Self-Attention Based Visual-Tactile Fusion Learning for Predicting Grasp Outcomes
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DOI: 10.1109/lra.2020.3010720
Abstract: Predicting whether a particular grasp will succeed is critical to performing stable grasping and manipulating tasks. Robots need to combine vision and touch as humans do to accomplish this prediction. The primary problem to be… read more here.
Keywords: tactile fusion; visual tactile; self attention; fusion learning ... See more keywords