Skip to main content

Modelling and Trajectory Planning for a Four Legged Walking Robot with High Payload

  • Conference paper
Social Robotics (ICSR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7621))

Included in the following conference series:

Abstract

This paper illustrates the development of a new four legged walking machine. The robot is characterized by a high payload capacity; the result has been achieved according to the specific design of its actuation system, integrating novel high precision actuators, and to its legs, composed by a new family of parallel mechanisms characterized by an appreciable dexterity. With respect to the common walking robot, the particular design of the hydraulic cylinders does not let neglect the weight of the legs in terms of static stability. Hence, a strategy to optimize the whole robot behaviour has been developed. More specifically, the modelling operation and the simulations performed to optimize some quasi-static tasks have been analysed. The optimization process employs a Global Search Algorithm that provides the best results in terms of Stable Margin. The same optimization procedure has been applied with success to investigate the robot walking gait.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Garcia, E., Jimenez, A.M., Gonzales De Santos, P., Armada, M.: The Evolution of Robotics Research. IEEE Robotics and Automation Magazine 14(1), 91–103 (2007)

    Article  Google Scholar 

  2. Raibert, M., Blankespoor, K., Nelson, G., Playter, R.: The Big Dog Team: BigDog, the Rough-Terrain Quadruped Robot. In: 17th World Congress of the International Federation of Automatic Control, Seoul, Korea (2008)

    Google Scholar 

  3. Semini, C., Tsagarakis, N.G., Guglielmino, E., Caldwell, D.G.: Design and experimental evaluation of the hydraulically actuated prototype leg of the HyQ robot. In: International Conference on Intelligent Robots and Systems (IROS), Taipei, pp. 3640–3645 (2010)

    Google Scholar 

  4. Song, S.M., Waldron, K.J.: Machines that Walk: The Adaptive Suspension Vehicle. The MIT Press, Cambridge (1989)

    Google Scholar 

  5. Khalil, W., Dombre, E.: Modelling, identification and control of robots. Hemès Penton, London (2002)

    MATH  Google Scholar 

  6. Muraro, A., Chevallereau, C., Aoustin, Y.: Optimal trajectories for a quadruped robot with trot, amble and curvet gaits for two energetic criteria. Multibody System Dynamics 9, 39–62 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  7. Ugray, Z., Lasdon, L., Plummer, J., Glover, F., Kelly, J., Marti, R.: Scatter search and local nlp solvers: A multistart framework for global optimization. Journal on Computing 19(3), 328–340 (2007)

    MathSciNet  MATH  Google Scholar 

  8. McGhee, R., Frank, A.: On the stability properties of quadruped creeping gaits. Mathematical Biosciences 3, 331–351 (1968)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gagliardini, L., Tian, X., Gao, F., Qi, C., Chevallereau, C., Zhao, X. (2012). Modelling and Trajectory Planning for a Four Legged Walking Robot with High Payload. In: Ge, S.S., Khatib, O., Cabibihan, JJ., Simmons, R., Williams, MA. (eds) Social Robotics. ICSR 2012. Lecture Notes in Computer Science(), vol 7621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34103-8_56

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34103-8_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34102-1

  • Online ISBN: 978-3-642-34103-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics