Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching
This paper presents a robotic pick-and-place system that is capable of grasping and recognizing both known and novel objects in cluttered environments. The key new feature of the system is that it handles a wide range of object categories without needing any task-specific training data for novel obj...
Main Authors: | , , , , , , , , , , , , , , , , , , , , |
---|---|
Other Authors: | , , |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2020-09-01T16:02:35Z.
|
Subjects: | |
Online Access: | Get fulltext |