3 citations · 14 across the 15 of their papers we have counts for
4 papers · 1 filter
Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders
Guanqun Cao, Jiaqi Jiang, Danushka Bollegala +1
The missing signal caused by the objects being occluded or an unstable sensor is a common challenge during data collection. Such missing signals will adversely affect the results o…
Multimodal Zero-Shot Learning for Tactile Texture Recognition
Guanqun Cao, Jiaqi Jiang, Danushka Bollegala +2
Tactile sensing plays an irreplaceable role in robotic material recognition. It enables robots to distinguish material properties such as their local geometry and textures, especia…
Robotic Perception of Transparent Objects: A Review
Jiaqi Jiang, Guanqun Cao, Jiankang Deng +2
Transparent object perception is a rapidly developing research problem in artificial intelligence. The ability to perceive transparent objects enables robots to achieve higher leve…
Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation
Guanqun Cao, Jiaqi Jiang, Ningtao Mao +3
To assist robots in teleoperation tasks, haptic rendering which allows human operators access a virtual touch feeling has been developed in recent years. Most previous haptic rende…