Comparing two online tip-over avoidance algorithms for mobile manipulators

In this paper, a real-time intelligent algorithm to avoid tipping-over of redundant wheeled mobile manipulators, taking into account the interactions between the arm and the mobile-base, is presented. To this end, the Moment-Height Stability (MHS) criterion is utilized to predict the toppling down occurrence and to trigger the suggested online stability recovery algorithm. To enhance the dynamic stability of robotic system a Stability Margin Metric-Increment Function (SMMIF) is proposed by which the most effective motion parameters are found to improve the robot dynamic stability. Next a fuzzy logic-based planner is utilized to design the stabilizing movement. Considering a planar mobile manipulator system, the response of proposed algorithm is analyzed and compared with a previous algorithm which is based on the Force-Angle (FA) Stability margin measure. The obtained simulation results indicate efficient performance of the proposed algorithm as compared to the previously proposed one.

[1]  Qiang Huang,et al.  Motion planning of stabilization and cooperation of a mobile manipulator-vehicle motion planning of a mobile manipulator , 1996, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96.

[2]  S. Ali A. Moosavian,et al.  On the Dynamic tip-over stability of wheeled Mobile manipulators , 2007, Int. J. Robotics Autom..

[3]  Ali Ghaffari,et al.  Tipover Stability Enhancement of Wheeled Mobile Manipulators Using an Adaptive Neuro- Fuzzy Inference Controller System , 2008 .

[4]  Francis L. Merat,et al.  Introduction to robotics: Mechanics and control , 1987, IEEE J. Robotics Autom..

[5]  Yangmin Li,et al.  Real-Time Tip-Over Prevention and Path Following Control for Redundant Nonholonomic Mobile Modular Manipulators via Fuzzy and Neural-Fuzzy Approaches , 2006 .

[6]  Aaron Burmeister,et al.  Real-world validation of three tipover algorithms for mobile robots , 2010, 2010 IEEE International Conference on Robotics and Automation.

[7]  Leibin Yu,et al.  On-line planning of nonholonomic mobile manipulators based on stability twist constraint , 2010 .

[8]  Marko B. Popovic,et al.  Ground Reference Points in Legged Locomotion: Definitions, Biological Trajectories and Control Implications , 2005, Int. J. Robotics Res..

[9]  Steven Dubowsky,et al.  Control of Robotic Vehicles with Actively Articulated Suspensions in Rough Terrain , 2003, Auton. Robots.

[10]  Steven C. Peters,et al.  An analysis of rollover stability measurement for high-speed mobile robots , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[11]  Yangmin Li,et al.  Online fuzzy logic control for tipover avoidance of autonomous redundant mobile manipulators , 2006 .

[12]  D. A. Rey,et al.  Online automatic tipover prevention for mobile manipulators , 1997, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97.

[13]  Zvi Shiller,et al.  Dynamic stability of off-road vehicles: Quasi-3D analysis , 2008, 2008 IEEE International Conference on Robotics and Automation.

[14]  Ali Meghdari,et al.  Optimal stability of a redundant mobile manipulator via genetic algorithm , 2006, Robotica.

[15]  Vinutha Kallem,et al.  Rate of change of angular momentum and balance maintenance of biped robots , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[16]  Ambarish Goswami,et al.  Postural Stability of Biped Robots and the Foot-Rotation Indicator (FRI) Point , 1999, Int. J. Robotics Res..

[17]  Evangelos Papadopoulos,et al.  The Force-Angle Measure of Tipover Stability Margin for Mobile Manipulators , 2000 .