Learning to Pick by Digging: Data-Driven Dig-Grasping for Bin Picking from Clutter

Author:

Zhao Chao1,Tong Zhekai1,Rojas Juan2,Seo Jungwon3

Affiliation:

1. The Hong Kong University of Science and Technology,Electronic and Computer Engineering Department

2. The Hong Kong University of Science and Tech-nology,Mechanical and Aerospace/Electronic and Computer Engineering Department

3. Chinese University of Hong Kong,Mechanical and Automation Engineering Department

Funder

NSF of China

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Collision-Aware Cable Grasping Method in Cluttered Environment;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. DenseTact-Mini: An Optical Tactile Sensor for Grasping Multi-Scale Objects From Flat Surfaces;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. ERRA: An Embodied Representation and Reasoning Architecture for Long-Horizon Language-Conditioned Manipulation Tasks;IEEE Robotics and Automation Letters;2023-06

4. Learn to Grasp Via Intention Discovery and Its Application to Challenging Clutter;IEEE Robotics and Automation Letters;2023-02

5. RubikCell: Toward Robotic Cellular Warehousing Systems for E-Commerce Logistics;IEEE Transactions on Engineering Management;2023

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