A Fuzzy Control Strategy for Multi-Goal Autonomous Robot Navigation by Stavros Stavrinidis, Paraskevi Zacharia, Elias Xidias

“…This paper addresses the complex problem of multi-goal robot navigation, framed as an NP-hard traveling salesman problem (TSP), in environments with both static and dynamic obstacles. …”
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A survey of autonomous robots and multi-robot navigation: Perception, planning and collaboration by Weinan Chen, Wenzheng Chi, Sehua Ji, Hanjing Ye, Jie Liu, Yunjie Jia, Jiajie Yu, Jiyu Cheng

“…This paper focuses on automation systems and multi-robot navigation to support their operations. The review is structured around three potential benefits: perception, planning, and collaboration. …”
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Same Fuzzy Logic Controller for Two-Wheeled Mobile Robot Navigation in Strange Environments by Awatef Aouf, Lotfi Boussaid, Anis Sakly

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Review of Neurobiologically Based Mobile Robot Navigation System Research Performed Since 2000 by Peter J. Zeno, Sarosh Patel, Tarek M. Sobh

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Human Modeling and Passivity Analysis for Semi-Autonomous Multi-Robot Navigation in Three Dimensions by Takeshi Hatanaka, Takahiro Mochizuki, Takumi Sumino, Jose M. Maestre, Nikhil Chopra

Subjects: “…semi-autonomous multi–robot navigation…”
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Speedup of Interval Type 2 Fuzzy Logic Systems Based on GPU for Robot Navigation by Long Thanh Ngo, Dzung Dinh Nguyen, Long The Pham, Cuong Manh Luong

“…This paper demonstrates how to install interval type 2 fuzzy logic systems (IT2-FLSs) on the GPU and experiments for obstacle avoidance behavior of robot navigation. GPU-based calculations are high-performance solution and free up the CPU. …”
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Memory-driven deep-reinforcement learning for autonomous robot navigation in partially observable environments by Estrella Montero, Nabih Pico, Mitra Ghergherehchi, Ho Seung Song

“…However, the unpredictable nature of human behavior, the prevalence of occlusions and the lack of complete environmental perception due to sensor limitations can severely restrict effective robot navigation. We propose a memory-driven algorithm that employs deep reinforcement learning to enable collision-free proactive navigation in partially observable environments. …”
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Pathfinding for Mobile Robot Navigation by Exerting the Quarter-Sweep Modified Accelerated Overrelaxation (QSMAOR) Iterative Approach via the Laplacian Operator by A’qilah A. Dahalan, Azali Saudi, Jumat Sulaiman

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A Modified Dijkstra Algorithm for ROS Based Autonomous Mobile Robots by Orkan Murat Çelik, Murat Köseoğlu

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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

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Navigation Control Method of Indoor Mobile Robot Based on Visual Servo by Chongfu Huang, Wei Zhang

“…Through the simulation test, it is verified that the indoor mobile robot navigation control method based on visual servo has certain effects.…”
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Path Planning Using a Hybrid Evolutionary Algorithm Based on Tree Structure Encoding by Ming-Yi Ju, Siao-En Wang, Jian-Horn Guo

“…The experimental results show that the proposed hybrid method demonstrates using fewer turning points than traditional evolutionary algorithms to generate shorter collision-free paths for mobile robot navigation.…”
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Research Progress and Prospects of Key Navigation Technologies for Facility Agricultural Robots by HE Yong, HUANG Zhenyu, YANG Ningyuan, LI Xiyao, WANG Yuwei, FENG Xuping

“…However, the complexity and diversity of facility environments, including varying crop layouts and lighting conditions, impose higher demands on robot navigation. Therefore, achieving stable, accurate, and rapid navigation for robots has become a key issue. …”
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Monocular Depth Estimation: A Review on Hybrid Architectures, Transformers and Addressing Adverse Weather Conditions by Kumara Lakindu, Senanayake Nipuna, Poravi Guhanathan

“…Monocular depth estimation is one of the essential tasks in computer vision as it can provide depth information from 2D images and is extremely beneficial for applications such as autonomous driving, robot navigation, etc. Monocular depth estimation has significantly improved over the past couple of years and deep learning-based methods have surpassed traditional and machine learning-based methods. …”
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A Novel Edge Detection Algorithm for Mobile Robot Path Planning by Rami Al-Jarrah, Mohammad Al-Jarrah, Hubert Roth

“…In addition, the proposed algorithm has been tested through real-time robot navigation system, where it has been applied to detect the robot and obstacles in unstructured environment and generate 2D maps. …”
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Distance-Based Fractional Dimension of Certain Wheel Networks by Hassan Zafar, Muhammad Javaid, Mamo Abebe Ashebo

“…The metric dimension has a wide range of applications in the field of computer science such as integer programming, radar tracking, pattern recognition, robot navigation, and image processing. A vertex x in a network W resolves the adjacent pair of vertices uv if x attains an unequal distance from end points of uv. …”
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Particle Filter and Finite Impulse Response Filter Fusion and Hector SLAM to Improve the Performance of Robot Positioning by Amin Bassiri, Mohammadreza Asghari Oskoei, Anahid Basiri

“…This paper uses a hybrid filter algorithm for the indoor positioning system for robot navigation integrating Particle Filter (PF) algorithm and Finite Impulse Response (FIR) filter algorithm to assure the continuity of the positioning solution. …”
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Robot Path Planning Using Improved Ant Colony Algorithm in the Environment of Internet of Things by Hongliu Huang, Guo Tan, Linli Jiang

“…It is a research topic of practical significance to study the path planning technology of mobile robot navigation technology. Aiming at the problems of slow convergence speed, redundant planning path, and easy to fall into local optimal value of ant colony algorithm in a complex environment, a robot path planning based on improved ant colony algorithm is proposed. …”
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Fusing Depth and Silhouette for Scanning Transparent Object with RGB-D Sensor by Yijun Ji, Qing Xia, Zhijiang Zhang

“…3D reconstruction based on structured light or laser scan has been widely used in industrial measurement, robot navigation, and virtual reality. However, most modern range sensors fail to scan transparent objects and some other special materials, of which the surface cannot reflect back the accurate depth because of the absorption and refraction of light. …”
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Design of a Hierarchical Fuzzy Control System to Guide the Robot and Prevent Collisions with Obstacles by Alireza Makvandi, Hesam Makvandi, Sayed Ehsan Alavi

“…The fuzzy controller proposed in the current contribution consists of three agents: A robot navigation agent, which helps the robot reach the target point using a fuzzy-based controller, an obstacle avoidance agent which exploits a hierarchical fuzzy control to keep the robot away from obstructions, and a perception agent that employs eight sensors to provide the required information concerning the environment. …”
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