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Controlling swimming and crawling in a fish robot using a central pattern generator

Alessandro CrespiContact Information, Daisy LachatContact Information, Ariane PasquierContact Information and Auke Jan IjspeertContact Information

(1)  School of Computer and Communication Science, Ecole Polytechnique Fédérale de Lausanne (EPFL), Station 14, 1015 Lausanne, Switzerland

Received: 30 October 2006  Accepted: 3 December 2007  Published online: 22 December 2007

Abstract   Online trajectory generation for robots with multiple degrees of freedom is still a difficult and unsolved problem, in particular for non-steady state locomotion, that is, when the robot has to move in a complex environment with continuous variations of the speed, direction, and type of locomotor behavior. In this article we address the problem of controlling the non-steady state swimming and crawling of a novel fish robot. For this, we have designed a control architecture based on a central pattern generator (CPG) implemented as a system of coupled nonlinear oscillators. The CPG, like its biological counterpart, can produce coordinated patterns of rhythmic activity while being modulated by simple control parameters.
To test our controller, we designed BoxyBot, a simple fish robot with three actuated fins capable of swimming in water and crawling on firm ground. Using the CPG model, the robot is capable of performing and switching between a variety of different locomotor behaviors such as swimming forwards, swimming backwards, turning, rolling, moving upwards/downwards, and crawling. These behaviors are triggered and modulated by sensory input provided by light, water, and touch sensors. Results are presented demonstrating the agility of the robot and interesting properties of a CPG-based control approach such as stability of the rhythmic patterns due to limit cycle behavior, and the production of smooth trajectories despite abrupt changes of control parameters.
The robot is currently used in a temporary 20-month long exhibition at the EPFL. We present the hardware setup that was designed for the exhibition, and the type of interactions with the control system that allow visitors to influence the behavior of the robot. The exhibition is useful to test the robustness of the robot for long term use, and to demonstrate the suitability of the CPG-based approach for interactive control with a human in the loop.
This article is an extended version of an article presented at BioRob2006 the first IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics.

Keywords  Fish robot - Central pattern generator - Swimming - Crawling


Contact Information Alessandro Crespi (Corresponding author)
Email: alessandro.crespi@epfl.ch

Contact Information Daisy Lachat
Email: daisy.lachat@epfl.ch

Contact Information Ariane Pasquier
Email: ariane.pasquier@epfl.ch

Contact Information Auke Jan Ijspeert
Email: auke.ijspeert@epfl.ch

Alessandro Crespi  
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is a postdoctoral researcher at the Biologically Inspired Robotics Group (BIRG) at EPFL. He has a B.Sc./M.Sc. and Ph.D. in computer science from the EPFL. His research interests are in the field of biologically inspired amphibious robots. He is mainly working on the development of the electronics of the robots, and on the experiments to characterize their locomotion.
Daisy Lachat  
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obtained her M.Sc. in Microengineering in 2006 from the EPFL. She now works as development engineer in the industry.
Ariane Pasquier  
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obtained her M.Sc. in Computer Science in October 2007 from the EPFL. She now works as a Development Engineer at Swissquote Bank.
Auke Jan Ijspeert  
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is an assistant professor at the EPFL (the Swiss Federal Institute of Technology at Lausanne), and head of the Biologically Inspired Robotics Group (BIRG). He has a B.Sc./M.Sc. in physics from the EPFL, and a Ph.D. in artificial intelligence from the University of Edinburgh. His research interests are at the intersection between robotics, computational neuroscience, nonlinear dynamical systems, and applied machine learning. He is interested in using numerical simulations and robots to get a better understanding of sensorimotor coordination in animals, and in using inspiration from biology to design novel types of robots and adaptive controllers. With his colleagues, he has received the Best Paper Award at ICRA2002, the Industrial Robot Highly Commended Award at CLAWAR2005, and the Best Paper Award at the IEEE-RAS Humanoids 2007 conference. He was the Technical Program Chair of 5 international conferences (BioADIT2004, SAB2004, AMAM2005, BioADIT2006, LATSIS2006), and has been a program committee member of over 30 conferences.
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