Optimized Control for Dynamical Performance of the Polishing Robot in Unstructured Environment by Zhong Luo, Shuxian Yang, Yilan Sun, Hongyi Liu

“…Then, a S-shaped acceleration-deceleration path planning method and a human-simulated intelligent control (HSIC) strategy are proposed. …”
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An Improved Human Evolution Optimization Algorithm for Unmanned Aerial Vehicle 3D Trajectory Planning by Xue Wang, Shiyuan Zhou, Zijia Wang, Xiaoyun Xia, Yaolong Duan

“…To address the challenges of slow convergence speed, poor convergence precision, and getting stuck in local optima for unmanned aerial vehicle (UAV) three-dimensional path planning, this paper proposes a path planning method based on an Improved Human Evolution Optimization Algorithm (IHEOA). …”
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Application of New Technology of Intelligent Robot Plant Protection in Ecological Agriculture by Zhe An, Chunhang Wang, Bincy Raj, Sathyapriya Eswaran, R. Raffik, Sandip Debnath, Saima Ahmed Rahin

“…In order to improve the accuracy and reliability of plant protection robots in agricultural job path planning, we propose a path planning method for agricultural plant protection robots based on a nonlinear algorithm. …”
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Obstacle Avoidance Planning of Manipulator Joints Based on an Improved Artificial Potential Field Method by Yue Xu, Zhou Haibo, Shao Yanpeng, Lu Shuai, Xu Wangbei, Deng Yuxin

“…Adaptive variable-step path planning can generate smooth trajectories and improve the search efficiency. …”
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An Intelligent 5G Unmanned Aerial Vehicle Path Optimization Algorithm for Offshore Wind Farm Inspection by Congxiao Jiang, Lingang Yang, Yuqing Gao, Jie Zhao, Wenne Hou, Fangmin Xu

“…This algorithm overcomes the limitations of traditional single-path planning methods, enabling more accurate and efficient path planning.…”
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Distributed Intelligent Assistance Robotic System with Sensor Networks Based on Robot Technology Middleware by Songmin Jia, Zhengyin Dong, Xiuzhi Li, Xiongwei Pang, Bing Guo, Shuang Wang, Ke Wang

“…In the proposed system, we use SP 2 ATM (simultaneous path planning and topological mapping) with RBPF (Rao-Blackwellized particle filter) for path planning and localization of mobile robots. …”
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Digital twin based intelligent urban traffic forecasting and guidance strategy by Xiwen LIAO, Supeng LENG, Yujun MING, Tianyang LI

“…As the technology of ubiquitous Internet of things and artificial intelligence improves by leaps and bounds, the transportation system revolution is flourishing and bringing new opportunities and challenges.Considering the defect in the existing navigation system, and the neglect of the temporal and spatial characteristics of traffic flow, the macro traffic network and micro vehicle network were modeled and their coupling relationship was mined.Then, a digital twin based urban traffic forecasting and guidance method was proposed to alleviate the problem of traffic congestion.The spatial-temporal traffic flow information was predicted through the diffusion convolution recurrent neural network, which was explicitly applied to the vehicle path planning decision.On this basis, a spatial-temporal collaborative deep reinforcement learning method was proposed to implement the future-oriented collaborative path planning of vehicles.It also guided the underlying vehicle twins to select the optimal strategy for the real world.With SUMO for simulation verification, the experimental results show that the proposed method is significantly better than the existing algorithms in improving the travel completion ratio and congestion relief, and can improve the efficiency of urban traffic travel.…”
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Mathematical mapping analysis method of multi-power system coupled with planetary gears by GUI Jingliang, JIA Yanyan, REN Wei, PAN Zhenfeng, ZHANG Rongbin

“…ObjectiveIn order to quantitatively work out operating parameters and relation of parts of multi-power system coupled with planetary gears, a mathematical mapping analysis method was proposed.MethodsThe method was discussed by analyzing the hybrid system coupled with planetary gears of one truck, the kinematic and mechanical relations of parts of the system were deduced; a mathematical map was constructed with Matlab software; the switching order of modes and the path planning in start-up acceleration were quantitatively analyzed; the optimal cruising fuel consumption under different slopes and speeds was quantitatively analyzed; based on the above analysis, three system architecture optimizations were proposed, and compared to the original system in performance with simulation.ResultsThe switching order of modes, the path planning and the optimal fuel consumption point under cruising conditions could be intuitively and quantitatively figured out. …”
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Trajectory planning of UUV-assisted UWOC systems based on DQN by Jiawei HU, Xiaoqian LIU, Xinke TANG, Yuhan DONG

“…As a key submarine-based communication platform, unmanned underwater vehicle (UUV) can facilitate underwater wireless optical communication (UWOC).However, fluctuating characteristics of water body, different water qualities, multi-user access present challenges to UUV-assisted UWOC systems, which could be alleviated by an appropriate path planning to maximize the system and each user performance.Deep reinforcement learning (DRL) technology was applied in the path planning of autonomous vehicles, a trajectory planning scheme for UUV-assisted UWOC systems was proposed.The UUV automatically decides the navigation direction through deep Q-network (DQN) method, thereby improving the communication capacity of the system and each user.The impact of distinct water qualities on the capacity enhancement was also investigated.Simulation results suggest that the outputted strategy of DQN can improve the link capacity of the system and each user.This capacity improvement in clear seawater is better than that in pure seawater but lower than that in coastal water.…”
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Path Optimization in Robotic Welding of Plate Heat Exchangers: An Improved Ant Colony Approach by Xianlong Chu, Xinning Li, Hu Wu, Xianhai Yang, Liyong Yang

“…Finally, the improved ACA mechanism is verified by experiments and compared with six existing path planning algorithms (including three ACA variant algorithms and three mainstream algorithms). …”
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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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Electric Vehicle Charging Route Planning for Shortest Travel Time Based on Improved Ant Colony Optimization by Aiping Tan, Chang Wang, Yan Wang, Chenglong Dong

“…While there has been increasing research on EV route optimization, personalized path planning that caters to individual user needs remains underexplored. …”
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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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Study on the Workspace and Structural Parameter of 3-RPS Parallel Robot by Pu Zhixin, Li Yanmei, Yu Yinghua

“…The three-dimensional model is built based on the structure characters of 3-RPS parallel robot through using Pro/E software.The inverse kinematics of the mechanism is obtained by using a new numerical algorithm,and the limit searching method is used to simulate the workspace through using MATLAB software.The simulation results are compared with the Euler angle algorithm.The influence of mechanism parameters on the workspace is analyzed,and the maximum volume of workspace in the parameter range is derived.A foundation for parallel robot parameter optimization and path planning is Laid.…”
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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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Coverage repair strategies for wireless sensor networks based on muti-mobile nodes and genetic algorithm by Miao YE, Yu-ping WANG, Jing-xuan WEI

“…A repairing strategy for the coverage of the sensor network based on multi-mobile nodes and path planning is designed.Such mechanism can ultimately repair common nodes in a timely fashion via energy consumption analysis of the nodes by using genetic algorithm to calculate the reasonable moving path of the mobile nodes,which can avoid cov-erage holes caused by the death of sensor nodes at its best.The global convergence the designed algorithm is proved by stochastic process.Simulation experiments have proven the effectiveness of the designed mechanism and the relevant solution algorithm.…”
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