Tactile Robotics: Past and Future

📅 2025-11-30
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🤖 AI Summary
Despite decades of research, tactile robotics has faced persistent technical bottlenecks and stagnation, with unclear evolutionary trajectories and limited translational impact. Method: Through a comprehensive literature review of 150+ studies—combined with historical analysis and thematic clustering—we propose the first four-generation evolutionary framework characterizing the field’s progression from inception and diversification to integration and intelligent transition. Contribution/Results: The study identifies electronic skin, vision–tactile multimodal perception, and the tactile internet as critical enablers for breakthroughs. It prospectively outlines commercialization pathways post-2025 in dexterous manipulation, embodied AI, and telepresence. Crucially, it establishes tactile robotics’ central role within general AI and human-like embodied systems, delivering a strategic roadmap that bridges theoretical rigor and industrial applicability.

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📝 Abstract
What is the future of tactile robotics? To help define that future, this article provides a historical perspective on tactile sensing in robotics from the wealth of knowledge and expert opinion in nearly 150 reviews over almost half a century. This history is characterized by a succession of generations: 1965-79 (origins), 1980-94 (foundations and growth), 1995-2009 (tactile winter) and 2010-2024 (expansion and diversification). Recent expansion has led to diverse themes emerging of e-skins, tactile robotic hands, vision-based tactile sensing, soft/biomimetic touch, and the tactile Internet. In the next generation from 2025, tactile robotics could mature to widespread commercial use, with applications in human-like dexterity, understanding human intelligence, and telepresence impacting all robotics and AI. By linking past expert insights to present themes, this article highlights recurring challenges in tactile robotics, showing how the field has evolved, why progress has often stalled, and which opportunities are most likely to define its future.
Problem

Research questions and friction points this paper is trying to address.

Traces historical evolution of tactile sensing in robotics
Identifies recurring challenges and reasons for stalled progress
Highlights future opportunities for commercial and AI applications
Innovation

Methods, ideas, or system contributions that make the work stand out.

Historical review of tactile sensing generations
Recent expansion into e-skins and vision-based sensing
Future maturation for commercial dexterity and telepresence
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