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As there come to be more applications of intelligent robots, their task object is becoming more varied. However, it is still a challenge for a robot to handle unfamiliar objects. We review the recent work on the feature sensing and robotic grasping of objects with uncertain information. In particular, we focus on how the robot perceives the features of an object, so as to reduce the uncertainty of objects, and how the robot completes object grasping through the learning-based approach when thedoi:10.3390/s20133707 pmid:32630755 pmcid:PMC7374444 fatcat:rcgkqwlgqrdv7h5mhovv5m5xdu