Contact Sensing via Joint Torque Sensors and a Force/Torque Sensor for Legged Robots

This paper presents a method for detecting and localizing contact along robot legs using distributed joint torque sensors and a single hip-mounted force-torque (FT) sensor using a generalized momentum-based observer framework. We designed a low-cost strain-gauge-based joint torque sensor that can be installed on every joint to provide direct torque measurements, eliminating the need for complex friction models and providing more accurate torque readings than estimation based on motor current. Simulation studies on a floating-based 2-DoF robot leg verified that the proposed framework accurately recovers contact force and location along the thigh and shin links. Through a calibration procedure, our torque sensor achieved an average 96.4% accuracy relative to ground truth measurements. Building upon the torque sensor, we performed hardware experiments on a 2-DoF manipulator, which showed sub-centimeter contact localization accuracy and force errors below 0.2 N.

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Publication Details

Published
2025-08-17
DOI
https://doi.org/10.1109/case58245.2025.11164031
Primary Topic
Robot Manipulation and Learning
Type
article
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article

Contact Sensing via Joint Torque Sensors and a Force/Torque Sensor for Legged Robots

Yanran Ding, Jared Grinberg
Robot Manipulation and Learning
article

Contact Sensing via Joint Torque Sensors and a Force/Torque Sensor for Legged Robots

Yanran Ding, Jared Grinberg
article en

Abstract

This paper presents a method for detecting and localizing contact along robot legs using distributed joint torque sensors and a single hip-mounted force-torque (FT) sensor using a generalized momentum-based observer framework. We designed a low-cost strain-gauge-based joint torque sensor that can be installed on every joint to provide direct torque measurements, eliminating the need for complex friction models and providing more accurate torque readings than estimation based on motor current. Simulation studies on a floating-based 2-DoF robot leg verified that the proposed framework accurately recovers contact force and location along the thigh and shin links. Through a calibration procedure, our torque sensor achieved an average 96.4% accuracy relative to ground truth measurements. Building upon the torque sensor, we performed hardware experiments on a 2-DoF manipulator, which showed sub-centimeter contact localization accuracy and force errors below 0.2 N.

University of Michigan (US)
Openalex Percentile: Top 68%
Robot Manipulation and Learning
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Contact Sensing via Joint Torque Sensors and a Force/Torque Sensor for Legged Robots — Yanran Ding, Jared Grinberg · (2025) | TGRS Research Map | TGRS