4 citations · 15 across the 10 of their papers we have counts for
10 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…
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…
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…
Vision-Guided Active Tactile Perception for Crack Detection and Reconstruction
Jiaqi Jiang, Guanqun Cao, Daniel Fernandes Gomes +1
Crack detection is of great significance for monitoring the integrity and well-being of the infrastructure such as bridges and underground pipelines, which are harsh environments f…
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…
Spatio-temporal Attention Model for Tactile Texture Recognition
Guanqun Cao, Yi Zhou, Danushka Bollegala +1
Recently, tactile sensing has attracted great interest in robotics, especially for facilitating exploration of unstructured environments and effective manipulation. A detailed unde…