156 research outputs found
Motion planning for mobile manipulator with keeping manipulability
Our research goal is to realize a motion planning for an intelligent mobile manipulator. To plan a mobile manipulator's motion, it is popular that the base robot motion is regarded as manipulator's extra joints, and the whole system is considered as a redundant manipulator. In this case, the locomotion controller is a part of the manipulator controller. However, it is difficult to implement both controllers as one controller, in our implementation experience, because of difference of actuators' character. In this research, we focus on a path planning algorithm for a mobile base with keeping manipulability at the tip of the mounted manipulator. In this case, the locomotion controller is independent from the manipulator controller, and a cooperative motion is realized by a communication between both controllers. In this paper, we propose a motion planning algorithm for a mobile manipulator, and report several experimental results. </p
Random phase-free kinoform for large objects
We propose a random phase-free kinoform for large objects. When not using the
random phase in kinoform calculation, the reconstructed images from the
kinoform are heavy degraded, like edge-only preserved images. In addition, the
kinoform cannot record an entire object that exceeds the kinoform size because
the object light does not widely spread. In order to avoid this degradation and
to widely spread the object light, the random phase is applied to the kinoform
calculation; however, the reconstructed image is contaminated by speckle noise.
In this paper, we overcome this problem by using our random phase-free method
and error diffusion method
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