Difference between revisions of "Vision-based Navigation and Manipulation"
From Robot Intelligence
Kistvision (Talk | contribs) (→Concept) |
Kistvision (Talk | contribs) (→Related papers) |
||
| (8 intermediate revisions by the same user not shown) | |||
| Line 2: | Line 2: | ||
==Concept== | ==Concept== | ||
* As a map representation, we proposed a hybrid map using object-spatial layout-route information. | * As a map representation, we proposed a hybrid map using object-spatial layout-route information. | ||
| − | * | + | * Our global localization is based on object recognition and its pose relationship, and the local localization uses 2D-contour matching by 2D laser scanning data. |
* Our map representation is like this: | * Our map representation is like this: | ||
::[[File:map-repres.jpg|600px|left]] | ::[[File:map-repres.jpg|600px|left]] | ||
| Line 13: | Line 13: | ||
==Related papers== | ==Related papers== | ||
| − | + | * S Park, ''Sung-Kee Park'', "Global localization for mobile robots using reference scan matching," International Journal of Control, Automation and Systems 12 (1), 156-168, 2014. | |
| − | + | * S Kim, H Cheong, DH Kim, ''Sung-Kee Park'', "Context-based object recognition for door detection," Advanced Robotics (ICAR), 2011 15th International Conference on, 155-160, 2011. | |
| + | * S Park, ''Sung-Kee Park'', "pectral scan matching and its application to global localization for mobile robots," Robotics and Automation (ICRA), 2010 IEEE International Conference on, 1361-1366. 2010. | ||
| + | * S Park, S Kim, M Park, ''Sung-Kee Park'', "Vision-based global localization for mobile robots with hybrid maps of objects and spatial layouts," Information Sciences 179 (24), 4174-4198, 2009. | ||
| + | <br/> | ||
=Unknown Objects Grasping= | =Unknown Objects Grasping= | ||
| Line 20: | Line 23: | ||
* 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. | ||
| + | * Our experimental movie clip : 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]] | |
| + | <br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/> | ||
* The schema of our whole grasping process is like this: | * The schema of our whole grasping process is like this: | ||
| + | ::[[File:grasp-sche.jpg|800px|left]] | ||
| + | <br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/> | ||
==Related papers== | ==Related papers== | ||
| + | *RK Ala, DH Kim, SY Shin, CH Kim, ''Sung-Kee Park'', A 3D-grasp synthesis algorithm to grasp unknown objects based on graspable boundary and convex segments," Information Sciences 295, 91-106, 2015 | ||
Latest revision as of 21:17, 26 May 2016
Contents
Concept
- As a map representation, we proposed a hybrid map using object-spatial layout-route information.
- Our global localization is based on object recognition and its pose relationship, and the local localization uses 2D-contour matching by 2D laser scanning data.
- Our map representation is like this:
- The Object-based global localization is as follows:
Related papers
- S Park, Sung-Kee Park, "Global localization for mobile robots using reference scan matching," International Journal of Control, Automation and Systems 12 (1), 156-168, 2014.
- S Kim, H Cheong, DH Kim, Sung-Kee Park, "Context-based object recognition for door detection," Advanced Robotics (ICAR), 2011 15th International Conference on, 155-160, 2011.
- S Park, Sung-Kee Park, "pectral scan matching and its application to global localization for mobile robots," Robotics and Automation (ICRA), 2010 IEEE International Conference on, 1361-1366. 2010.
- S Park, S Kim, M Park, Sung-Kee Park, "Vision-based global localization for mobile robots with hybrid maps of objects and spatial layouts," Information Sciences 179 (24), 4174-4198, 2009.
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.
- Our experimental movie clip : https://www.youtube.com/watch?v=YVfTltLy2w0
- Our grasp directions are as follows:
- The schema of our whole grasping process is like this:
Related papers
- RK Ala, DH Kim, SY Shin, CH Kim, Sung-Kee Park, A 3D-grasp synthesis algorithm to grasp unknown objects based on graspable boundary and convex segments," Information Sciences 295, 91-106, 2015
