论文标题

部分可观测时空混沌系统的无模型预测

Detection and Physical Interaction with Deformable Linear Objects

论文作者

Keipour, Azarakhsh, Mousaei, Mohammadreza, Bandari, Maryam, Schaal, Stefan, Scherer, Sebastian

论文摘要

可变形的线性对象(例如电缆,绳索和线程)通常出现在我们的日常生活中。但是,对这些物体的感知和与它们的身体相互作用的研究仍然是一个增长的领域。已经有成功建模和跟踪可变形线性对象的方法。但是,在这些方法的非平凡情况下可以自动提取初始条件的方法数量受到限制,并且仅最近才将其引入社区。另一方面,尽管与这些物体进行了物理互动是与地面操纵器进行的,但没有任何研究对可变形的线性对象与空中机器人操纵的研究。 该研讨会描述了我们最近在检测可变形线性对象的工作,该对象使用现有方法的分割输出来自动提供跟踪方法所需的初始化。它可以与交叉点起作用,并且可以填补分割中的空白和遮挡,并输出对物理相互作用和仿真所需的模型。然后,我们介绍了使用该方法来处理诸如与地面和空中机器人操纵之类的任务的工作。我们讨论了将与这些对象的物理相互作用扩展到空中操纵应用方面的可行性分析。

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.

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