Neural virtual sensors for terrain adaptation of walking machines

Journal of Robotic Systems

Volumn 22, Issue 6, 2005, Pages 299-311

  Estremera, J ^a   Gonzalez de Santos, P ^a   Lopez Orozco J A ^b  

^a Consejo Superior de Investigaciones Científicas   (Spain)

^b UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

FORCE MEASUREMENT; NEURAL NETWORKS; SENSORS; SERVOMECHANISMS; STATE ESTIMATION;

TERRAIN ADAPTATION; VIRTUAL SENSORS; WALKING MACHINES;

MOBILE ROBOTS;

EID: 20544463694     PISSN: 07412223     EISSN: None     Source Type: Journal    
DOI: 10.1002/rob.20066     Document Type: Article

References (23)

1. M.A. Jimenez, P. Gonzalez de Santos, and M.A. Armada, A four legged walking testbed, IFAC Workshop on Intelligent Autonomous Vehicles, April 1993, Hampshire, United Kingdom, pp. 8-13.
2. S. Hirose, S. Inoue, and K. Yoneda, The whisker sensor and the transmission of multiple sensor signals, Adv Robot 4:(2) (1990), 105-117.
3. A. Schneider and U. Schmucker, Adaptive six-legged platform for mounting and service operations, Proc Int Conf Climbing and Walking Robots, September 2000, Madrid, Spain, pp. 193-200.
4. T. Rossmann and F. Pfeiffer, Control of a pipe crawling robot, Conf Proc Biology and Technology of Walking, Euromech 375, March 1998, Munich, Germany, pp. 133-140.
5. P. Gonzalez de Santos, J.A. Galvez, J. Estremera, and E. Garcia, SILO4 - A true waling robot for the comparative study of walking machine techniques, IEEE Robot Automa Mag 10:(4) (2003), 23-32.
6. C. Riddeström, J. Ingvast, F. Hardarson, M. Gudmundsson, M. Hellgreen, J. Wikander, T. Wadden, and H. Rehbinder, The basic design of the quadruped robot warpl, Proc Int Conf Climbing and Walking Robots, September 2000, Madrid, Spain, pp. 87-94.
7. J. Grieco, M. Prieto, M. Armada, and P. Gonzalez de Santos, A six-legged climbing robot for high payloads, IEEE Int Conf on Control Applications, September 1998, Trieste, Italy, pp. 446-450.
8. V. Kepplin and K. Berns, A concept for walking behavior in rough terrain, Proc Int Conf Climbing and Walking Robots, September 1999, Portsmouth, UK, pp. 509-515.
9. R.C. Luo, K.L. Su, and S.H.H. Phang, The development of intelligent control system for animal robot using multisensor fusion, Sensor Fusion Challenges and Applications in Emerging Technologies, August 2001, Baden-Baden, Germany.
10. M. Shimizu, T. Tawara, Y. Okumura, T. Furuta, and H. Kitano, A sensor fusion algorithm and a sensor management mechanism for the compact humanoid morph with numerous sensors, Proc Int Conf Climbing and Walking Robots, September 2002, Paris, France, pp. 279-285.
11. P. Gonzalez de Santos, E. Garcia, J. Estremera, and M.A. Armada, Silo6: Design and configuration of a legged robot for humanitarian demining, IARP Workshop on Robots for Humanitarian Demining, November 2002, Vienna, Austria, pp. 21-26.
12. E. Garcia, P. Gonzalez de Santos, and C. Canudas de Wit, Velocity dependence in the cyclic friction arising with gears, Int J Robot Res 1:(9) (2002), 761-771.
13. N. Wickström, M. Taveniku, M. Linde, A. Larsson, and B. Svensson, Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks, Proc of IEEE Conference on Intelligent Transportation Systems (ITSC'97), November 1997, Boston, MA.
14. M.H. Masson, S. Canu, and Y. Grandvalet, Software sensor design based on empirical data, Ecol Model 120 (1999), 131-139.
15. N. Valentin and T. Denoeux, A neural network-based software sensor for coagulation control in a water treatment plant, Intelli Data Analy 5 (2001), 23-39.
16. R. Leal, P. Butler, P. Lane, and P. Payne, Data fusion and artificial neural networks for biomass estimation, IEEE Proc: Science, Measurement and Technology, Vol. 144, March 1997, Gatlimburg, TN, pp. 69-72.
17. E. Hanzevack, T. Long, C. Atkinson, and M. Traver, Virtual sensors for spark ignited engines using neural networks, Proc of the American Controls Conference, June 1997, Albuquerque, NM.
18. S. Ablameyko, L. Goras, M. Gori, and V. Piuri, Neural networks for instrumentation mesurement and related industrial applications, 3, vol. 185, IOS, Amsterdam, 2003.
19. J.W. Hines, R.E. Uhrig, and J.D. Wrest, Use of autoassociative neural networks for signal validation, J Intelli Robot Syst 21 (1998), 143-154.
20. J.Q. Yuan and P.A. Vanrollehghem, One step ahead product predictor for profit optimization of penicillin fermentation, Proc FAC Conference on Computer Applications in Biotechnology, May 1998, Osaka, Japan, pp. 183-188.
21. J. Estremera and P. Gonzalez de Santos, Free gaits for quadruped robots over irregular terrain, Int J Robot Res 21:(2) (2002), 115-130.
22. The Math Works Inc., Natick, MA, Neural network toolbox user's manual, 1992.
23. M.T. Hagan, H.B. Demunth, and M.H. Beale, Neural network design, PWS, Boston, MA, 1996.