Skip to main content
Log in

Scale effect mechanism research of insect-imitating hexapod robot

  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

Abstract

The scale parameter is one of the key factors which influence the structure and locomotion characteristics of the legged robot. The scale effect mechanism of animals in nature was revealed, and the influence of scale parameters on animal was analyzed. This paper establishes a dynamic model of insect-imitating hexapod robot. A high-fidelity simulation platform for hexapod robot was established based on Vortex, and the foot-ground interaction mechanics model was established and applied to the developed simulation platform. Based on the existing six-legged robot prototype, the validity of the relevant model and the fidelity of the simulation platform are verified. The influence of a robot’s mass and characteristic size on its feature locomotion was analyzed. The foot force rises with the increase of the whole robot mass, and the foot force of the unit robot mass decreases with the increase of the whole robot mass, eventually tending to a fixed value. The maximum joint torque rises with the increase of the whole robot mass. The system power rises with the increase of the whole robot mass, but the system power of unit robot mass is basically a constant value. The peak system power decreases with the increase of the distance between the front and the rear leg, and the joint torque rises with the increase of the distance between the front and rear leg. The related research results have guiding significance and reference value for the system design of hexapod robots.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. A. J. Ljspeert, Biorobotics: Using robots to emulate and investigate agile locomotion, Science, 346 (6206) (2014) 196–203.

    Article  Google Scholar 

  2. M. L. Hunt, Robotic walking in the real world, Science, 339 (6126) (2013) 1389–1390.

    Article  Google Scholar 

  3. A. A. Biewener, Biomechanical consequences of scaling, The J. of Experimental Biology, 208 (9) (2005) 1665–1676.

    Article  Google Scholar 

  4. N. C. Heglund and C. R. Taylor, Speed, stride frequency and energy cost per stride: How do they change with body size and gait?, J. of Experimental Biology, 138 (1)(1988) 301–318.

    Google Scholar 

  5. M. N. Scholz, M. F. Bobbert and A. J. Knoek Van Soest, Scaling and jumping: Gravity loses grip on small jumpers, J. of Theoretical Biology, 240 (4) (2006) 554–561.

    Article  MathSciNet  Google Scholar 

  6. R. E. Blanco and R. Gambini, A biomechanical model for size, speed and anatomical variations of the energetic costs of running mammals, J. of Theoretical Biology, 241 (1) (2006) 49–61.

    Article  MathSciNet  Google Scholar 

  7. H. M. Herr, G. T. Huang and T. A. McMahon, A model of scale effects in mammalian quadrupedal running, J. of Experimental Biology, 205 (7) (2002) 959–967.

    Google Scholar 

  8. V. B. Kokshenev, Key principle of the efficient running, swimming, and flying, EPL (Europhysics Letters), 90 (4) (2010) 48005.

    Article  Google Scholar 

  9. A. Bejan and J. H. Marden, Unifying constructal theory for scale effects in running, swimming and flying, J. of Experimental Biology, 209 (2) (2006) 238–248.

    Article  Google Scholar 

  10. R. Mcn. Alexander, Models and the scaling of energy costs for locomotion, J. of Experimental Biology, 208 (9) (2005) 1645–1652.

    Article  Google Scholar 

  11. P. Chatzakos and E. Papadopoulos, The influence of DC electric drives on sizing quadruped robots, Proc. of the IEEE International Conference on Robotics and Automation, Pasadena, CA, USA (2008) 793–798.

    Google Scholar 

  12. Z. Q. Deng et al., On the segment length ratio of the walking leg of a hydraulically actuated hexapod robot, Robot, 36 (5) (2014) 544–551.

    Google Scholar 

  13. R. L. Marsh et al., Partitioning the energetics of walking and running: Swinging the limbs is expensive, Science, 303 (5654) (2004) 80–83.

    Article  Google Scholar 

  14. Z. Q. Deng et al., Motion planning and simulation verification of a hydraulic hexapod robot based on reducing energy/flow consumption, J. of Mechanical Science and Technology, 29 (10) (2015) 4427–4436.

    Article  Google Scholar 

  15. K. An et al., Energetic walking gaits studied by a simple actuated inverted pendulum model, J. of Mechanical Science and Technology, 32 (5) (2018) 2273–2281.

    Article  Google Scholar 

  16. H. B. Gao et al., A real-time, high fidelity dynamic simulation platform for hexapod robots on soft terrain, Simulation Modelling Practice and Theory, 68 (2016) 125–145.

    Article  Google Scholar 

  17. L. Ding et al., Foot-terrain interaction mechanics for legged robots: Modeling and experimental validation, The International J. of Robotics Research, 32 (13) (2013) 1585–1606.

    Article  Google Scholar 

  18. G. Carbone and E. Pierro, A review of adhesion mechanisms of mushroom-shaped microstructured adhesives, Meccanica, 48 (8) (2013) 1819–1833.

    Article  MATH  Google Scholar 

  19. L. Afferrante, G. Grimaldi, G. Demelio and G. Carbone, Direction-dependent adhesion of micro-walls based biomimetic adhesives, International J. of Adhesion and Adhesives, 61 (2015) 93–98.

    Article  Google Scholar 

  20. X. Y. Hou et al., Adhesion mechanism of space-climbing robot based on discrete element and dynamics, Advances in Mechanical Engineering, 10 (4) (2018) 1–15.

    Article  Google Scholar 

  21. Y. H. Liu and T. W. Seo, AnyClimb-II: Dry-adhesive linkage-type climbing robot for uneven vertical surfaces, Mechanism and Machine Theory, 124 (2018) 197–210.

    Article  Google Scholar 

  22. M. Spenko et al., Foot design and integration for bioinspired climbing robots, Spie Proceedings of Unmanned Systems Technology Viii, 6230 (2006) 623019.

    Article  Google Scholar 

  23. M. Dadkhah, D. Ruffatto, Z. Zhao and M. Spenko, Increasing adhesion via a new electrode design and improved manufacturing in electrostatic/microstructured adhesives, J. of Electrostatics, 91 (2018) 48–55.

    Article  Google Scholar 

  24. J. Nishii, An analytical estimation of the energy cost for legged locomotion, J. of Theoretical Biology, 238 (3) (2006) 636–645.

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgments

This work was supported by National Natural Science Foundation of China (51705097), Postdoctoral Science Foundation of China (2017M621258), Self-Planned Task of State Key Laboratory of Robotics and System (HIT) (SKLRS20 1803C), Scientific Research Foundation of Harbin Institute of Technology at Weihai (HIT(WH)201601), and Scientific Research Innovation Foundation of HIT(WH).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Liang Ding.

Additional information

Recommended by Associate Editor Hugo Rodrigue

Yiqun Liu is a lecturer at School of Automotive Engineering, Harbin Institute of Technology at Weihai, China. He received his Ph.D. at Harbin Institute of Technology, China, in 2016. His research interests include intelligent mobile robots and special vehicles.

Hao Li, born in 1994, is a graduate student at School of Automotive Engineering, Harbin Institute of Technology at Weihai, China. He received his B.S. from Anhui University of Technology, China, in 2017. His research interests include design and simulation of hexapod robots.

Jianfeng Wang, born in 1980, is an Associate Professor at School of Automotive Engineering, Harbin Institute of Technology at Weihai, China. He received his Ph.D. degree at Harbin Institute of Technology, China, in 2018. His research interests include special vehicles and robotics.

Liang Ding is currently a Professor and a Ph.D. candidate Supervisor at Harbin Institute of Technology, China. He received his Ph.D. from Harbin Institute of Technology, China, in 2010. His research interests include mechanics, control and simulation of mobile robots.

Tao Liu is currently a Professor at School of Automotive Engineering, Harbin Institute of Technology at Weihai, China. He received his Ph.D. from Harbin Institute of Technology, China, in 2010. His research interests include special vehicles and robotics.

Haibo Gao is currently a Professor and a Ph.D. candidate Supervisor at Harbin Institute of Technology, China. He received his Ph.D. from Harbin Institute of Technology in 2003. His research interests include mobile robots, aerospace mechanism and control.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, Y., Li, H., Wang, J. et al. Scale effect mechanism research of insect-imitating hexapod robot. J Mech Sci Technol 33, 2873–2882 (2019). https://doi.org/10.1007/s12206-019-0535-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-019-0535-3

Keywords

Navigation