Proceedings of 2012 IEEE/ASME 8th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications 2012
DOI: 10.1109/mesa.2012.6275544
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Study of the Foot Force Stability Margin for multi-legged/wheeled robots under dynamic situations

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Cited by 14 publications
(7 citation statements)
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“…With the assumption of sufficient friction to prevent slippage and non-collinear foot distribution, n i=1 R i = 0, the normal foot forces, f i , provide sufficient information to determine the stability of the system. According to previous discussion, a spatial multilegged walking robot with n supporting legs (n 3) is defined to be dynamically stable at time t, if and only if, there are at least three legs with strictly positive normal foot forces (f i > 0) at time t [23,24]. This definition provides a quick measurable method for determining the stability of the system.…”
Section: Foot Force Based Reactive Stability Strategymentioning
confidence: 99%
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“…With the assumption of sufficient friction to prevent slippage and non-collinear foot distribution, n i=1 R i = 0, the normal foot forces, f i , provide sufficient information to determine the stability of the system. According to previous discussion, a spatial multilegged walking robot with n supporting legs (n 3) is defined to be dynamically stable at time t, if and only if, there are at least three legs with strictly positive normal foot forces (f i > 0) at time t [23,24]. This definition provides a quick measurable method for determining the stability of the system.…”
Section: Foot Force Based Reactive Stability Strategymentioning
confidence: 99%
“…The stability margin should also be able to present a quantitative stability extent which measures how close or far the robot is to the unstable or the maximum stable state. Hence, the FFSM [23], revisited in Section 3.2, is used since it only requires the measured normal foot/ground contact forces of the robot and provides a margin between zero and one which refer to the instability threshold and the maximum stability state of the robot, respectively. The conciseness and sensitivity of the FFSM make it efficient for use in an on-line and real-time controller to measure and predict the stability level of the system.…”
Section: Stability Metricmentioning
confidence: 99%
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“…To generate crawling gait on the basis of the static stability, Hirose et al [26] suggested diagonal principle. Agheli and Nestinger studied the foot force stability margin for the multi-legged wheeled robots under dynamic conditions [27]. Moreover, in many instances, the workspace and stability of robots were studied separately.…”
Section: Introductionmentioning
confidence: 99%