1 citations · 2 across the 6 of their papers we have counts for
6 papers
MagicGripper: A Multimodal Sensor-Integrated Gripper for Contact-Rich Robotic Manipulation
Wen Fan, Haoran Li, Dandan Zhang
Contact-rich manipulation in unstructured environments demands precise, multimodal perception to enable robust and adaptive control. Vision-based tactile sensors (VBTSs) have emerg…
CrystalTac: 3D-Printed Vision-Based Tactile Sensor Family through Rapid Monolithic Manufacturing Technique
Wen Fan, Haoran Li, Dandan Zhang
Recently, vision-based tactile sensors (VBTSs) have gained popularity in robotics systems. The sensing mechanisms of most VBTSs can be categorised based on the type of tactile feat…
MagicTac: A Novel High-Resolution 3D Multi-layer Grid-Based Tactile Sensor
Wen Fan, Haoran Li, Dandan Zhang
Accurate robotic control over interactions with the environment is fundamentally grounded in understanding tactile contacts. In this paper, we introduce MagicTac, a novel high-reso…
ViTacTip: Design and Verification of a Novel Biomimetic Physical Vision-Tactile Fusion Sensor
Wen Fan, Haoran Li, Weiyong Si +3
Tactile sensing is significant for robotics since it can obtain physical contact information during manipulation. To capture multimodal contact information within a compact framewo…
TacFR-Gripper: A Reconfigurable Fin Ray-Based Compliant Robotic Gripper with Tactile Skin for In-Hand Manipulation
Qingzheng Cong, Wen Fan, Dandan Zhang
This paper introduces the TacFR-Gripper, a reconfigurable Fin Ray-based soft and compliant robotic gripper equipped with tactile skin, which can be used for dexterous in-hand manip…
Tac-VGNN: A Voronoi Graph Neural Network for Pose-Based Tactile Servoing
Wen Fan, Max Yang, Yifan Xing +2
Tactile pose estimation and tactile servoing are fundamental capabilities of robot touch. Reliable and precise pose estimation can be provided by applying deep learning models to h…