A Flexible and Robust Large Scale Capacitive Tactile System for Robots
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Abstract (arXiv)
Capacitive technology allows building sensors that are small, compact and have high sensitivity. For this reason it has been widely adopted in robotics. In a previous work we presented a compliant skin system based on capacitive technology consisting of triangular modules interconnected to form a system of sensors that can be deployed on non-flat surfaces. This solution has been successfully adopted to cover various humanoid robots. The main limitation of this and all the approaches based on capacitive technology is that they require to embed a deformable dielectric layer (usually made using an elastomer) covered by a conductive layer. This complicates the production process considerably, introduces hysteresis and limits the durability of the sensors due to ageing and mechanical stress. In this paper we describe a novel solution in which the dielectric is made using a thin layer of 3D fabric which is glued to conductive and protective layers using techniques adopted in the clothing industry. As such, the sensor is easier to produce and has better mechanical properties. Furthermore, the sensor proposed in this paper embeds transducers for thermal compensation of the pressure measurements. We report experimental analysis that demonstrates that the sensor has good properties in terms of sensitivity and resolution. Remarkably we show that the sensor has very low hysteresis and effectively allows compensating drifts due to temperature variations.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Nov 2014.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 1; 2024: 0; 2025: 1; 2026: 2.
7 papers.
- 2025AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensorscited by 46
- 2021From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligencecited by 35
- 2022Visual-tactile Fusion for Transparent Object Grasping in Complex Backgroundscited by 5
- 2023CNN-based Methods for Object Recognition with High-Resolution Tactile Sensorscited by 3
- 2021VECA : A Toolkit for Building Virtual Environments to Train and Test Human-like Agentscited by 1
- 2026Transparent Fragments Contour Estimation via Visual-Tactile Fusion for Autonomous Reassemblycited by 0
- 2026N0-Foundation: Towards the Age of Tactile Intelligencecited by 0
- 2026N0-Foundation: Towards the Age of Tactile Intelligence30 Aug 2026
- 2026Transparent Fragments Contour Estimation via Visual-Tactile Fusion for Autonomous Reassembly18 Mar 2026
- 2025AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors15 Feb 2025
- 2023CNN-based Methods for Object Recognition with High-Resolution Tactile Sensors21 May 2023
- 2022Visual-tactile Fusion for Transparent Object Grasping in Complex Backgrounds30 Nov 2022
- 2021From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence28 Oct 2021
- 2021VECA : A Toolkit for Building Virtual Environments to Train and Test Human-like Agents3 May 2021