Contactless Environmental Impedance Estimation: Image-Based Approach Using Confidence Scores of Object Detection Model

抄録

In the domain of haptics, effective interaction with unknown environments is paramount. A key aspect of this lies in the pre-estimation of environmental impedance, a challenge addressed in this research study. Leveraging the paradigm of image-based object detection, this study introduces a novel methodology that correlates environmental impedance with object labels. By systematically applying this approach across diverse objects, the environmental impedance of unfamiliar entities can be reliably estimated based on shared image characteristics. This innovative technique not only advances the understanding of environmental interactions but also presents a proactive means of environment recognition. The methodology which is rooted in the fusion of haptics and computer vision, signifies a significant stride toward comprehensive and anticipatory environmental perception.