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Table 3: Gait motions for controlling walking speed

in Psychological model for animating crowded pedestrians
by Takeshi Sakuma, Tomohiko Mukai, Shigeru Kuriyama 2005
Cited by 2

Table 1. Gait parameters

in unknown title
by unknown authors 1999
"... In PAGE 2: ... The horizontal velocity of the body is controlled only during the double support phase. The gait and virtual component parameters which affect the walking pattern and performance of the planar biped are summarized in Table1 and Table 2 respectively. The virtual forces for both the single and the double support phases are transformed into the joint space using the equations derived in [4,5].... ..."
Cited by 10

TABLE I PHASE LAGS NECESSARY TO PRODUCE WALKING GAITS IF A CHAIN OF FOUR OSCILLATORS IS CONNECTED TO THE MOTORS THAT DRIVE THE LEGS OF A ROBOT AS DESCRIBED IN THE TEXT.

in Neuromorphic walking gait control
by Susanne Still, Rodney J. Douglas 2006
Cited by 1

Table 2. Measured SSM for hexapod and quadruped A similar response for the three PCRG algorithms can be appreciated. The addition of the control loop increased noticeably the robot stability margin. Also, for higher support factors the SSM increased as should be expected in the geometric model. It must be noticed that replacing the FFNN in the previous model, by the parametric description of the leg trajectory, the synthesized walking patterns do not exhibit any undesired vibration. For simulated and real conditions, the quadruped robot was able to walk over a terrain with a low slope in a case, and with uneven weight distribution for the other. In both cases the measured SSM was improved by using BFP reference generator.

in Gait Synthesis in Legged Robot Locomotion using a CPG-Based Model
by P. Estévez, J. C. Grieco, W. Medina-meléndez
"... In PAGE 15: ...2 Experimental Results Using the model previously described it is possible to synthesize several gait modes for both simulated and real quadrupeds, and for a simulated hexapod. The performance of the model for the SSM values using different PCRG as control references can be evaluated in Table2... ..."

Table 1 Fitness and maximum speed of the evolved walking controllers

in From Lampreys to Salamanders: Evolving Neural Controllers for Swimming and Walking
by Auke Jan Ijspeert, John Hallam, David Willshaw
"... In PAGE 7: ... After 40 generations, all runs converged to control- lers able to produce a walking gait with the speed of motion dependent on the level of excitation. The tness and the maximum speed of the ttest solutions of each run are given in Table1 . All evolved controllers use all four limbs for locomotion, except the controller of run 4 which uses only the hindlimbs (which explains its low tness value).... ..."

TABLE 2. Conductance responses to electrical stimulation of the lateral geniculate nucleus

in Orientation Tuning of Input Conductance, Excitation, and Inhibition in Cat Primary Visual Cortex
by Jeffrey S. Anderson, Matteo Carandini, David Ferster 2000
Cited by 27

TABLE 2. Conductance responses to electrical stimulation of the lateral geniculate nucleus

in Orientation Tuning of Input Conductance, Excitation, and Inhibition in Cat Primary Visual Cortex
by Jeffrey S. Anderson, Matteo Carandini, David Ferster, Jeffrey S, Matteo Car, David Ferster Orientation 2000
Cited by 27

Table 2.4: Electrical stimulations of the prelunate gyrus

in INVOLVEMENT OF MIDDLE TEMPORAL AREA (MT) IN THE PROCESSING OF CHROMATIC MOTION -- EVIDENCE FROM ELECTROPHYSIOLOGICAL, PSYCHOPHYSICAL, AND OCULOMOTOR EXPERIMENTS
by Igor Riecansky

TABLE I ROBOT CHARACTERISTICS AS USED IN THE SIMULATION FOR THE CONTINUOUS GAIT

in unknown title
by unknown authors 2006
Cited by 3

TABLE II ROBOT CHARACTERISTICS AS USED IN THE SIMULATION FOR THE TRIGGERED GAIT

in unknown title
by unknown authors 2006
Cited by 3
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