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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Nathan F. Lepora, Max Yang, Bowen Deng, Yijiong Lin
3 citations
IEEE Robotics and Automation Letters
Modular Robots and Swarm Intelligence
0.64
article

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

Nathan F. Lepora, Max Yang, Bowen Deng, Yijiong Lin
article en
3 citations

Abstract

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.

IEEE Robotics and Automation LettersVol. 10(2)
Bristol Robotics Laboratory (GB)
Zero hunger
Openalex Percentile: Top 34%
Modular Robots and Swarm Intelligence
0.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.