A Handheld Device for the In Situ Acquisition of Multimodal Tactile Sensing Data
@article{Wade2015AHD, title={A Handheld Device for the In Situ Acquisition of Multimodal Tactile Sensing Data}, author={Joshua Wade and Tapomayukh Bhattacharjee and Charles C. Kemp}, journal={ArXiv}, year={2015}, volume={abs/1511.03152} }
Multimodal tactile sensing could potentially enable robots to improve their performance at manipulation tasks by rapidly discriminating between task-relevant objects. Data-driven approaches to this tactile perception problem show promise, but there is a dearth of suitable training data. In this two-page paper, we present a portable handheld device for the efficient acquisition of multimodal tactile sensing data from objects in their natural settings, such as homes. The multimodal tactile sensor…
6 Citations
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Evidence is provided that data-driven thermal tactile sensing can be used to recognize contact with people and objects in real-world settings and performance was good when generalizing to new contact locations in the same environment.
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A tactile-based manipulation strategy to learn the homogeneous transformation of a grasped rigid tool, using tactile sensing delivered through a tactile matrix sensor covering the tool surface, thereby realizing a step towards a “plastic body schema” for flexible tool use by a robot.
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An overview of tactile information and its applications in robotics is provided, which presents a hierarchy consisting of raw, contact, object, and action levels to structure the tactile information, with higher-level information often building upon lower- level information.
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