GRAB benchmark shows object quality as the dominant factor in grasp success across gripper types, with physical interaction constraints causing most failures in cluttered food waste sorting.
Application of the vision-based deep learning technique for waste classification using the robotic manipulation system
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A Real-World Grasping-in-Clutter Performance Evaluation Benchmark for Robotic Food Waste Sorting
GRAB benchmark shows object quality as the dominant factor in grasp success across gripper types, with physical interaction constraints causing most failures in cluttered food waste sorting.