasizing on the minimization of conflicts and deadlocks, multi-objective task scheduling, and metaheuristic algorithm optimization, while ignoring path stability and real-time path planning in dynamic environments. …”
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Human-Machine Interface for a Smart Wheelchair by Amiel Hartman, Vidya K. Nandikolla

“…The distributed programs operating frequency for path planning and motion control is 50Hz and 12.3Hz for 0.3 megapixel robot vision system. …”
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Design and Experiment of Electric Uncrewed Transport Vehicle for Solanaceous Vegetables in Greenhouse by Chunsong Guan, Weisong Zhao, Binxing Xu, Zhichao Cui, Yating Yang, Yan Gong

“…Multi-sensor fusion localization, path planning, and control enable autonomous operation. …”
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Advanced Driver-Assistance System (ADAS) for Intelligent Transportation Based on the Recognition of Traffic Cones by Liyong Wang, Peng Sun, Min Xie, Shaobo Ma, Boxiong Li, Yuchen Shi, Qinghua Su

“…Compared with traditional transportation, ADAS is superior in ensuring passenger safety, optimizing path planning, and improving driving control, especially in an autopilot mode. …”
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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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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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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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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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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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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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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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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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