kidpaul94/My-Robotic-Grasping
Collection of Papers related to CV- & Geometry-based 6DOF Robotic Grasping
This resource curates a collection of academic papers focused on advanced robotic grasping. It compiles research on how robots can accurately detect and orient themselves to pick up objects in 3D space, primarily using computer vision and geometric methods. Robot perception and manipulation engineers will find this useful for staying updated on the latest deep learning approaches.
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Use this if you are an robotics engineer or researcher looking for a categorized overview of current academic work on 6-degrees-of-freedom object pose estimation and grasp pose detection.
Not ideal if you are looking for ready-to-use code, tutorials, or practical implementation guides for robotic grasping systems.
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Jan 24, 2025
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