Adaptive Drift Compensation for Soft Sensorized Finger Using Continual Learning Article Swipe

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Nilay Kushawaha , Radan Pathan , Niccolò Pagliarani , Matteo Cianchetti , Egidio Falotico ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2503.16540

Strain sensors are gaining popularity in soft robotics for acquiring tactile data due to their flexibility and ease of integration. Tactile sensing plays a critical role in soft grippers, enabling them to safely interact with unstructured environments and precisely detect object properties. However, a significant challenge with these systems is their high non-linearity, time-varying behavior, and long-term signal drift. In this paper, we introduce a continual learning (CL) approach to model a soft finger equipped with piezoelectric-based strain sensors for proprioception. To tackle the aforementioned challenges, we propose an adaptive CL algorithm that integrates a Long Short-Term Memory (LSTM) network with a memory buffer for rehearsal and includes a regularization term to keep the model's decision boundary close to the base signal while adapting to time-varying drift. We conduct nine different experiments, resetting the entire setup each time to demonstrate signal drift. We also benchmark our algorithm against two other methods and conduct an ablation study to assess the impact of different components on the overall performance.

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2503.16540
PDF: https://arxiv.org/pdf/2503.16540
OA Status: green
OpenAlex ID: https://openalex.org/W4416455376

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OpenAlex ID: https://openalex.org/W4416455376

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DOI: https://doi.org/10.48550/arxiv.2503.16540

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Title: Adaptive Drift Compensation for Soft Sensorized Finger Using Continual Learning

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-03-18

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Authors: Nilay Kushawaha, Radan Pathan, Niccolò Pagliarani, Matteo Cianchetti, Egidio Falotico

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Landing page: https://arxiv.org/abs/2503.16540

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PDF URL: https://arxiv.org/pdf/2503.16540

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Cited by: 0

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