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01 / FINGERTIP TACTILE SENSOR

Three-Axis Fingertip
Tactile Sensor

Research on a three-axis tactile sensor for integration into robotic hands.

3-Axis ForceContact PositionIntegrated PCB
CAD cross-section of the fingertip sensor with four groups and twelve electrode sectors.
CAD cross-section of the fingertip sensor with four groups and twelve electrode sectors.
Sensor fabrication · Calibration · Robotic-hand experimentsRESEARCH PROJECT / 01
Groups × sectors
4 × 3
12 capacitance-sensing electrodes in total
Rated normal-force range
0–20 N
Rated shear-force range: ±6 N per axis
Sensor output
100 Hz
Force and position transmitted over CAN
01 / RESEARCH NOTES

Three-axis force and contact-position experiments

The video shows contact-position and three-axis force estimates as a probe moves across the sensing surface and applies normal and shear loads.

Contact trajectories and normal/shear loading of the fingertip sensor · 1 min 3 sec
02 / RESEARCH NOTES

Sensor structure and sensing principle

Four inverse-truncated-cone features sit beneath a continuous silicone contact surface. Each corresponding circular electrode is divided into three equal sectors. Normal compression increases the three capacitances together, while shear deformation produces differences between sectors. Common and differential signals are calibrated to estimate the three force components.

Building on the load-transfer structure of the single-axis gripper fingertip sensor by Park et al. (2025), this research introduces three-sector electrodes and three-axis calibration. It also shortens the fingertip assembly for robotic-hand integration and combines sensing, processing and communication circuits in one module.

Sensor dimensions
17.5 × 21.5 × 9 mm
Electrode configuration
4 groups / 12 sectors
Selected group spacing
6 mm
Electronics
4-layer PCB · AD7147
Contact structure
Conductive silicone + dielectric
Outputs
Fx, Fy, Fz · contact position

Dimensions exclude the finger mounting section. A 6 mm group spacing was selected within the 5–7 mm design range to suit the sensor size.

03 / RESEARCH NOTES

Electronics and calibration

Three motorized stages and an AFT50-D15 reference force/torque sensor were used. After correcting unloaded offsets and aligning time and coordinate systems, the model was trained with 20 loading repetitions per axis. Evaluation used five separate repetitions per axis.

Normal forces are estimated from the capacitance sum within each group, and shear forces from differences between sectors. Weighted least-squares fitting reduces output on unloaded axes. The four groups’ normal-force contributions are used as weights to estimate contact position.

Unloaded baseline20 training repetitions per axisForce and position estimates5 independent evaluation repetitions per axis
04 / RESEARCH NOTES

Force and contact-position estimation

In independent force-tracking tests, RMSE was 0.251 N for normal force and 0.296 N and 0.304 N for the two shear components. The values below are from the calibration selected for force tracking.

Force-tracking error in independent evaluation
AxisRecorded evaluation loadRMSE
Fz0–20 N0.251 N
FxApprox. −5.4 to 6.9 N0.296 N
FyApprox. −5.4 to 8.0 N0.304 N

In a separate decoupling evaluation, zero-referenced RMSE between the two shear axes decreased to 0.066 N and 0.109 N. Force-tracking RMSE increased to 0.397 N and 0.391 N, illustrating the trade-off between cross-axis suppression and force tracking.

Contact position was evaluated at 14 locations using a 4 mm diameter probe under approximately 5 N. Three presses were pooled at each location to obtain a median estimate; the mean error of these representative positions was 0.074 mm. This is not an instantaneous error across the full surface or a measure of spatial resolution.

05 / RESEARCH NOTES

Robotic-hand grasping experiments

Sensors were mounted on an AIDIN-Hand for grasping, holding, release and external-disturbance experiments. Changes in shear force were used to adjust finger closing and increase grasp force.

The reference sensor attached to the object measures the external resultant force, while each fingertip sensor measures a local contact force. Because the load paths differ, differences in magnitude are not treated directly as sensor error.

Sources and interpretationBased on the master’s thesis research and fingertip sensor experiments. The earlier work on the inverse-truncated-cone load-transfer structure is linked below.

Park et al. — Tactile Sensor Integrated Fingertip Capable of Detecting Precise Contact Force for Robotic Grippers (IEEE TIE, 2025) ↗

NEXT PROJECT / 02
Three-Axis Gripper Tactile Sensor ↗