Team Applied Robotics: A closer look at our robotic picking system
Wim Abbeloos, Fabian Gouwens, Simon Jansen, Berend Küpers, Maurice Ramaker, Toon Goedemé
- 发表年份
- 2017
- 访问权限
- 开放获取
摘要
This paper describes the vision based robotic picking system that was developed by our team, Team Applied Robotics, for the Amazon Picking Challenge 2016. This competition challenged teams to develop a robotic system that is able to pick a large variety of products from a shelve or a tote. We discuss the design considerations and our strategy, the high resolution 3D vision system, the use of a combination of texture and shape-based object detection algorithms, the robot path planning and object manipulators that were developed.
关键词
相关论文
面向大型复杂构件的移动机器人辅助磨削技术综述
Yusen Li, Ziwei Wang, Xiangye Zhu 等 12 位作者
Robotics and Computer-Integrated Manufacturing · 2026
基于物理信息与机器学习的五轴铣削TC4钛合金刀具磨损融合预测模型
Shaoqing Qin, Lida Zhu, Yanpeng Hao 等 10 位作者
Robotics and Computer-Integrated Manufacturing · 2026
通过新型压电主动阻尼刀柄提升机器人铣削质量
Bo Li, Yuanbo Zhao, Huijie Xiao 等 6 位作者
Robotics and Computer-Integrated Manufacturing · 2026
一种利用磁致非线性宽带多向被动减振器抑制机器人铣削低频颤振的新方法
Hao Li, Yuhui Yu, Rui Fu 等 6 位作者
Robotics and Computer-Integrated Manufacturing · 2026