Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation

2023

Article

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Intelligent interaction with the physical world requires perceptual abilities beyond vision and hearing; vibrant tactile sensing is essential for autonomous robots to dexterously manipulate unfamiliar objects or safely contact humans. Therefore, robotic manipulators need high-resolution touch sensors that are compact, robust, inexpensive, and efficient. The soft vision-based haptic sensor presented herein is a miniaturized and optimized version of the previously published sensor Insight. Minsight has the size and shape of a human fingertip and uses machine learning methods to output high-resolution maps of 3D contact force vectors at 60 Hz. Experiments confirm its excellent sensing performance, with a mean absolute force error of 0.07 N and contact location error of 0.6 mm across its surface area. Minsight's utility is shown in two robotic tasks on a 3-DoF manipulator. First, closed-loop force control enables the robot to track the movements of a human finger based only on tactile data. Second, the informative value of the sensor output is shown by detecting whether a hard lump is embedded within a soft elastomer with an accuracy of 98%. These findings indicate that Minsight can give robots the detailed fingertip touch sensing needed for dexterous manipulation and physical human–robot interaction.

@article{Andrussow23-AIS-Minsight,
  title = {Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation},
  author = {Andrussow, Iris and Sun, Huanbo and Kuchenbecker, Katherine J. and Martius, Georg},
  journal = {Advanced Intelligent Systems},
  volume = {5},
  number = {8},
  pages = {2300042},
  month = aug,
  year = {2023},
  note = {Inside back cover},
  doi = {10.1002/aisy.202300042},
  month_numeric = {8}
}