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simmediumgraspingmetric · varies
A Benchmarking Study of Vision-Based Robotic Grasping Algorithms: A Comparative Analysis
Description
We present a benchmarking study of vision-based robotic grasping algorithms and provide a comparative analysis. In particular, we compare two machine-learning-based and two analytical algorithms using an existing benchmarking protocol from the literature and determine the algorithms strengths and weaknesses under different experimental conditions. These conditions include variations in lighting, background textures, cameras with different noise levels, and grippers. We also run analogous experim