Review on Autonomous Indoor Wheel Mobile Robot Navigation Systems

Indoor wheel mobile robot navigation system is still an open problem due to the presence of obstacles and the complexity of the environment. The path planning and localization play vital roles in obstacle avoidance and complete navigation of wheel mobile robot. In this paper, the most important methods are reviewed, by considering their advantages and limitations, especially for indoor mobile robots. Different low-cost navigation techniques for an indoor autonomous mobile robot are reviewed. This paper contributes to a comparison of approaches for collision-free and self-localizing indoor autonomous mobile robots, and recommendations towards low-cost but reliable solutions.

[1]  Anish Pandey,et al.  A review: On path planning strategies for navigation of mobile robot , 2019, Defence Technology.

[2]  Jelena Kocić,et al.  Sensors and Sensor Fusion in Autonomous Vehicles , 2018, 2018 26th Telecommunications Forum (TELFOR).

[3]  Shichao Yang,et al.  Direct monocular odometry using points and lines , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[4]  Catherine M. Elias,et al.  A Global Integrated Artificial Potential Field/Virtual Obstacles Path Planning Algorithm for Multi-Robot System Applications , 2017 .

[5]  Jiang Gang.  Research on Localization Technology for Mobile Robots , 2011 .

[6]  Shun-ming Li,et al.  A Fuzzy Behavior-Based Architecture for Mobile Robot Navigation in Unknown Environments , 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.

[8]  Zbigniew Michalewicz,et al.  Adaptive evolutionary planner/navigator for mobile robots , 1997, IEEE Trans. Evol. Comput..

[9]  Gerhard P. Hancke,et al.  Pose Estimation of a Mobile Robot Based on Fusion of IMU Data and Vision Data Using an Extended Kalman Filter , 2017, Sensors.

[10]  Cun-xi Xie,et al.  Fuzzy Obstacle-avoiding Controller of Autonomous Mobile Robot Optimized by Genetic Algorithm under Multi-obstacles Environment , 2006, 2006 6th World Congress on Intelligent Control and Automation.

[11]  Khaled M. Elleithy,et al.  An Optimal and Energy Efficient Multi-Sensor Collision-Free Path Planning Algorithm for a Mobile Robot in Dynamic Environments , 2017, Robotics.

[12]  Jinhai Li,et al.  Review of Wheeled Mobile Robots’ Navigation Problems and Application Prospects in Agriculture , 2018, IEEE Access.

[13]  Wei Yang,et al.  A novel localization method based on sharp corners for indoor mobile robots , 2016, 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA).

[14]  Leonimer Flavio de Melo,et al.  Mobile Robot Indoor Autonomous Navigation with Position Estimation Using RF Signal Triangulation , 2013 .

[15]  John T. Wen,et al.  Mobile robot navigation using sensor fusion , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[16]  Kazuma Sekiguchi,et al.  Localization with LRF using both environment map and feature of supplemented objects , 2017, 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

[17]  Jing Yuan,et al.  Cooperative localization for disconnected sensor networks and a mobile robot in friendly environments , 2017, Inf. Fusion.

[18]  S. Geetha,et al.  Mobile Robot Localization and Navigation in Artificial Intelligence: Survey , 2017 .

[19]  Woo-Jin Seo,et al.  Indoor Dead Reckoning Localization Using Ultrasonic Anemometer with IMU , 2017, J. Sensors.

[20]  N. Buniyamin,et al.  An Overview of Autonomous Mobile Robot Path Planning Algorithms , 2006, 2006 4th Student Conference on Research and Development.

[21]  H. Aminaiee.  A fuzzy local path planning and obstacle avoidance for mobile robots , 2005 .

[22]  Gordon Wyeth,et al.  Hybrid robot control and SLAM for persistent navigation and mapping , 2010, Robotics Auton. Syst..

[23]  Tie Zhang,et al.  An indoor mobile robot navigation technique using odometry and electronic compass , 2017 .

[24]  Koren,et al.  Real-Time Obstacle Avoidance for Fast Mobile Robots , 2022 .

[25]  Wan Rahiman,et al.  A comprehensive study for robot navigation techniques , 2019, Cogent Engineering.

[26]  Yoram Koren,et al.  The vector field histogram-fast obstacle avoidance for mobile robots , 1991, IEEE Trans. Robotics Autom..

[27]  Nak Young Chong,et al.  Scan matching online cell decomposition for coverage path planning in an unknown environment , 2013 .

[28]  Xingsheng Gu,et al.  Double global optimum genetic algorithm–particle swarm optimization-based welding robot path planning , 2016 .

[29]  Khaled M. Elleithy,et al.  Sensor Fusion Based Model for Collision Free Mobile Robot Navigation , 2015, Sensors.