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Thus, it is suitable for online implementation to generate optimal 0 nearoptimal gaits.
Therefore, in lower-geared gaits stability is not the main control on locomotion as a large range of phase differences are feasible.
The use of statically stable gaits enables their control to be simplified.
Different gaits exhibit different kinematic and dynamic behaviors, which are crucial to the application environment.
The walking robot model includes the trajectory planning, for several different periodic walking gaits, the kinematics and the dynamics.
In quadruped gaits, two legs are always in the transfer phase.
First law helped in stabilizing (asymptotically) from the quasi-periodic gaits to periodic gaits of arbitrary period.
The body is supported by three legs during the key phases of these two gaits.
The optimal gaits are experimentally realized on a biped robot.
There are lots of successful results, but the gaits seem not to be so natural.
In this perspective, there is not any difference between the locomotion gaits since they present similar curves having only a different phase.
Addressing this classic conjecture with experiments requires comparing walking and running with many other strange and unpractised gaits.
Several different gaits have been researched from different legged animals to determine the simplest technique to maneuver the hexapod mobile robot.
A number of these "accidents of nature" were discovered in various laboratories in mice displaying distinctive gaits or abnormal brain growth.
Design of a genetic-fuzzy system for planning crab gaits of a six-legged robot.