Communication Aware UAV Swarm Surveillance Based on Hierarchical Architecture by Chengtao Xu, Kai Zhang, Yushan Jiang, Shuteng Niu, Thomas Yang, Houbing Song

“…By introducing the UAV communication channel model in its path planning, both centralized and decentralized control schemes would be evaluated in the waypoint tracking simulation. …”
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Expressway Speed Prediction Based on Electronic Toll Collection Data by Fumin Zou, Qiang Ren, Junshan Tian, Feng Guo, Shibin Huang, Lyuchao Liao, Jinshan Wu

“…Expressway section speed can visually reflect the section operation condition, and accurate short time section speed prediction has a wide range of applications in path planning and traffic guidance. However, existing expressway speed prediction data have defects, such as sparse density and incomplete object challenges. …”
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Automated Sortie Scheduling Optimization for Fixed-Wing Unmanned Carrier Aircraft and Unmanned Carrier Helicopter Mixed Fleet Based on Offshore Platform by Zixuan Liu, Wei Han, Yu Wu, Xichao Su, Fang Guo

“…This paper used the improved A* algorithm and the optimal control deck path planning algorithm to construct the transit path library between the deck parking position and take-off position, or between warmable and non-warmable parking positions. …”
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Application improvement of A* algorithm in intelligent vehicle trajectory planning by Xiaoyong Xiong, Haitao Min, Yuanbin Yu, Pengyu Wang

“…A* algorithm is a classical trajectory planning algorithm that has good results in the field of robot path planning. However, there are still some practical problems to be solved when the algorithm is applied to vehicles, such as the algorithm fails to consider the vehicle contours, the planned path is not smooth, and it lacks speed planning. …”
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A Hierarchical Trajectory Planning Algorithm for Automated Guided Vehicles in Construction Sites by Yu Bai, Pengpeng Li, Zhipeng Cui, Peng Yang, Weihua Li

“…Experimental results demonstrate the effectiveness of this method in solving the path planning challenges faced by AGVs in construction site environments characterized by heavy vehicle loads, extensive road search areas, and randomly distributed obstacles.…”
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Towards Integrated Digital-Twins: An Application Framework for Autonomous Maritime Surface Vessel Development by Minahil Raza, Hanna Prokopova, Samir Huseynzade, Sepinoud Azimi, Sebastien Lafond

“…Using the proposed application framework, we develop obstacle detection and path planning systems based on machine learning which leverage live data from a 3D simulation environment to mirror the complex dynamics of the real world. …”
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Design of Thermal System Integrating Chaotic Optimization Strategy and Resilient Back Propagation by Jin Qu, Zhilin Li

“…Traditional inspection systems often have problems such as un-reasonable path planning and incomplete equipment monitoring, which may lead to low equipment operation efficiency and even lead to safety accidents. …”
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AN EXPERIMENTAL EVALUATION OF 3D TERRAIN MAPPING WITH AN AUTONOMOUS HELICOPTER by B. P. Hudzietz, S. Saripalli

“…We discuss issues of flight path planning and propose an algorithm to assist in the generation of these paths. …”
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An Informative Path Planner for a Swarm of ASVs Based on an Enhanced PSO with Gaussian Surrogate Model Components Intended for Water Monitoring Applications by Micaela Jara Ten Kathen, Isabel Jurado Flores, Daniel Gutiérrez Reina

“…Fleets or swarms of vehicles can be deployed to conduct water resource explorations by using path planning techniques to guide the movements of each vehicle. …”
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VISUAL LIDAR ODOMETRY USING TREE TRUNK DETECTION AND LIDAR LOCALIZATION by K. W. Park, S. Y. Park

“…In the future, it is expected that this method will also be applicable in the fields of path planning and navigation.…”
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Sensitivity Analysis of Krasovskii Passivity-Based Controllers by Vlad Mihaly, Mircea Şuşcă, Dora Morar, Petru Dobra

“…Moreover, in order to impose an extra set of performances, the control system contains an outer loop where dynamical path planning is used to impose the additional requirements. …”
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Apple harvesting robot under information technology: A review by Weikuan Jia, Yan Zhang, Jian Lian, Yuanjie Zheng, Dean Zhao, Chengjiang Li

“…Under the impetus of information technology, how to achieve fast and accurate recognition of the fruits of multienvironment and multiple information, obtain reasonable path planning, and further optimization of control strategies are all important research directions.…”
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Reinforcement Learning-Based End-to-End Parking for Automatic Parking System by Peizhi Zhang, Lu Xiong, Zhuoping Yu, Peiyuan Fang, Senwei Yan, Jie Yao, Yi Zhou

“…Lastly, by the real vehicle test, it is proved that using the proposed method can achieve a better parking attitude than using the path planning and path tracking-based method.…”
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Deep Reinforcement Learning for End-to-End Local Motion Planning of Autonomous Aerial Robots in Unknown Outdoor Environments: Real-Time Flight Experiments by Oualid Doukhi, Deok-Jin Lee

“…This paper presents a novel approach for enabling a micro aerial vehicle system equipped with a laser range finder to autonomously navigate among obstacles and achieve a user-specified goal location in a GPS-denied environment, without the need for mapping or path planning. The proposed system uses an actor–critic-based reinforcement learning technique to train the aerial robot in a Gazebo simulator to perform a point-goal navigation task by directly mapping the noisy MAV’s state and laser scan measurements to continuous motion control. …”
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Theoretical and Experimental Investigation of Surface Topography Generation in Slow Tool Servo Ultra-Precision Machining of Freeform Surfaces by Duo Li, Zheng Qiao, Karl Walton, Yutao Liu, Jiadai Xue, Bo Wang, Xiangqian Jiang

“…To achieve the nanometric surface topography, a systematic approach for tool path generation was investigated, including tool path planning, tool geometry selection, and tool radius compensation. …”
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A Path Tracking Strategy for Car Like Robots with Sensor Unpredictability and Measurement Errors by Madan Mohan Rayguru, Mohan Rajesh Elara, Balakrishnan Ramalingam, M. A. Viraj J. Muthugala, S. M. Bhagya P. Samarakoon

“…Most of the cleaning and maintenance tasks require detection, path planning, and control. The motion controller’s job is to ensure the robot follows the desired path or a set of points, pre-decided by the path planner. …”
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A Semi-Automatic Wheelchair with Navigation Based on Virtual-Real 2D Grid Maps and EEG Signals by Ba-Viet Ngo, Thanh-Hai Nguyen

“…The map with the grid cells is simulated to find the optimal paths to the target positions using a Deep Q-Networks (DQNs) model with the Parametric Rectified Linear Unit (PReLU) activation function, in which a novel algorithm for finding the optimal path planning by converting wheelchair actions is applied using the output parameters of the DQNs. …”
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TWO NEW PEDESTRIAN NAVIGATION PATH OPTIONS BASED ON SEMI-INDOOR SPACE by J. Yan, S. Zlatanova, A. A. Diakite

“…We demonstrate and validate the research with path planning on two navigation cases. The results show the two path options and the path selection strategy bring in new navigation experience for humans.…”
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Efficient 3D real-time adaptive AUV sampling of a river plume front by Martin Outzen Berild, Yaolin Ge, Jo Eidsvik, Geir-Arne Fuglstad, Ingrid Ellingsen

“…One vehicle is running an adaptive path planning algorithm while the other runs a preprogrammed path. …”
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The UAV Trajectory Optimization for Data Collection from Time-Constrained IoT Devices: A Hierarchical Deep Q-Network Approach by Zhenquan Qin, Xuan Zhang, Xinwei Zhang, Bingxian Lu, Zhonghao Liu, Linlin Guo

“…Since our scenario is not an inertial order decision process with uniform time slots, we first transform the optimization problem into a semi-Markov decision process (SMDP) through modeling, and then we propose a hierarchical deep Q-network (DQN)-based path-planning algorithm to learn the optimal strategy. …”
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