Coarse-to-Fine Robotic Pushing Using Touch, Vision and Proprioception
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.
Authors
- Nathan F. Lepora (ORCID: https://orcid.org/0000-0001-5327-1523)
- Max Yang (ORCID: https://orcid.org/0000-0002-3643-0585)
- Bowen Deng (ORCID: https://orcid.org/0000-0003-1447-842X)
- Yijiong Lin (ORCID: https://orcid.org/0000-0002-0063-0905)
Institutions
- Bristol Robotics Laboratory (GB)
Publication Details
- Journal
- IEEE Robotics and Automation Letters
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1109/lra.2024.3511378
- Citations
- 3
- Primary Topic
- Modular Robots and Swarm Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.64