4.0 Article

Implementing Monocular Visual-Tactile Sensors for Robust Manipulation

期刊

CYBORG AND BIONIC SYSTEMS
卷 2022, 期 -, 页码 -

出版社

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.34133/2022/9797562

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资金

  1. National Natural Science Foundation of China [62003059]
  2. China Post- doctoral Science Foundation [2020M673136]
  3. Chongqing Postdoctoral Research Project Special Grant [XmT2020123]

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This paper introduces a framework for building a monocular visual-tactile sensor for robotic manipulation tasks. The sensor is cost-effective, easy to manufacture, and capable of accurately detecting contact positions on flat or curved surfaces. It is suitable for exploratory studies in laboratory settings.
Tactile sensing is an essential capability for robots performing manipulation tasks. In this paper, we introduce a framework to build a monocular visual-tactile sensor for robotic manipulation tasks. Such a sensor is easy to manufacture with affordable ingredients and materials. Based on a marker-based detection method, the sensor can detect the contact positions on a flat or curved surface. In the case study, we have implemented a visual-tactile sensor design specifically through the framework proposed in this paper. The design is low cost and can be processed in a very short time, making it suitable for use as an exploratory study in the laboratory.

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