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This research presents a novel tactile sensor that uniquely integrates velocity, force/torque, and pressure mapping within a single deformable structure for in-hand manipulation. The device's ability to robustly track both flat and curved surfaces across diverse materials, combined with its low-cost fabrication via standard PCB techniques, offers significant potential for advancing compliant robotic grippers.
Deformable In-Hand Slip-Aware Tactile Sensor with Integrated Velocity, Force/Torque, and Pressure Map Sensing
arXiv:2606.11952v1 Announce Type: new Abstract: This paper introduces a novel tactile sensor for in-hand manipulation with slip-aware control that integrates velocity, force/torque, and pressure map sensing into a single device with a deformable contact pad. To the best of our knowledge, this is the first sensor to combine these sensing modalities within a single compliant structure. The sensor features a deformable contact surface and can robustly track both flat and curved surfaces across a wide range of materials. Its performance is evaluated through a comprehensive set of experiments that highlight both its capabilities and limitations. The sensor is designed for rapid and low-cost fabrication using a combination of standard PCB manufacturing and rapid prototyping techniques.
Abstract:This paper introduces a novel tactile sensor for in-hand manipulation with slip-aware control that integrates velocity, force/torque, and pressure map sensing into a single device with a deformable contact pad. To the best of our knowledge, this is the first sensor to combine these sensing modalities within a single compliant structure. The sensor features a deformable contact surface and can robustly track both flat and curved surfaces across a wide range of materials. Its performance is evaluated through a comprehensive set of experiments that highlight both its capabilities and limitations. The sensor is designed for rapid and low-cost fabrication using a combination of standard PCB manufacturing and rapid prototyping techniques.
Robotics (cs.RO)
arXiv:2606.11952 [cs.RO]
(or arXiv:2606.11952v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2606.11952 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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