Rolling Locomotion Control of a Biologically Inspired Quadruped Robot Based on Energy Compensation

We have developed a biologically inspired reconfigurable quadruped robot which can perform walking and rolling locomotion and transform between walking and rolling by reconfiguring its legs. This paper presents an approach to control rolling locomotion with the biologically inspired quadruped robot. For controlling rolling locomotion, a controller which can compensate robot's energy loss during rolling locomotion is designed based on a dynamic model of the quadruped robot. The dynamic model describes planar rolling locomotion based on an assumption that the quadruped robot does not fall down while rolling and the influences of collision and contact with the ground, and it is applied for computing the mechanical energy and a plant in a numerical simulation. The numerical simulation of rolling locomotion on the flat ground verifies the effectiveness of the proposed controller. The simulation results show that the quadruped robot can perform periodic rolling locomotion with the proposed energy-based controller. In conclusion, it is shown that the proposed control approach is effective in achieving the periodic rolling locomotion on the flat ground.

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

[2]  Wei-Min Shen,et al.  CONRO: Towards Deployable Robots with Inter-Robots Metamorphic Capabilities , 2000, Auton. Robots.

[3]  Marco Dorigo,et al.  Cooperative hole avoidance in a swarm-bot , 2006, Robotics Auton. Syst..

[4]  Shane Farritor,et al.  Distributed control for a modular, reconfigurable cliff robot , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[5]  Arthur C. Sanderson,et al.  Dynamic rolling locomotion and control of modular robots , 2002, IEEE Trans. Robotics Autom..

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

[7]  W. Blajer A geometrical interpretation and uniform matrix formulation of multibody system dynamics , 2001 .

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

[9]  Wei-Min Shen,et al.  Hormone-inspired adaptive communication and distributed control for CONRO self-reconfigurable robots , 2002, IEEE Trans. Robotics Autom..

[10]  Huai-Ti Lin,et al.  GoQBot: a caterpillar-inspired soft-bodied rolling robot , 2011, Bioinspiration & biomimetics.

[11]  Mark A. Minor,et al.  Design and Quasi-Static Locomotion Analysis of the Rolling Disk Biped Hybrid Robot , 2008, IEEE Transactions on Robotics.

[12]  Jean-Arcady Meyer,et al.  Biologically Inspired Robots , 2008, Springer Handbook of Robotics.

[13]  Toru Omata,et al.  Nonholonomic dynamic rolling control of reconfigurable 5R closed kinematic chain robot with passive joints , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[14]  Mark Yim,et al.  Dynamic Rolling for a Modular Loop Robot , 2006, ISER.

[15]  H. Ohsaki,et al.  A Consideration of nonlinear system modeling using the projection method , 2007, SICE Annual Conference 2007.

[16]  Luca Maria Gambardella,et al.  The cooperation of swarm-bots: physical interactions in collective robotics , 2005, IEEE Robotics & Automation Magazine.

[17]  Toru Omata,et al.  Coupling of two 2-link robots with a passive joint for reconfigurable planar parallel robot , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[18]  K. Åström,et al.  A new family of smooth strategies for swinging up a pendulum , 2005 .

[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]  A. Ohata,et al.  Engine modeling based on projection method and conservation laws , 2004, Proceedings of the 2004 IEEE International Conference on Control Applications, 2004..

[21]  Fumitoshi Matsuno,et al.  Development of Three-legged Modular Robots and Demonstration of Collaborative Task Execution , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[22]  R. Pfeifer,et al.  Self-Organization, Embodiment, and Biologically Inspired Robotics , 2007, Science.

[23]  Zhiwei Luo,et al.  Biped gait generation and control based on a unified property of passive dynamic walking , 2005, IEEE Transactions on Robotics.

[24]  Masaki Yamakita,et al.  From passive to active dynamic walking , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

[25]  Mark A. Minor,et al.  Introducing the Hex-a-ball, a Hybrid Locomotion Terrain Adaptive Walking and Rolling Robot , 2005, CLAWAR.

[26]  Masami Iwase,et al.  Yo-yo motion control based on impulsive Luenberger Observer , 2011, IEEE Conference on Decision and Control and European Control Conference.

[27]  Katsuhisa Furuta,et al.  Swinging up a pendulum by energy control , 1996, Autom..

[28]  W. Blajer,et al.  A unified approach to the modelling of holonomic and nonholonomic mechanical systems , 1996 .

[29]  Rajesh Elara Mohan,et al.  Energy Based Position Control of Jansen Walking Robot , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

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

[31]  Wei-Min Shen,et al.  Multimode locomotion via SuperBot reconfigurable robots , 2006, Auton. Robots.