CoinFT: A Coin-Sized, Capacitive 6-Axis Force Torque Sensor for Robotic Applications
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Abstract (arXiv)
We introduce CoinFT, a capacitive 6-axis force/torque (F/T) sensor that is compact, light, low-cost, and robust with an average root-mean-squared error of 0.16 N for force and 1.08 mN m for moment when the input ranges from 0-14 N and 0-5 N in normal and shear directions, respectively. CoinFT is a stack of two rigid PCBs with comb-shaped electrodes connected by an array of silicone rubber pillars. A microcontroller interrogates the electrodes in different subsets in order to enhance sensitivity for measuring 6-axis F/T. The combination of features of CoinFT enables various contact-rich robot interactions across different embodiment domains including drones, robot end-effectors, and wearable haptic devices. We demonstrate the utility of CoinFT through two representative applications: a multi-axial contact-probing experiment in which a CoinFT mounted beneath a hemispherical fingertip measures 6-axis force and torque representative of manipulation scenarios, and a force-control task on a drone. The design, fabrication, and firmware of CoinFT are open-sourced at https://coin-ft.github.io/.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Mar 2025.
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Citing papers per year: 2025: 1; 2026: 4.
5 papers.
- 2025Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Correctionscited by 25
- 2026FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learningcited by 1
- 2026Frequency-aware decomposition learning for sensorless wrench estimation in vibration-rich robotic contactcited by 0
- 2026Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representationcited by 0
- 2026TAP-VLA: Tactile Annotation Prompting for Vision Language Action Modelscited by 0
- 2026TAP-VLA: Tactile Annotation Prompting for Vision Language Action Models27 Jun 2026
- 2026FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning10 Jun 2026
- 2026Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation27 May 2026
- 2026Frequency-aware decomposition learning for sensorless wrench estimation in vibration-rich robotic contact14 Apr 2026
- 2025Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections20 Jun 2025