ROOct 3, 2014

In Situ Calibration of Six-Axes Force Torque Sensors using Accelerometer Measurements

arXiv:1410.0885v222 citations
Originality Incremental advance
AI Analysis

This addresses calibration challenges for robotics and automation systems, offering a practical in situ solution, though it appears incremental as it builds on existing sensor calibration methods.

The paper tackles the problem of calibrating six-axis force-torque sensors without removal from the system, using accelerometer measurements without needing inertial parameters or orientation knowledge, and validates it on sensors of the iCub humanoid robot.

This paper proposes techniques to calibrate six-axis force-torque sensors that can be performed in situ, i.e., without removing the sensor from the hosting system. We assume that the force-torque sensor is attached to a rigid body equipped with an accelerometer. Then, the proposed calibration technique uses the measurements of the accelerometer, but requires neither the knowledge of the inertial parameters nor the orientation of the rigid body. The proposed method exploits the geometry induced by the model between the raw measurements of the sensor and the corresponding force-torque. The validation of the approach is performed by calibrating two six-axis force-torque sensors of the iCub humanoid robot.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes