286 citations · 542 across the 33 of their papers we have counts for
9 papers · 1 filter
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…
Robotic Perception of Object Properties using Tactile Sensing
Jiaqi Jiang, Shan Luo
The sense of touch plays a key role in enabling humans to understand and interact with surrounding environments. For robots, tactile sensing is also irreplaceable. While interactin…
GelTip Tactile Sensor for Dexterous Manipulation in Clutter
Daniel Fernandes Gomes, Shan Luo
Tactile sensing is an essential capability for robots that carry out dexterous manipulation tasks. While cameras, Lidars and other remote sensors can assess a scene globally and in…
Reducing Tactile Sim2Real Domain Gaps via Deep Texture Generation Networks
Tudor Jianu, Daniel Fernandes Gomes, Shan Luo
Recently simulation methods have been developed for optical tactile sensors to enable the Sim2Real learning, i.e., firstly training models in simulation before deploying them on th…
Monoscopic vs. Stereoscopic Views and Display Types in the Teleoperation of Unmanned Ground Vehicles for Object Avoidance
Yiming Luo, Jialin Wang, Hai-Ning Liang +2
Virtual reality (VR) head-mounted displays (HMD) have recently been used to provide an immersive, first-person vision/view in real-time for manipulating remotely-controlled unmanne…
Simultaneous Multi-View Object Recognition and Grasping in Open-Ended Domains
Hamidreza Kasaei, Sha Luo, Remo Sasso +1
To aid humans in everyday tasks, robots need to know which objects exist in the scene, where they are, and how to grasp and manipulate them in different situations. Therefore, obje…