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This research introduces LUMO, a novel robotic fingertip design that uses embedded LEDs and compliant silicone to optically resolve contact location alongside joint torque measurements. By optimizing the pad's mechanical cross-section for simultaneous load-bearing and light transmission, the system significantly improves force estimation accuracy across various contact points and indenter sizes. This advancement directly addresses a critical limitation in current tactile sensing by enabling precise whole-finger force observation without requiring complex internal sensor arrays.
LUMO: Designing Luminous Contact Morphology for Repeatable Whole-Finger Contact Observation
arXiv:2609.18165v1 Announce Type: new Abstract: A low-impedance robot finger reports through joint torque how strongly it is loaded, but the same torque can arise from a small force near the fingertip or a large force near the joint. Resolving the force therefore requires knowing where along the finger contact occurred. LUMO makes that location externally observable. Embedded LEDs illuminate a compliant silicone pad, and contact deforms the pad so that light emerging from the finger's side changes in a pattern set by where the load acts. Because the same structure also carries the contact load, we optimize its cross-section, including the pad profile, rigid carrier, and lateral void, for two behaviors at once. Mechanically, the pad conforms under low preload while the carrier increasingly restricts further deformation as load rises. Optically, different contact locations produce separated responses on the finger's side. The search uses rigid--soft contact simulation, ray tracing, and multi-objective Bayesian optimization. Across two silicones, six contact locations, and 10- and 30-mm spherical indenters, the optimized morphologies improve neighboring-location separation relative to variation from re-establishing contact by \(15\)--\(59\%\). Estimating contact location from the optical response using the known LED spacing and combining it with joint torque gives \(1.44~\mathrm{N}\) normal-force MAE over 931 samples. In a two-finger hand, localized side responses appear on several links simultaneously during grasps.
Abstract:A low-impedance robot finger reports through joint torque how strongly it is loaded, but the same torque can arise from a small force near the fingertip or a large force near the joint. Resolving the force therefore requires knowing where along the finger contact occurred. LUMO makes that location externally observable. Embedded LEDs illuminate a compliant silicone pad, and contact deforms the pad so that light emerging from the finger's side changes in a pattern set by where the load acts. Because the same structure also carries the contact load, we optimize its cross-section, including the pad profile, rigid carrier, and lateral void, for two behaviors at once. Mechanically, the pad conforms under low preload while the carrier increasingly restricts further deformation as load rises. Optically, different contact locations produce separated responses on the finger's side. The search uses rigid--soft contact simulation, ray tracing, and multi-objective Bayesian optimization. Across two silicones, six contact locations, and 10- and 30-mm spherical indenters, the optimized morphologies improve neighboring-location separation relative to variation from re-establishing contact by \(15\)--\(59\%\). Estimating contact location from the optical response using the known LED spacing and combining it with joint torque gives \(1.44~\mathrm{N}\) normal-force MAE over 931 samples. In a two-finger hand, localized side responses appear on several links simultaneously during grasps.
Robotics (cs.RO)
arXiv:2609.18165 [cs.RO]
(or arXiv:2609.18165v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2609.18165 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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