2021/09/15 by T. Sakuma, Takuya Kiyokawa, Sakuma, Tatsuya +7 · 2 citations
Engineering · #Advanced Measurement and Metrology Techniques #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Robot Manipulation and Learning #Robotics (cs.RO)
paper · pdf · doi:10.48550/arxiv.2109.07087
openalex publication_date 2021/09/15 · openalex created_date 2022/07/14 · openalex updated_date 2026/07/28
For assembly tasks, it is essential to firmly fix target parts and to accurately estimate their poses. Several rigid jigs for individual parts are frequently used in assembly factories to achieve precise and time-efficient product assembly. However, providing customized jigs is time-consuming. In this study, to address the lack of versatility in the shapes the jigs can be used for, we developed a flexible jig with a soft membrane including transparent beads and oil with a tuned refractive index. The bead-based jamming transition was accomplished by discharging only oil enabling a part to be firmly fixed. Because the two cameras under the jig are able to capture membrane shape changes, we proposed a sensing method to estimate the orientation of the part based on the behaviors of markers created on the jig's inner surface. Through estimation experiments, the proposed system could estimate the orientation of a cylindrical object with a diameter larger than 50 mm and an RMSE of less than 3 degrees.