Using Bio-Inspiration to Improve Capabilities of Underwater Vehicles

There are over 750,000 marine species ranging in size from a few micrometers to dozens of meters, all of which, through the natural process of evolution, have arrived at “successful” solutions to surviving and operating in the ocean space. Many of these species have capabilities and functionality which have much in common with the engineered capabilities required for underwater vehicles e.g. propulsion/locomotion, manoeuvrability/agility and the ability & resilience to operate at depth. Indeed, in many examples, it appears the biological solutions exhibit superior performance compared to the technological alternative, yet in biology these capabilities are achieved by different and diverse means. In this research an extensive study on the capabilities of marine animals has been conducted in relation to the equivalent capability on AUVs. And the biological solutions to propulsion, agility, depth and vehicle (or animal) architecture have been focused on. This paper will present the approach adopted, some specific studies and key results from using a bio-inspired approach to improving AUV engineering capabilities. Acknowledgments This research is part of a collaborative project, “Nature in Engineering for Monitoring the Oceans” (NEMO), including the National Oceanography Centre and the University of Southampton and is funded by the Engineering and Physical Sciences Research Council (EPSRC, 2009). The authors would like to acknowledge that the data collected on AUV characteristics and capabilities has been a collaborative work with NEMO colleagues in the University of Southampton.

[1]  B. Pelster,et al.  Buoyancy Control in Aquatic Vertebrates , 2009 .

[2]  Clifford Funnell Jane's underwater technology , 1998 .

[3]  A. Hoelzel,et al.  Marine mammal biology : an evolutionary approach , 2002 .

[4]  Alan J. Murphy,et al.  Nature in engineering for monitoring the oceans: comparison of the energetic costs of marine animals and AUVs , 2012 .

[5]  Graham,et al.  STUDIES OF TROPICAL TUNA SWIMMING PERFORMANCE IN A LARGE WATER TUNNEL - KINEMATICS , 1994, The Journal of experimental biology.

[6]  Dawn P. Noren,et al.  Swimming speed, respiration rate, and estimated cost of transport in adult killer whales , 2009 .

[7]  Graham,et al.  STUDIES OF TROPICAL TUNA SWIMMING PERFORMANCE IN A LARGE WATER TUNNEL - ENERGETICS , 1994, The Journal of experimental biology.

[8]  F E Fish,et al.  Comparative kinematics and hydrodynamics of odontocete cetaceans: morphological and ecological correlates with swimming performance. , 1998, The Journal of experimental biology.

[9]  J Calambokidis,et al.  Sink or swim: strategies for cost-efficient diving by marine mammals. , 2000, Science.

[10]  Arjan P. Palstra,et al.  SIMULATED MIGRATION OF EUROPEAN SILVER EEL; SWIM CAPACITY AND COST OF TRANSPORT , 2007 .

[11]  Terrie M. Williams,et al.  SWIMMING METABOLISM OF YEARLING AND ADULT HARBOR SEALS PHOCA VITULINA ' , 2016 .

[12]  W. Davison,et al.  Energy equivalents of oxygen consumption in animal energetics , 1975, Oecologia.

[13]  Andrew Calway,et al.  Efficient visual odometry using a structure-driven temporal map , 2012, 2012 IEEE International Conference on Robotics and Automation.

[14]  Angela R. V. Rivera,et al.  Aquatic turning performance of painted turtles (Chrysemys picta) and functional consequences of a rigid body design , 2006, Journal of Experimental Biology.

[15]  Julian F. V. Vincent,et al.  Stealing Ideas from Nature , 2001 .

[16]  D. Scourzic,et al.  Interrelated functional topics concerning autonomy related issues in the context of autonomous inspection of underwater structures , 2005, Europe Oceans 2005.

[17]  Ryusuke Masuoka,et al.  World-Wide Web (WWW) , 1995 .

[18]  S. Leatherwood,et al.  Marine Mammals of the World : FAO species identification guide , 1994 .