GelFlow: Self-supervised Learning of Optical Flow for Vision-Based Tactile Sensor Displacement Measurement

Zhiyuan Zhang; Hua Yang; Zhouping Yin

doi:10.1007/978-981-99-6498-7_3

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GelFlow: Self-supervised Learning of Optical Flow for Vision-Based Tactile Sensor Displacement Measurement

Zhiyuan Zhang Hua Yang Zhouping Yin

Year: 2023 Lecture notes in computer science Pages: 26-37 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-6498-7_3

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Keywords:

Artificial intelligence Computer science Optical flow Computer vision Displacement (psychology) Tactile sensor Deformation (meteorology) Feature (linguistics) Distortion (music) Pyramid (geometry) Robot Image (mathematics) Optics Physics

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Tactile and Sensory Interactions

Life Sciences → Neuroscience → Cognitive Neuroscience

Advanced Sensor and Energy Harvesting Materials

Physical Sciences → Engineering → Biomedical Engineering

Robot Manipulation and Learning

Physical Sciences → Engineering → Control and Systems Engineering

GelFlow: Self-supervised Learning of Optical Flow for Vision-Based Tactile Sensor Displacement Measurement

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