2010
DOI: 10.1007/s10514-010-9201-4
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High-speed and energy-efficient biped locomotion based on Virtual Slope Walking

Abstract: In our previous work, we have presented results on Virtual Slope Walking, that is when a robot walks on level ground down a virtual slope by leg length modulation, based on the potential energy restoration in Passive Dynamic Walking. In this paper, we introduce the model of Virtual Slope Walking with Trajectory Leg Extension (TLE) and equivalent Instantaneous Leg Extension (ILE) under the Equivalent Definition. The analytic solution of the model's fixed point is obtained to analyze the essence of Virtual Slope… Show more

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Cited by 23 publications
(6 citation statements)
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References 29 publications
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“…al. [16] suggested an elegant open-loop gait generation technique inspired by passive walking down a shallow slope. This approach creates a virtual downwards slope by shortening the swing leg before support exchange and recharging energy by extending the leg again during the support phase.…”
Section: Related Workmentioning
confidence: 99%
“…al. [16] suggested an elegant open-loop gait generation technique inspired by passive walking down a shallow slope. This approach creates a virtual downwards slope by shortening the swing leg before support exchange and recharging energy by extending the leg again during the support phase.…”
Section: Related Workmentioning
confidence: 99%
“…In table 1 [15], we list the energy efficiency of some other models both passive and active, and also that of human being. We can see that the energy efficiency of Passive Dynamic Walking is almost equal to that of human being.…”
Section: A the Parameters' Influence On Energy Efficiencymentioning
confidence: 99%
“…Collins and Ruina built the 'Cornell biped' by using ankle push-off to provide power [9]. Asano [10], Dong Hao [11] and Xiaoyue Zhang [12] powered the robots by increasing their gravity potential energy in each step. The 'Stepper 2D' based on the 'virtual slope walking' method achieved the maximum relative speed of 4.48 leg/s [11].…”
Section: Introductionmentioning
confidence: 99%