Few-experiential learning system of robotic picking task with selective dual-arm grasping
Author:
Affiliation:
1. Graduate School of Information Science and Technology, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
2. Dyson Robotics Laboratory, Imperial College London, South Kensington, London, UK
Publisher
Informa UK Limited
Subject
Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/01691864.2020.1783352
Reference24 articles.
1. Analysis and Observations From the First Amazon Picking Challenge
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3. Hernandez C, Bharatheesha M, Ko W. Team delft's robot winner of the amazon picking challenge 2016. Robocup 2016: Robot world cup xx; Cham: Springer International Publishing; 2017. p. 613–624.
4. Zeng A, Yu K, Song S. Multi-view self-supervised deep learning for 6d pose estimation in the amazon picking challenge. Proceedings of 2017 ieee international conference on robotics and automation (icra); IEEE; 2017 May. p. 1386–1383.
5. Morrison D, Tow AW, McTaggart M. The low-cost cartesian manipulator that won the amazon robotics challenge. Proceedings of 2018 ieee international conference on robotics and automation (icra); IEEE; 2018 May. p. 7757–7764.
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