aiqbench analysis
This research introduces an external photoreflective module that measures surface deformation on soft robot skins to estimate contact force, eliminating the need for embedded transducers. By keeping sensors off the contact interface, the method preserves structural flexibility while offering improved durability and simplified maintenance compared to traditional wired or liquid-filled tactile skins. The approach demonstrates reliable grasp detection on soft robotic grippers, suggesting a scalable path toward equipping diverse robot geometries with robust force perception for safe human-robot collaboration.
External Photoreflective Tactile Sensing Based on Surface Deformation Measurement
arXiv:2511.06311v2 Announce Type: replace Abstract: We present a tactile sensing method enabled by the mechanical compliance of soft robots; an externally attachable photoreflective module reads surface deformation of silicone skin to estimate contact force without embedding tactile transducers. Locating the sensor off the contact interface reduces damage risk, preserves softness, and simplifies fabrication and maintenance. We first characterize the optical sensing element and the compliant skin, thendetermine the design of a prototype tactile sensor. Compression experiments validate the approach, exhibiting a monotonic force output relationship consistent with theory, low hysteresis, high repeatability over repeated cycles, and small response indentation speeds. We further demonstrate integration on a soft robotic gripper, where the module reliably detects grasp events. Compared with liquid filled or wireembedded tactile skins, the proposed modular add on architecture enhances durability, reduces wiring complexity, and supports straightforward deployment across diverse robot geometries. Because the sensing principle reads skin strain patterns, it also suggests extensions to other somatosensory cues such as joint angle or actuator state estimation from surface deformation. Overall, leveraging surface compliance with an external optical module provides a practical and robust route to equip soft robots with force perception while preserving structural flexibility and manufacturability, paving the way for robotic applications and safe human robot collaboration.
Abstract:We present a tactile sensing method enabled by the mechanical compliance of soft robots; an externally attachable photoreflective module reads surface deformation of silicone skin to estimate contact force without embedding tactile transducers. Locating the sensor off the contact interface reduces damage risk, preserves softness, and simplifies fabrication and maintenance. We first characterize the optical sensing element and the compliant skin, thendetermine the design of a prototype tactile sensor. Compression experiments validate the approach, exhibiting a monotonic force output relationship consistent with theory, low hysteresis, high repeatability over repeated cycles, and small response indentation speeds. We further demonstrate integration on a soft robotic gripper, where the module reliably detects grasp events. Compared with liquid filled or wireembedded tactile skins, the proposed modular add on architecture enhances durability, reduces wiring complexity, and supports straightforward deployment across diverse robot geometries. Because the sensing principle reads skin strain patterns, it also suggests extensions to other somatosensory cues such as joint angle or actuator state estimation from surface deformation. Overall, leveraging surface compliance with an external optical module provides a practical and robust route to equip soft robots with force perception while preserving structural flexibility and manufacturability, paving the way for robotic applications and safe human robot collaboration.
Accepted for publication in IEEE Sensors Journal. This is the accepted manuscript version
Robotics (cs.RO)
arXiv:2511.06311 [cs.RO]
(or arXiv:2511.06311v2 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2511.06311 Focus to learn more arXiv-issued DOI via DataCite
https://doi.org/10.1109/JSEN.2026.3686632 Focus to learn more DOI(s) linking to related resources
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Full text under the publisher's open licence · 318 words
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