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This is a record of a document published elsewhere, first published by the United States Patent and Trademark Office, as US-12564953-B2, on 3 March 2026. OpenTechnical did not first disclose it. The identifier, hashes and timestamps below record what this library served and when, not when the material became public. View the original.

OT-2026-000002413

Learning physical features from tactile robotic exploration

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Classification
Robotics & Automation › Robot Architectures
Inventors
ADELSON EDWARD, ROMERO BRANDEN, VEIGA FILIPE FERNANDES, WANG CHEN, WANG SHAOXIONG
Assignee
MASSACHUSETTS INST TECHNOLOGY
Original source
US-12564953-B2, the United States Patent and Trademark Office, 3 March 2026
Document SHA-256
3d675e542143795f1fbe973d9afc2c2c9b041e46897d5c128e37d81dd5be2be2

Abstract

Physical features of an object from tactile robotic exploration, including by manipulation of the object with an effector having a tactile sensor that provides measurements representative of physical interaction of the effector and the object. This exploration may include performing a predetermined set of manipulations of the object using the effector. Measurements made during the manipulations are used to form a data representation of physical characteristics of the object, and this data representation is used to control further motion of the object.

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Citation

OpenTechnical Publication OT-2026-000002413, “Learning physical features from tactile robotic exploration,” published September 15, 2026 at 19:12:49 UTC, https://opentechnical.org/p/OT-2026-000002413.

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This record reproduces a document published elsewhere and is provided for reference and study. Rights in the original remain with its owner. See the publication policy.