Cornell

The Cornell dataset is a benchmark used to evaluate robotic grasping methods, containing data that supports the assessment of grasp success rates and generalization abilities in deep learning approaches.

Papers using Cornell (3)

Research and Analysis of Robot Grasping Deep Learning: From End-to-End Model to Pre Training Foundation2026VLAD-Grasp: Zero-shot Grasp Detection via Vision-Language Models2025MTF-Grasp: A Multi-tier Federated Learning Approach for Robotic Grasping2025