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Coarse-to-Fine Robotic Pushing Using Touch, Vision and Proprioception

Bowen Deng, Yijiong Lin, Max Yang, Nathan F. Lepora

发表年份
2024
引用次数
3

摘要

Robotic pushing can be a complicated process that is indicative of the techniques needed for general object manipulation. Here we propose a novel coarse-to-fine approach that combines visual localization with a pushing strategy using tactile and proprioceptive feedback. In the coarse control stage, visual feedback continuously adjusts the relative pose between the end-effector and the object. This serves as an operational point to start the fine control. In the fine control phase, relative sensor-object pose information from tactile sensing is used to accurately control the end-effector to push the object to the target pose. The visual and tactile feedback are integrated into a multi-stage control process so that the object can be moved to a target position and orientation; in contrast, using only a single-stage pushing method does not permit control of object orientation. Our study confirms that combining tactile and visual approaches is more efficient and accurate for a fairly complex manipulation task. We expect that related methods will extend to more challenging prehensile object manipulation tasks to improve dexterous capabilities of robots.

关键词

ProprioceptionComputer visionRobotic handArtificial intelligenceComputer sciencePhysical medicine and rehabilitationPsychologyHuman–computer interactionCommunicationRobot

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