Vibrotactile Feedback for a Remote Operated Robot with Noise Subtraction Based on Perceived Intensity

TL;DR

This paper introduces a perceptually-based noise filtering method for vibrotactile feedback in teleoperated robots, enhancing tactile signal clarity by subtracting ego-noise while preserving essential tactile cues.

Contribution

A novel noise subtraction approach based on perceived intensity that improves tactile feedback quality in remote robot operation.

Findings

Effective noise reduction while maintaining tactile signal integrity

Enhanced haptic feedback accuracy in teleoperation

System aligns noise filtering with human perceptual characteristics

Abstract

There is a growing demand for teleoperated robots. This paper presents a novel method for reducing vibration noise generated by robot's own motion, which can disrupt the quality of tactile feedback for teleoperated robots. Our approach focuses on perceived intensity, the amount of how humans experience vibration, to create a noise filter that aligns with human perceptual characteristics. This system effectively subtracts ego-noise while preserving the essential tactile signals, ensuring more accurate and reliable haptic feedback for operators. This method offers a refined solution to the challenge of maintaining high-quality tactile feedback in teleoperated systems.