2006
DOI: 10.1016/j.robot.2005.10.007
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Analysing and solving body misplacement problems in walking robots with round rigid feet

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Cited by 18 publications
(8 citation statements)
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“…Even if no slip occurs, the contact point is constantly changing and the body CoM deviates from the desired trajectory as shown in Figure 3B and Supplementary Video S1 . This deviation is attributed to the ball foot-end effector roll as the body moves during the support phase ( Guardabrazo et al, 2006 ). In order to eliminate this modeling error, the required joint rotation angles need to be corrected to eliminate the mismatch between the point-foot model and ball foot ( Kwon and Park, 2014 ).…”
Section: Gait and Center Of Mass Trajectory Planning For Spinning Locomotionmentioning
confidence: 99%
“…Even if no slip occurs, the contact point is constantly changing and the body CoM deviates from the desired trajectory as shown in Figure 3B and Supplementary Video S1 . This deviation is attributed to the ball foot-end effector roll as the body moves during the support phase ( Guardabrazo et al, 2006 ). In order to eliminate this modeling error, the required joint rotation angles need to be corrected to eliminate the mismatch between the point-foot model and ball foot ( Kwon and Park, 2014 ).…”
Section: Gait and Center Of Mass Trajectory Planning For Spinning Locomotionmentioning
confidence: 99%
“…The leg mechanism is attached to the body via a root joint. Here, a semi-round foot with certain radius is used for its significant advantages in adapting to complex terrain [15]. Since the test rig is designed for the compliance control, horizontal and vertical rails with corresponding displacement sensors, a five-dimensional force sensor, and LPC2368-based motor controller are equipped.…”
Section: Mechanical Structure Of Walking Robotmentioning
confidence: 99%
“…3. In order to eliminate the influence of the spherical rigid foot on the position-orientation adjustment, spherical rigid feet are substituted by cuspate feet with the same dimensions (Guardabrazo et al 2006).…”
Section: Linear Tracking Simulationmentioning
confidence: 99%