Proposal of algorithms for navigation and obstacles avoidance of autonomous mobile robot

This paper presents algorithms to navigate and avoid obstacles for an in-door autonomous mobile robot. A laser range finder is used to obtain 3D images of the environment. A new algorithm, namely 3D-to-2D image pressure and barriers detection (IPaBD), is proposed to create a 2D global map from the 3D images. This map is basic to design the trajectory. A tracking controller is developed to control the robot to follow the trajectory. The obstacle avoidance is addressed with the use of sonar sensors. An improved vector field histogram (Improved-VFH) algorithm is presented with improvements to overcome some limitations of the original VFH. Experiments have been conducted and the result is encouraged.

[1]  Fernando Matía,et al.  Extraction of Geometrical Features in 3D Environments for Service Robotic Applications , 2008, HAIS.

[2]  Cristiano Premebida.  Segmentation and Geometric Primitives Extraction from 2D Laser Range Data for Mobile Robot Applications , 2005 .

[3]  T. T. Hoang,et al.  Multi-sensor perceptual system for mobile robot and sensor fusion-based localization , 2012, 2012 International Conference on Control, Automation and Information Sciences (ICCAIS).

[4]  T. T. Hoang,et al.  Development of an EKF-based localization algorithm using compass sensor and LRF , 2012, 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV).

[5]  Tran Hiep Dinh,et al.  Localization of a unicycle-like mobile robot using LRF and omni-directional camera , 2012, 2012 IEEE International Conference on Control System, Computing and Engineering.

[6]  Keum-Shik Hong,et al.  A path following control of an unmanned autonomous forklift , 2009 .

[7]  Edwin Olson,et al.  Graph-based segmentation for colored 3D laser point clouds , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Fumio Miyazaki,et al.  A stable tracking control method for an autonomous mobile robot , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[9]  Yoram Koren,et al.  Potential field methods and their inherent limitations for mobile robot navigation , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[10]  Pólo de Coimbra,et al.  Segmentation and Geometric Primitives Extraction from 2D Laser Range Data for Mobile Robot Applications , 2005 .

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

[13]  Keum-Shik Hong,et al.  Robust stabilization of a wheeled vehicle: Hybrid feedback control design and experimental validation , 2010 .

[14]  Oussama Khatib,et al.  Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1985, Autonomous Robot Vehicles.

[15]  Andrzej Typiak,et al.  Use of Laser Rangefinder to Detecting in Surroundings of Mobile Robot the Obstacles , 2008 .