Tactile Intelligence in Robotics: Advancing Machine Perception through Artificial Skin and Sensor Fusion

Teresa Chahine

Tactile Intelligence in Robotics: Advancing Machine Perception through Artificial Skin and Sensor Fusion

Author(s)	Teresa Chahine
Country	United States
Abstract	Tactile intelligence is emerging as a critical component of next-generation robotics, enabling machines to perceive physical interactions that cannot be adequately captured through vision, audio or conventional proximity sensing. Artificial skin, flexible sensors, force-sensitive technologies and multimodal sensor-fusion architectures are allowing robots to detect pressure, force, vibration, temperature, texture, contact location and object deformation. This paper examines the development of tactile intelligence in robotics and analyses how artificial skin and sensor fusion can improve machine perception, manipulation and autonomous interaction. It proposes a Tactile Intelligence Framework consisting of five interconnected components: tactile sensing, signal processing, multimodal sensor fusion, intelligent interpretation and adaptive physical action. The study examines applications in robotic manipulation, industrial automation, prosthetics, healthcare robotics, collaborative robots, autonomous vehicles and service robotics. Particular attention is given to flexible and stretchable electronic skins, capacitive and resistive sensing, piezoelectric and triboelectric technologies, optical tactile sensors, event-based tactile sensing and AI-driven tactile perception. The paper further discusses challenges related to sensor durability, calibration, spatial resolution, data scarcity, sensor integration, real-time processing, energy consumption and tactile-data standardisation. The analysis suggests that combining tactile information with vision, proprioception and force sensing can provide robots with a richer understanding of physical objects and environments. The paper concludes that tactile intelligence will become increasingly important for developing robots capable of safe, dexterous and adaptive physical interaction, particularly in situations where visual perception alone is insufficient.
Keywords	Tactile Intelligence, Robotics, Artificial Skin, Electronic Skin, Sensor Fusion, Machine Perception, Tactile Sensing, Artificial Intelligence, Robotic Manipulation, Human-Robot Interaction.
Field	Engineering
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-12-19

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American Journal of Advanced Multidisciplinary Research and Innovation

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Tactile Intelligence in Robotics: Advancing Machine Perception through Artificial Skin and Sensor Fusion

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