Adaptive Compressive Tactile Subsampling: Enabling High Spatiotemporal Resolution in Scalable Robotic Skin
🤖 AI Summary
Large-area, high-density tactile sensors (e.g., 32×32 arrays) suffer from low readout rates (<100 Hz) due to high pixel counts, hindering high-speed closed-loop robotic control and dynamic interaction. To address this, we propose a software-defined high-speed tactile perception framework requiring no hardware modification. It integrates compressed sensing, sparse signal recovery, and data-driven learning to construct a generalizable tactile dictionary tailored to flexible 1024-pixel arrays. Our approach achieves, for the first time, high-fidelity tactile reconstruction at kilohertz frame rates (1000 Hz), balancing reconstruction accuracy with hardware scalability. It enables object classification within 20 ms and supports real-time ballistic event detection, rebound angle estimation, and soft-body deformation tracking. The system has been successfully deployed on tactile gloves, pressure-sensing insoles, and full-body haptic robotic platforms, significantly enhancing dynamic manipulation capabilities in unstructured environments.
Application Category
📝 Abstract
Robots, like humans, require full-body, high-resolution tactile sensing to operate safely and effectively in unstructured environments, enabling reflexive responses and closed-loop control. However, the high pixel counts necessary for dense, large-area coverage limit readout rates of most tactile arrays to below 100 Hz, hindering their use in high-speed tasks. We introduce Adaptive Compressive Tactile Subsampling (ACTS), a scalable and data-driven method that dramatically enhances the performance of traditional tactile matrices by leveraging sparse recovery and a learned tactile dictionary. Tested on a 1024-pixel tactile sensor array (32X32), ACTS achieved frame rates up to 1,000 Hz, an 18X improvement over conventional raster scanning, with minimal reconstruction error. For the first time, ACTS enables wearable, large-area, high-density tactile sensing systems that can deliver high-speed results. We demonstrate rapid object classification within 20 ms of contact, high-speed projectile detection, ricochet angle estimation, and soft deformation tracking, in tactile and robotics applications, all using flexible, high-density tactile arrays. These include high-resolution tactile gloves, pressure insoles, and full-body configurations covering robotic arms and human-sized mannequins. ACTS transforms standard, low-cost, and robust tactile sensors into high-speed systems, supporting applications from object manipulation to human-robot interaction. By enabling comprehensive, scalable, and efficient tactile coverage for robots and wearables, ACTS advances robotics toward lifelike, responsive, and adaptable operation in dynamic environments.
Problem
Research questions and friction points this paper is trying to address.
Enhancing tactile sensor readout rates
Enabling high-speed tactile sensing
Scalable tactile sensing for robots
Innovation
Methods, ideas, or system contributions that make the work stand out.
Adaptive Compressive Tactile Subsampling method
Achieves 1000 Hz frame rates
Enables high-speed tactile sensing systems
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