Detection and Physical Interaction with Deformable Linear Objects
Azarakhsh Keipour, Mohammadreza Mousaei, Maryam Bandari, Stefan Schaal, Sebastian Scherer
- 发表年份
- 2022
- 访问权限
- 开放获取
摘要
Deformable linear objects (e.g., cables, ropes, and threads) commonly appear in our everyday lives. However, perception of these objects and the study of physical interaction with them is still a growing area. There have already been successful methods to model and track deformable linear objects. However, the number of methods that can automatically extract the initial conditions in non-trivial situations for these methods has been limited, and they have been introduced to the community only recently. On the other hand, while physical interaction with these objects has been done with ground manipulators, there have not been any studies on physical interaction and manipulation of the deformable linear object with aerial robots. This workshop describes our recent work on detecting deformable linear objects, which uses the segmentation output of the existing methods to provide the initialization required by the tracking methods automatically. It works with crossings and can fill the gaps and occlusions in the segmentation and output the model desirable for physical interaction and simulation. Then we present our work on using the method for tasks such as routing and manipulation with the ground and aerial robots. We discuss our feasibility analysis on extending the physical interaction with these objects to aerial manipulation applications.
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