FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems

Problem
This paper addresses the lack of accessible, scalable, and cost-effective tactile sensing solutions for robotic systems, particularly in the context of enhancing robotic end-effectors. Existing tactile sensors often suffer from high costs, limited scalability, and complex integration challenges. The authors present FlexiTac as a low-cost, open-source alternative that can be easily integrated into various robotic platforms. This work is a preprint and has not yet undergone peer review.

Method
FlexiTac comprises two main components: (i) flexible tactile sensor pads and (ii) a multi-channel readout board. The sensor pads utilize a three-layer laminate stack consisting of flexible printed circuits (FPC), a piezoresistive material (Velostat), and another FPC layer. This design enhances fabrication throughput and repeatability while ensuring mechanical compliance, making it suitable for both rigid and soft grippers. The readout board employs low-cost, commercially available components to stream tactile data at 100 Hz via serial communication. The system supports various configurations, including fingertip pads and larger tactile mats, allowing for versatile deployment across different robotic platforms. Additionally, FlexiTac is compatible with modern tactile learning frameworks, enabling applications such as 3D visuo-tactile fusion, cross-embodiment skill transfer, and real-to-sim-to-real fine-tuning using GPU-accelerated tactile simulations.

Results
The authors demonstrate that FlexiTac can effectively capture dense tactile signals, facilitating real-time control and large-scale data collection. While specific quantitative performance metrics are not provided in the abstract, the system’s ability to operate at 100 Hz and its compatibility with advanced tactile learning pipelines suggest significant improvements over traditional tactile sensing solutions. The authors compare FlexiTac to existing tactile sensors, highlighting its cost-effectiveness and ease of integration as key advantages, although exact baseline comparisons and effect sizes are not detailed.

Limitations
The authors acknowledge that while FlexiTac is designed for scalability and low cost, its performance may be limited by the inherent properties of the piezoresistive material used. Additionally, the reliance on serial communication at 100 Hz may impose constraints on the data throughput for high-demand applications. The paper does not address potential challenges related to environmental factors affecting sensor performance, such as temperature variations or mechanical wear over time.

Why it matters
FlexiTac represents a significant advancement in tactile sensing technology for robotics, particularly for researchers and engineers focused on developing cost-effective and scalable solutions. Its open-source nature encourages community collaboration and further innovation in tactile sensing applications. The compatibility with modern tactile learning frameworks positions FlexiTac as a valuable tool for enhancing robotic perception and manipulation capabilities, potentially accelerating advancements in fields such as autonomous robotics, human-robot interaction, and soft robotics.

Authors: Binghao Huang, Yunzhu Li
Source: arXiv:2604.28156
URL: https://arxiv.org/abs/2604.28156v1