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Found 6 papers, 4 papers with code
A Touch, Vision, and Language Dataset for Multimodal Alignment
This is partially due to the difficulty of obtaining natural language labels for tactile data and the complexity of aligning tactile readings with both visual observations and language descriptions.
Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation
Our neural representation driven by multimodal sensing can serve as a perception backbone towards advancing robot dexterity.
General In-Hand Object Rotation with Vision and Touch
We introduce RotateIt, a system that enables fingertip-based object rotation along multiple axes by leveraging multimodal sensory inputs.
PyTouch: A Machine Learning Library for Touch Processing
With the increased availability of rich tactile sensors, there is an equally proportional need for open-source and integrated software capable of efficiently and effectively processing raw touch measurements into high-level signals that can be used for control and decision-making.
TACTO: A Fast, Flexible, and Open-source Simulator for High-Resolution Vision-based Tactile Sensors
We believe that TACTO is a step towards the widespread adoption of touch sensing in robotic applications, and to enable machine learning practitioners interested in multi-modal learning and control.
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation
Despite decades of research, general purpose in-hand manipulation remains one of the unsolved challenges of robotics.
