Constrained VPH+: a local path planning algorithm for a bio-inspired crawling robot with customized ultrasonic scanning sensor

This paper aims to develop a local path planning algorithm for a bio-inspired, reconfigurable crawling robot. A detailed description of the robotic platform is first provided, and the suitability for deployment of each of the current state-of-the-art local path planners is analyzed after an extensive literature review. The Enhanced Vector Polar Histogram algorithm is described and reformulated to better fit the requirements of the platform. The algorithm is deployed on the robotic platform in crawling configuration and favorably compared with other state-of-the-art local path planning algorithms.

[1]  Rajesh Elara Mohan,et al.  Energy-based control for a biologically inspired hexapod robot with rolling locomotion , 2015 .

[2]  Johann Borenstein,et al.  High-speed obstacle avoidance for mobile robots , 1988, Proceedings IEEE International Symposium on Intelligent Control 1988.

[3]  Pinhas Ben-Tzvi,et al.  Modular and reconfigurable mobile robotics , 2012, Robotics Auton. Syst..

[4]  Yoram Koren,et al.  Real-time obstacle avoidance for fast mobile robots in cluttered environments , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[5]  Gregory S. Chirikjian,et al.  Modular Self-Reconfigurable Robot Systems , 2007 .

[6]  Alberto Elfes.  A sonar-based mapping and navigation system , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[7]  Eduard Gregorio-Lopez,et al.  Characterisation of the LMS200 Laser Beam under the Influence of Blockage Surfaces. Influence on 3D Scanning of Tree Orchards , 2011, Sensors.

[8]  Ralf Simon King.  BiLBIQ: A Biologically Inspired Robot with Walking and Rolling Locomotion , 2012 .

[9]  Iwan Ulrich,et al.  VFH/sup */: local obstacle avoidance with look-ahead verification , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

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

[11]  Satoshi Murata,et al.  Self-reconfigurable robots , 2007, IEEE Robotics & Automation Magazine.

[12]  Wolfram Burgard,et al.  The dynamic window approach to collision avoidance , 1997, IEEE Robotics Autom. Mag..

[13]  Guangming Xiong,et al.  VPH+: An Enhanced Vector Polar Histogram Method for Mobile Robot Obstacle Avoidance , 2007, 2007 International Conference on Mechatronics and Automation.

[14]  Alberto Elfes,et al.  Occupancy grids: a probabilistic framework for robot perception and navigation , 1989 .

[15]  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.

[16]  Iwan Ulrich,et al.  VFH+: reliable obstacle avoidance for fast mobile robots , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[17]  Alberto Elfes,et al.  Using occupancy grids for mobile robot perception and navigation , 1989, Computer.

[18]  Gregory S. Chirikjian,et al.  Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics] , 2007, IEEE Robotics & Automation Magazine.

[19]  Rajesh Elara Mohan,et al.  Exploration of adaptive gait patterns with a reconfigurable linkage mechanism , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[20]  Rajesh Elara Mohan,et al.  Realization of rolling locomotion by a wheel-spider-inspired hexapod robot , 2015, ROBIO 2015.

[21]  Rajesh Elara Mohan,et al.  Terrain perception for a reconfigurable biomimetic robot using monocular vision , 2014, ROBIO 2014.

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

[23]  Hong Wang,et al.  VPH: a new laser radar based obstacle avoidance method for intelligent mobile robots , 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

[24]  Iuliu Vasilescu,et al.  Miche: Modular Shape Formation by Self-Disassembly , 2008, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[25]  Seana O'Connell.  Wall following robot , 2002 .