4 citations · 13 across the 7 of their papers we have counts for
7 papers
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…
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…
Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping
Jiaqi Jiang, Guanqun Cao, Aaron Butterworth +2
Picking up transparent objects is still a challenging task for robots. The visual properties of transparent objects such as reflection and refraction make the current grasping meth…
A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation
Jiaqi Jiang, Guanqun Cao, Thanh-Toan Do +1
Transparent objects are widely used in our daily lives and therefore robots need to be able to handle them. However, transparent objects suffer from light reflection and refraction…
Multimodal perception for dexterous manipulation
Guanqun Cao, Shan Luo
Humans usually perceive the world in a multimodal way that vision, touch, sound are utilised to understand surroundings from various dimensions. These senses are combined together…
TouchRoller: A Rolling Optical Tactile Sensor for Rapid Assessment of Large Surfaces
Guanqun Cao, Jiaqi Jiang, Chen Lu +2
Tactile sensing is important for robots to perceive the world as it captures the texture and hardness of the object in contact and is robust to illumination and colour variances. H…