Applied Bionics and Biomechanics (Jan 2018)

The Gait Design and Trajectory Planning of a Gecko-Inspired Climbing Robot

  • Xuepeng Li,
  • Wei Wang,
  • Shilin Wu,
  • Peihua Zhu,
  • Fei Zhao,
  • Linqing Wang

DOI
https://doi.org/10.1155/2018/2648502
Journal volume & issue
Vol. 2018

Abstract

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Inspired by the dynamic gait adopted by gecko, we had put forward GPL (Gecko-inspired mechanism with a Pendular waist and Linear legs) model with one passive waist and four active linear legs. To further develop dynamic gait and reduce energy consumption of climbing robot based on the GPL model, the gait design and trajectory planning are addressed in this paper. According to kinematics and dynamics of GPL, the trot gait and continuity analysis are executed. The effects of structural parameters on the supporting forces are analyzed. Moreover, the trajectory of the waist is optimized based on system energy consumption. Finally, a bioinspired robot is developed and the prototype experiment results show that the larger body length ratio, a certain elasticity of the waist joint, and the optimized trajectory contribute to a decrease in the supporting forces and reduction in system energy consumption, especially negative forces on supporting feet. Further, the results in our experiments partly explain the reasonability of quadruped reptile’s kinesiology during dynamic gait.