Proceedings. 1988 IEEE International Conference on Robotics and Automation
DOI: 10.1109/robot.1988.12159
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A motion control scheme for a biped robot to climb sloping surfaces

Abstract: A scheme to enable a biped robot to climb sloping surfaces is proposed in this paper. By means of sensing devlces, namely position sensors on the joints and the force sensors underneath the heel and toe, a biped robot called SD-2 is able to detect the transition of the supporting terrain from a flat-floor to a sloping surface and enable the robot to walk on the slope.

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Cited by 13 publications
(8 citation statements)
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“…Meanwhile the stance leg is left free to rotate as an inverted pendulum, which, as we shall discuss, is a key element of passive walking. Similar techniques are used in biped walkers by Takanishi et al (1985), Lee and Liao (1988), and Zheng, Shen, and Sias ( 1988).…”
Section: Dynamics Vs Controlmentioning
confidence: 91%
“…Meanwhile the stance leg is left free to rotate as an inverted pendulum, which, as we shall discuss, is a key element of passive walking. Similar techniques are used in biped walkers by Takanishi et al (1985), Lee and Liao (1988), and Zheng, Shen, and Sias ( 1988).…”
Section: Dynamics Vs Controlmentioning
confidence: 91%
“…0, appoint V as the Lyapunov function of the system, for the collision has been avoided here, thus the system is conservative, then V = 0 . Seen from equation (11), the mechanical energy of the system is constant, this proves that the dynamic behaviour of the two legs can come to the state of anti-phase synchronization; expected ideal symmetry property appears here.…”
Section: Iiithe Introduction Of Anti-phase Synchronizationmentioning
confidence: 61%
“…Erasing the coupling and construct the same sub-system with the idea of "inverse dynamic control", then obtain a closed loop linear system. For the non-linear equations (2) of our biped, as the stance leg is about to leave the ground, the anti-phase control is induced to the equation with the form u = B '(M(q)a + C(q, q)q + g(q)) (3) Reduces the system to the decoupled double integrator system q =a (4) Joint angles can then be controlled independently using a control law a = -Kpq-Kdq+r We can choose the input r(t) as r = 4d (t) +K d (t) + K 4d (t) (7) The desired trajectory can be obtained as cubic trajectory as shown in [11] if the initial and final states of the trajectory are known. Thus a kind of synchronization can get with the walking trajectory and the given trajectory.…”
Section: Iiithe Introduction Of Anti-phase Synchronizationmentioning
confidence: 99%
“…The desired trajectory can be obtained as cubic trajectory as shown in [11] if the initial and final states of the trajectory are known. Thus a kind of synchronization can get with the walking trajectory and the given trajectory.…”
Section: Erasing the Couplingmentioning
confidence: 99%