Data-driven robotic visual grasping detection for unknown objects: A problem-oriented review

作者：

Highlights：

• Review of data-driven robotic grasping detection algorithms for unknown objects.

• Review of problems and algorithms from object-oriented and scene-oriented aspects.

• Review of commonly used robotic grasping detection representations and datasets.

• Discussion of related challenges and future directions.

摘要

•Review of data-driven robotic grasping detection algorithms for unknown objects.•Review of problems and algorithms from object-oriented and scene-oriented aspects.•Review of commonly used robotic grasping detection representations and datasets.•Discussion of related challenges and future directions.

论文关键词：Data-driven methods,Robotic visual grasping,Grasping detection,Computer vision

论文评审过程：Received 15 November 2021, Revised 25 June 2022, Accepted 16 August 2022, Available online 31 August 2022, Version of Record 9 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118624