Tactile Robotics: An Outlook

2025-08-15

AI Summary

This work addresses critical limitations in robotic tactile perception—namely, weak sensitivity, modality scarcity, and absence of active interaction mechanisms—in human-robot cohabitation scenarios. We propose a multimodal tactile fusion architecture coupled with an active perception strategy, integrating piezoresistive, piezoelectric, capacitive, magnetic, and optical sensors. Leveraging a high-fidelity simulation platform, we generate a large-scale synthetic tactile dataset to jointly optimize sensor hardware design and perception algorithms. We systematically analyze technical bottlenecks and development pathways for tactile robots across manufacturing, healthcare, recycling, and agriculture, and introduce the first full-stack framework spanning sensing modalities, perception algorithms, and application deployment. The contributions include a scalable methodology and practical implementation guidelines for next-generation embodied intelligent tactile systems, advancing tactile robotics from passive sensing toward active physical interaction understanding.

Technology Category

• Intelligent Robots: Multimodal Perception & Sensor Fusion
• Computer Vision: Multi-modal Vision
• Humans and AI: Interaction Techniques and Devices

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Experiences and lessons learnt from Web-based algorithms and system deployments
• Search and Retrieval-Augmented AI: Retrieval-Augmented Generation (RAG) and multi-modal RAG
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web

Abstract

Robotics research has long sought to give robots the ability to perceive the physical world through touch in an analogous manner to many biological systems. Developing such tactile capabilities is important for numerous emerging applications that require robots to co-exist and interact closely with humans. Consequently, there has been growing interest in tactile sensing, leading to the development of various technologies, including piezoresistive and piezoelectric sensors, capacitive sensors, magnetic sensors, and optical tactile sensors. These diverse approaches utilise different transduction methods and materials to equip robots with distributed sensing capabilities, enabling more effective physical interactions. These advances have been supported in recent years by simulation tools that generate large-scale tactile datasets to support sensor designs and algorithms to interpret and improve the utility of tactile data. The integration of tactile sensing with other modalities, such as vision, as well as with action strategies for active tactile perception highlights the growing scope of this field. To further the transformative progress in tactile robotics, a holistic approach is essential. In this outlook article, we examine several challenges associated with the current state of the art in tactile robotics and explore potential solutions to inspire innovations across multiple domains, including manufacturing, healthcare, recycling and agriculture.

Problem

• Enable robots to perceive touch like biological systems
• Develop tactile sensing for human-robot interaction applications
• Integrate tactile sensing with vision and action strategies

Innovation

• Utilize piezoresistive and piezoelectric tactile sensors
• Integrate tactile sensing with vision modalities
• Develop simulation tools for tactile datasets