Accepted to the 1st German Robotics Conference (GRC)

Authors: Wadhah Zai El Amri, Nicolas Faundes, and Nicolás Navarro-Guerrero.

Topics: Tactile Sensing, Vibro-Acoustic Sensing, Contact Localization, Deep Learning.

Abstract:

Tactile sensors are crucial for many robotic applications, such as dexterous robotic gripping, prosthetics, and surgical robots. However, only a few companies offer this type of sensor. Additionally, these sensors are too expensive and fragile to be used in many applications. We are developing a vibration-based tactile sensor integrated into a robotic hand as a demonstration. We focus on improving machine learning algorithms for texture recognition, object detection, and localization of touch stimuli using body-borne vibrations, creating a more efficient and cost-effective solution for diverse applications such as robotics. We are transferring the technology to a start-up developing robotics hands and grippers.

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Preprint:

Download paper here

Citation

@inproceedings{ZaiElAmri2025VibroSense,
  title = {Vibro-{{Sense}}: {{A Bio-Inspired Vibration-Based Tactile Sensor}} for {{Robotics}}},
  booktitle = {German {{Robotics Conference}} ({{GRC}})},
  author = {{Zai El Amri}, {Wadhah} and {Fa{\'u}ndes-Tejos}, Nicol{\'a}s and {Navarro-Guerrero}, Nicol{\'a}s},
  year = {2025},
  month = mar,
  series = {1st},
  pages = {1--3},
  address = {Nuremberg, Germany},
  annotation = {https://www.robotics-institute-germany.de/conference/}
}