2 citations · 2 across the 7 of their papers we have counts for
7 papers
MLLM-Fabric: Multimodal Large Language Model-Driven Robotic Framework for Fabric Sorting and Selection
Liman Wang, Hanyang Zhong, Tianyuan Wang +2
Choosing appropriate fabrics is critical for meeting functional and quality demands in robotic textile manufacturing, apparel production, and smart retail. We propose MLLM-Fabric,…
Design and Benchmarking of A Multi-Modality Sensor for Robotic Manipulation with GAN-Based Cross-Modality Interpretation
Dandan Zhang, Wen Fan, Jialin Lin +5
In this paper, we present the design and benchmark of an innovative sensor, ViTacTip, which fulfills the demand for advanced multi-modal sensing in a compact design. A notable feat…
Marker or Markerless? Mode-Switchable Optical Tactile Sensing for Diverse Robot Tasks
Ni Ou, Zhuo Chen, Shan Luo
Optical tactile sensors play a pivotal role in robot perception and manipulation tasks. The membrane of these sensors can be painted with markers or remain markerless, enabling the…
FOTS: A Fast Optical Tactile Simulator for Sim2Real Learning of Tactile-motor Robot Manipulation Skills
Yongqiang Zhao, Kun Qian, Boyi Duan +1
Simulation is a widely used tool in robotics to reduce hardware consumption and gather large-scale data. Despite previous efforts to simulate optical tactile sensors, there remain…
Road Surface Defect Detection -- From Image-based to Non-image-based: A Survey
Jongmin Yu, Jiaqi Jiang, Sebastiano Fichera +4
Ensuring traffic safety is crucial, which necessitates the detection and prevention of road surface defects. As a result, there has been a growing interest in the literature on the…
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing
Jongmin Yu, Chen Bene Chi, Sebastiano Fichera +3
Road pavement detection and segmentation are critical for developing autonomous road repair systems. However, developing an instance segmentation method that simultaneously perform…
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…