Bioin-Tacto Sensor

Development of a bio-inspired tactile sensing

Bioin-Tacto sensor visual abstract.

The BioIn-Tacto is a compliant, multi-modal tactile sensing module designed for various robotic tasks (de Oliveira & da Fonseca, 2023). Its development focused on creating a biology-inspired sensor that can provide rich, diverse data for complex robotic manipulation and sensing challenges (de Oliveira & da Fonseca, 2023). The original design files and source code for the sensor were made publicly available to foster further research and adaptation (de Oliveira & da Fonseca, 2022).

A key feature of the BioIn-Tacto sensor is its ability to facilitate advanced applications. For instance, the sensor’s compliant tactile perception has been successfully leveraged for a haptic “blind” surface reconstruction task, showcasing its utility in environments where visual feedback may be limited or unavailable (Cheret et al., 2024). The sensor has also been utilized in studies exploring tactile temporal features for object pose estimation during robotic manipulation (Galaiya et al., 2023).

Furthermore, the sensor’s capabilities have led to the creation of several important datasets to advance the field of robotic tactile sensing, proving its value as a robust data collection platform:

Dynamic texture classification dataset using the module (Lima et al., 2023).

Datasets specifically collected for robotic tasks like the extraction of non-regular pegs based on the Bioin-Tacto sensor modules (missing reference).

Datasets for tactile textures on uneven surfaces (missing reference).

References

2024

  1. Leveraging Compliant Tactile Perception for Haptic Blind Surface Reconstruction
    Laurent YE Ramos Cheret, Vinicius Prado Da Fonseca, and Thiago E Alves Oliveira
    In 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024

2023

  1. BioIn-Tacto: A compliant multi-modal tactile sensing module for robotic tasks
    Thiago Eustaquio Alves Oliveira and Vinicius Prado Fonseca
    HardwareX, 2023
  2. Exploring tactile temporal features for object pose estimation during robotic manipulation
    Viral Rasik Galaiya, Mohammed Asfour, Thiago Eustaquio Oliveira, and 2 more authors
    Sensors, 2023
  3. A multimodal tactile dataset for dynamic texture classification
    Bruno Monteiro Rocha Lima, Venkata Naga Sai Siddhartha Danyamraju, Thiago Eustaquio Alves Oliveira, and 1 more author
    Data in Brief, 2023

2022

  1. BioIn-Tacto: tactile sensing module design files and source code
    Thiago Eustaquio Alves Oliveira and Vinicius Prado Fonseca
    2022
    Abs