Aerial and Ground Robot Collaboration for Autonomous Mapping in Search and Rescue Missions by Dimitrios Chatziparaschis, Michail G. Lagoudakis, Panagiotis Partsinevelos

“…The humanoid robot receives a goal position in the created map and executes a path planning algorithm in order to estimate the FootStep navigation trajectory for reaching the goal. …”
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FPGA Implementation of Floating Point Based Cuckoo Search Algorithm by Hanady Hussein Issa, Saleh Mohamed Eisa Ahmed

“…Accordingly, the proposed design is suitable for path planning for unmanned aerial vehicles (UAVs), sensor deployments for wireless sensor networks (WSNs) in addition to medical diagnostic and DSP applications.…”
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Design of Dynamic Multi-Obstacle Tracking Algorithm for Intelligent Vehicle by Yuqiong Wang, Binbin Sun, Rui Dang, Zhenwei Wang, Weichong Li, Ke Sun

“…Environmental perception forms the basis of intelligent driving systems and is a prerequisite for path planning and vehicle control. Among them, dynamic multi-obstacle tracking is the key to environmental perception. …”
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A*–Ant Colony Optimization Algorithm for Multi-Branch Wire Harness Layout Planning by Feng Yang, Ping Wang, Renjie Zhang, Shuyu Xing, Zhenlin Wang, Ming Li, Qiang Fang

“…It formulates the problem as an optimization problem in 3D free-form space and resolves it using an extended A* path planning approach in combination with the ant colony optimization algorithm. …”
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Object Relocation Visual Tracking Based on Histogram Filter and Siamese Network in Intelligent Transportation by Jianlong Zhang, Yifan Liu, Qiao Li, Ci He, Bin Wang, Tianhong Wang

“…Target detection and tracking algorithms are one of the key technologies in the field of autonomous driving in intelligent transportation, providing important sensing capabilities for vehicle localization and path planning. Siamese network-based trackers formulate the visual tracking mission as an image-matching process by regression and classification branches, which simplifies the network structure and improves the tracking accuracy. …”
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Data Efficient Reinforcement Learning for Integrated Lateral Planning and Control in Automated Parking System by Shaoyu Song, Hui Chen, Hongwei Sun, Meicen Liu

“…Without human demonstrations, a novel training pipeline is also used to train the initial action guidance network and the state value network. Compared with path planning and path-following methods, the proposed integrated method can flexibly co-ordinate the longitudinal and lateral motion to park a smaller parking space in one maneuver. …”
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Devising Mobile Sensing and Actuation Infrastructure with Drones by Mungyu Bae, Seungho Yoo, Jongtack Jung, Seongjoon Park, Kangho Kim, Joon Yeop Lee Kim, Hwangnam Kim

“…Our simulation results have shown that the proposed system is able to activate actuators in the order of importance of the service, which uses separate sensors’ data, and it consumes almost the same time in comparison with other path-planning algorithms. Moreover, we have implemented DaaG and presented results in a field test to show that it can enable large-scale on-demand deployment of sensing and actuation infrastructure or the Internet of Things (IoT).…”
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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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A Bioinspired Soft Robot Combining the Growth Adaptability of Vine Plants with a Coordinated Control System by Pengchun Li, Yongchang Zhang, Guangyu Zhang, Dekai Zhou, Longqiu Li

“…It is established that the robot exhibits great advantages in active consecutive steering over a long distance, high controllability in completing more complex path planning, and significant ability of carrying operational tools for ventilation pipeline disinfection and multi-obstacle detection. …”
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Hierarchical DDPG for Manipulator Motion Planning in Dynamic Environments by Dugan Um, Prasad Nethala, Hocheol Shin

“…The experimental results demonstrated its usefulness with a manipulator motion planning problem in a dynamic environment, where path planning and collision avoidance conflict each other. …”
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Environment Classification Using Machine Learning Methods for Eco-Driving Strategies in Intelligent Vehicles by Jose del C. Julio-Rodríguez, Carlos A. Rojas-Ruiz, Alfredo Santana-Díaz, M. Rogelio Bustamante-Bello, Ricardo A. Ramirez-Mendoza

“…The results of such a system can potentially be used to provide precise information for path planning, energy optimization, or safety purposes. …”
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Cable-driven agribot prototype: Enabling precision agriculture through innovative design by Stefano Leonori, Stefano Mattei, Luigi Anniballi, Fabio Massimo Frattale Mascioli

“…The supervisor system, driven by a decision-making system based on a finite state machine, oversees the execution of path planning for the agribot, providing high modularity and flexibility to adapt to various system actions.…”
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Design of Obstacle Avoidance for Autonomous Vehicle Using Deep Q-Network and CARLA Simulator by Wasinee Terapaptommakol, Danai Phaoharuhansa, Pramote Koowattanasuchat, Jartuwat Rajruangrabin

“…This method is a non-global path planning method successfully implemented on a virtual environment platform, which is an advantage of this method over other autonomous vehicle designs, allowing for simulation testing and application with further experiments in future work.…”
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Cooperative control method of transmission line inspection UAV cluster based on hybrid networking technology by Guo Jinchao, Cheng Guoxiong, Lin Junsheng, Meng Huawei, Liao Ruchao

“…The results show that the cooperative control of UAV cluster based on hybrid networking MAC protocol reduces the average time of path planning by 36.08s, increases the average path length by 7.30m, and reduces the average number of sampling points by 21.4% compared with RRT algorithm. …”
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A LiDAR-Camera-Inertial-GNSS Apparatus for 3D Multimodal Dataset Collection in Woodland Scenarios by Mário P. Cristóvão, David Portugal, Afonso E. Carvalho , João Filipe Ferreira 

“…Acquired data can then be used for a myriad of perception-based applications, such as localization and mapping, flammable material identification, traversability analysis, path planning and/or semantic segmentation toward (semi-)automated forestry actuation. …”
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A Hybrid Autonomous Recovery Scheme for AUV Based Dubins Path and Non-Singular Terminal Sliding Mode Control Method by Xiaofei Yang, Xunnan Zhu, Wei Liu, Hui Ye, Wentao Xue, Congling Yan, Weixiang Xu

“…Based on the hybrid scheme, the autonomous recovery is firstly transformed into the trajectory tracking problem, and the Dubins path planning method is adopted to build the three-dimensional(3D) motion path of AUV. …”
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An Automatic Detection Method for Cutting Path of Chips in Wafer by Yuezong Wang, Haoran Jia, Pengxuan Jia, Kexin Chen

“…For this reason, this thesis proposes an automatic chip-cutting path-planning method in the wafer image of the Glass Passivation Parts (GPPs) process without a mark. …”
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Research on Dynamic Target Search for Multi-UAV Based on Cooperative Coevolution Motion-Encoded Particle Swarm Optimization by Yiyuan Li, Weiyi Chen, Bing Fu, Zhonghong Wu, Lingjun Hao, Guang Yang

“…The motion encoding mechanism converts the search path nodes into a set of motion paths, which enables more flexible handling of UAV trajectories and improves the efficiency of dynamic path planning. Meanwhile, the cooperative coevolution optimization framework enables collaboration between different UAVs to improve global search performance through multiple swarm information sharing, which helps avoid falling into local optimal solutions. …”
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Slip Estimation Model for Planetary Rover Using Gaussian Process Regression by Tianyi Zhang, Song Peng, Yang Jia, Junkai Sun, He Tian, Chuliang Yan

“…The slip value may be used in subsequent path tracking research, and the slip confidence interval will be able to help guide path planning.…”
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Autonomous Driving Control Based on the Perception of a Lidar Sensor and Odometer by Jichiang Tsai, Che-Cheng Chang, Yu-Cheng Ou, Bing-Herng Sieh, Yee-Ming Ooi

“…Hence, in this work, a novel method for a UGV to realize path planning and obstacle avoidance is presented using a deep deterministic policy gradient approach (DDPG). …”
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