2006 IEEE International Conference on Industrial Technology 2006
DOI: 10.1109/icit.2006.372326
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A Bipedal Locomotion Planning Based on Virtual Linear Inverted Pendulum Mode

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Cited by 11 publications
(10 citation statements)
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References 23 publications
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“…A few of these research studies include [22] which propose pattern generation by the preview control of the ZMP, [23] that are based on an assumption of a virtual supporting point, [24] - [25] which propose real-time trajectory generation based on analytic solutions and [26][27] deal with the algorithms on optimization gaits for improved dynamical stability and low energy cost. Furthermore, research studies [28] - [32] present real-time gait planning methods using generalized ZMP based pushing motion algorithms implemented on bipedal and humanoid robots to formulate adaptive locomotion for climbing and walking over a slope or an inclined floor using genetic algorithms, sensor fusion and visual information.…”
Section: Motion Planningmentioning
confidence: 99%
“…A few of these research studies include [22] which propose pattern generation by the preview control of the ZMP, [23] that are based on an assumption of a virtual supporting point, [24] - [25] which propose real-time trajectory generation based on analytic solutions and [26][27] deal with the algorithms on optimization gaits for improved dynamical stability and low energy cost. Furthermore, research studies [28] - [32] present real-time gait planning methods using generalized ZMP based pushing motion algorithms implemented on bipedal and humanoid robots to formulate adaptive locomotion for climbing and walking over a slope or an inclined floor using genetic algorithms, sensor fusion and visual information.…”
Section: Motion Planningmentioning
confidence: 99%
“…In the preview control approach, we need to solve the n-th order Riccati equation to calculate feedback gains and preview gains. In contrast to the ZPLPF approach, FIR-ZPLPF only needs to calculate the filter coefficient from the impulse response using (20), (21), and (22). The IIR-ZPLPF only needs to calculate the Tustin conversion of (27).…”
Section: F Comparison Of Cog Pattern Generation Methods 1) Design Costmentioning
confidence: 99%
“…Therefore, almost all 3D-WLMRs move statically and exhibit only adaptability. To obtain high mobility, the zero moment point (ZMP), which is generally used as a stability index for bipedal robots [18]- [20], is applied to the 3D-WLMR. It is anticipated that the ZMP-based 3D-WLMR will move faster and more stable than the conventional 3D-WLMR.…”
Section: Introductionmentioning
confidence: 99%
“…Recent major accomplishments include control design of under actuated robotic systems [115][116][117], mobile wheeled inverted pendulums [118][119][120][121] and gait pattern generation for bipedal and humanoid robots [122][123][124][125][126][127][128][129][130][131][132]. In most cases, the non linear control problem is based on finding a suitable reference trajectory obeying a certain criteria formulated as a constrained optimization problem (see [133] and [134] and references therein).…”
Section: Future Trends and Challengesmentioning
confidence: 99%