Difference between revisions of "Vision-based Navigation and Manipulation"

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(Unknown Objects Grasping)
(Concept)
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* With a stereo vision(passive 3D sensor) and a Jaw-type hand, we studied a method for any unknown object grasping.
 
* With a stereo vision(passive 3D sensor) and a Jaw-type hand, we studied a method for any unknown object grasping.
 
* In the context of perception with only one-shot 3D image, three graspable directions such as lift-up, side and frontal direction are suggested, and an affordance-based grasp, handle graspable, is also proposed.
 
* In the context of perception with only one-shot 3D image, three graspable directions such as lift-up, side and frontal direction are suggested, and an affordance-based grasp, handle graspable, is also proposed.
 +
* https://www.youtube.com/watch?v=YVfTltLy2w0
 
* Our grasp directions are as follows:
 
* Our grasp directions are as follows:
 
::[[File:grasp directions.jpg|500px|left]]
 
::[[File:grasp directions.jpg|500px|left]]

Revision as of 20:38, 26 May 2016

Indoor Navigation

Concept

  • As a map representation, we proposed a hybrid map using object-spatial layout-route information.
  • Global localization is based on object recognition and its pose relationship, and our local localization uses 2D-contour matching by 2D laser scanning data.
  • Our map representation is like this:
Map-repres.jpg





















  • The Object-based global localization is as follows:
GL.jpg





























Related papers



Unknown Objects Grasping

Concept

  • With a stereo vision(passive 3D sensor) and a Jaw-type hand, we studied a method for any unknown object grasping.
  • In the context of perception with only one-shot 3D image, three graspable directions such as lift-up, side and frontal direction are suggested, and an affordance-based grasp, handle graspable, is also proposed.
  • https://www.youtube.com/watch?v=YVfTltLy2w0
  • Our grasp directions are as follows:
Grasp directions.jpg

















  • The schema of our whole grasping process is like this:
Grasp-sche.jpg














Related papers