Evaluation of Topological Mapping Methods in Indoor Environments by Kirill Muravyev, Konstantin Yakovlev

“…Representing a map as a topological structure is suitable for fast path planning and does not require high positioning precision or high computational resources, which is particularly useful in large environments. …”
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Obstacle Avoidance of Multi-Sensor Intelligent Robot Based on Road Sign Detection by Jianwei Zhao, Jianhua Fang, Shouzhong Wang, Kun Wang, Chengxiang Liu, Tao Han

“…A multi-sensor information fusion is used for path planning and the obstacle avoidance logic of the intelligent robot is designed to realize autonomous obstacle avoidance. …”
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Design of a Virtual Multi-Interaction Operation System for Hand–Eye Coordination of Grape Harvesting Robots by Jizhan Liu, Jin Liang, Shengyi Zhao, Yingxing Jiang, Jie Wang, Yucheng Jin

“…Current simulations are more focused on path planning operations for consistency scenarios, which are far from satisfying the requirements. …”
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A Construction Method of a Sequential Decision Chain for Unmanned-Ship Autonomous Collision Avoidance Based on Human-Like Thinking by Xiaoyuan Wang, Gang Wang, Quanzheng Wang, Junyan Han, Longfei Chen, Bin Wang, Huili Shi

“…Existing research on collision-avoidance behavior focuses more on collision risk assessment and local path-planning methods for studies on the human-like sequential logic of the whole collision-avoidance process, as well as the decision-making process of various stages. …”
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Fabrication of Sinusoidal Microstructures on Curved Copper Surface by Ultra-Precision Diamond Cutting with a Rotary <i>B</i>-Axis and Fast Tool Servo System by Xuesen Zhao, Haiping Du, Wenda Song, Qiang Zhang, Zhenjiang Hu, Junjie Zhang, Tao Sun

“…Specifically, tool path planning, together with the consideration of a curved, sinusoidal surface meshing and tool tip arc segmentation compensation, is carried out. …”
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Bio-Inspired Fission–Fusion Control and Planning of Unmanned Aerial Vehicles Swarm Systems via Reinforcement Learning by Xiaorong Zhang, Yufeng Wang, Wenrui Ding, Qing Wang, Zhilan Zhang, Jun Jia

“…Finally, we design a sub-swarm confrontation algorithm for path planning optimized by reinforcement learning, where the sub-swarm can engage in encounters with dynamic obstacles while minimizing energy expenditure. …”
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Enhancing the K-Means Algorithm through a Genetic Algorithm Based on Survey and Social Media Tourism Objectives for Tourism Path Recommendations by Mohamed A. Damos, Jun Zhu, Weilian Li, Elhadi Khalifa, Abubakr Hassan, Rashad Elhabob, Alaa Hm, Esra Ei

“…Social media platforms play a vital role in determining valuable tourist objectives, which greatly aids in optimizing tourist path planning. As data classification and analysis methods have advanced, machine learning (ML) algorithms such as the k-means algorithm have emerged as powerful tools for sorting through data collected from social media platforms. …”
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Modeling a Carbon-Efficient Road–Rail Intermodal Routing Problem with Soft Time Windows in a Time-Dependent and Fuzzy Environment by Chance-Constrained Programming by Yan Sun, Guohua Sun, Baoliang Huang, Jie Ge

“…This study formulates the routing problem under the above considerations and carbon tax regulation as a combination of transportation path planning problem and truck departure time and speed matching problem. …”
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Application of friction surfacing for solid state additive manufacturing of cylindrical shell structures by Zina Kallien, Lars Rath, Arne Roos, Benjamin Klusemann

“…Furthermore, recommendations for process control and path planning, e.g. for building closed cylindrical shell structures, are deduced.…”
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Improved Hybrid Model for Obstacle Detection and Avoidance in Robot Operating System Framework (Rapidly Exploring Random Tree and Dynamic Windows Approach) by Ndidiamaka Adiuku, Nicolas P. Avdelidis, Gilbert Tang, Angelos Plastropoulos

“…The proposed approach leveraged the high accuracy of YOLOv7 obstacle detection and the efficient path-planning capabilities of RRT and dynamic windows approach (DWA) to improve the navigation performance of mobile robots in real-world complex and dynamically changing settings. …”
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Dynamic Vehicle Pose Estimation with Heuristic L-Shape Fitting and Grid-Based Particle Filter by Jing Sun, Yi-Mu Ji, Shang-Dong Liu

“…It serves as the fundamental basis for functions such as tracking, path planning, and decision-making. However, the majority of current vehicle pose estimation techniques struggle to produce satisfactory results when faced with incomplete observation measurements, such as L-shaped point cloud clusters without side contours or those including side-view mirrors. …”
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Active Obstacle Avoidance Trajectory Planning for Vehicles Based on Obstacle Potential Field and MPC in V2P Scenario by Ruoyu Pan, Lihua Jie, Xinyu Zhao, Honggang Wang, Jingfeng Yang, Jiwei Song

“…An obstacle avoidance trajectory-planning algorithm that meets the needs of vehicle path planning is proposed, which considers the constraints of the road environment and pedestrian travel. …”
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A Novel Sampling-Based Optimal Motion Planning Algorithm for Energy-Efficient Robotic Pick and Place by Md Moktadir Alam, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara

“…Sampling-based algorithms for path planning, such as RRT and its many other variants, are widely used in robotic motion planning due to their efficiency in solving complex high-dimensional problems efficiently. …”
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A 3D navigation algorithm switching between waypoint and Bezier curves based local plans for micro air vehicles by Furkan Cakmak, Sirma Yavuz

“…For this reason, a local path planner based on Bezier curves has been developed for MAVs, with path planning represented as a curve on the low-level control card. …”
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A fuzzy-oscillatory model of medial prefrontal cortex control function in spatial memory retrieval in human navigation function by Maryam Moghadam, Farzad Towhidkhah, Shahriar Gharibzadeh

“…Navigation can be broadly defined as the process of moving from an origin to a destination through path-planning. Previous research has shown that navigation is mainly related to the function of the medial temporal lobe (MTL), including the hippocampus (HPC), and medial prefrontal cortex (mPFC), which controls retrieval of the spatial memories from this region. …”
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Carbon Peak and Carbon Neutrality Path for China’s Power Industry by Shu Yinbiao, Zhang Liying, Zhang Yunzhou, Wang Yaohua, Lu Gang, Yuan Bo, Xia Peng

“…Based on the evaluation of power carbon budget, three power transformation scenarios of deep low-carbon, zero carbon, and negative carbon were built, the key boundary conditions such as power consumption demand were studied, and a path planning optimization model was established in the paper. …”
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Natural Frequencies Identification by FEM Applied to a 2-DOF Planar Robot and Its Validation Using MUSIC Algorithm by Salvador Martínez-Cruz, Juan P. Amézquita-Sánchez, Gerardo I. Pérez-Soto, Jesús R. Rivera-Guillén, Luis A. Morales-Hernández, Karla A. Camarillo-Gómez

“…Identifying the NFs of robots is useful for avoiding such frequencies in the path planning and in the selection of controller gains that establish the bandwidth.…”
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DCP-SLAM: Distributed Collaborative Partial Swarm SLAM for Efficient Navigation of Autonomous Robots by Huma Mahboob, Jawad N. Yasin, Suvi Jokinen, Mohammad-Hashem Haghbayan, Juha Plosila, Muhammad Mehboob Yasin

“…Though there has been much work on path planning for autonomous robots employing floor plans, energy-efficient navigation of autonomous robots in unknown environments is gaining traction. …”
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A Multi-Channel Descriptor for LiDAR-Based Loop Closure Detection and Its Application by Gang Wang, Xiaomeng Wei, Yu Chen, Tongzhou Zhang, Minghui Hou, Zhaohan Liu

“…Simultaneous localization and mapping (SLAM) algorithm is a prerequisite for unmanned ground vehicle (UGV) localization, path planning, and navigation, which includes two essential components: frontend odometry and backend optimization. …”
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VISUAL ODOMETRY OF A MOBILE PALETTE ROBOT USING GROUND PLANE IMAGE FROM A FISHEYE CAMERA by U.-G. Lee, S.-Y. Park

“…And, in the future, it is expected to be used in a variety of fields such as visual-based control or path planning.…”
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