Shan Luo

Shan Luo

University of Liverpool

H-index: 21

Europe-United Kingdom

About Shan Luo

Shan Luo, With an exceptional h-index of 21 and a recent h-index of 21 (since 2020), a distinguished researcher at University of Liverpool, specializes in the field of Robotics, Robot Perception, Tactile Sensing, Computer Vision, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Road Surface Defect Detection--From Image-based to Non-image-based: A Survey

Multimodal Zero-Shot Learning for Tactile Texture Recognition

Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing

ViTacTip: Design and Verification of a Novel Biomimetic Physical Vision-Tactile Fusion Sensor

Skill generalization of tubular object manipulation with tactile sensing and Sim2Real learning

Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation

Tacchi: A pluggable and low computational cost elastomer deformation simulator for optical tactile sensors

Robotic Perception of Transparent Objects: A Review

Shan Luo Information

University

Position

Lecturer (Assistant Professor)

Citations(all)

2040

Citations(since 2020)

1792

Cited By

756

hIndex(all)

21

hIndex(since 2020)

21

i10Index(all)

36

i10Index(since 2020)

35

Email

University Profile Page

Google Scholar

Shan Luo Skills & Research Interests

Robotics

Robot Perception

Tactile Sensing

Computer Vision

Machine Learning

Top articles of Shan Luo

Road Surface Defect Detection--From Image-based to Non-image-based: A Survey

2024/2/6

Multimodal Zero-Shot Learning for Tactile Texture Recognition

Robotics and Autonomous Systems

2024/3/20

Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing

arXiv preprint arXiv:2402.04064

2024/2/6

ViTacTip: Design and Verification of a Novel Biomimetic Physical Vision-Tactile Fusion Sensor

arXiv preprint arXiv:2402.00199

2024/1/31

Skill generalization of tubular object manipulation with tactile sensing and Sim2Real learning

Robotics and Autonomous Systems

2023/2/1

Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation

2023/1/17

Tacchi: A pluggable and low computational cost elastomer deformation simulator for optical tactile sensors

IEEE Robotics and Automation Letters

2023/1/16

Robotic Perception of Transparent Objects: A Review

IEEE Transactions on Artificial Intelligence

2023/10

Inverse Image Frequency for Long-tailed Image Recognition

TIP

2022/9/11

Development of a Robot-assisted Virtual Rehabilitation System with Haptic Feedback

2023/8/28

Shan Luo
Shan Luo

H-Index: 15

GelFinger: A Novel Visual-Tactile Sensor with Multi-Angle Tactile Image Stitching

IEEE Robotics and Automation Letters

2023/8/4

Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)

2023/7/14

Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories

2023/8/26

Leszek Pecyna
Leszek Pecyna

H-Index: 2

Shan Luo
Shan Luo

H-Index: 15

Multi-source domain adaptation for unsupervised road defect segmentation

2023/5/29

Beyond Flat GelSight Sensors: Simulation of Optical Tactile Sensors of Complex Morphologies for Sim2Real Learning

arXiv preprint arXiv:2305.12605

2023/5/21

Unsupervised adversarial domain adaptation for sim-to-real transfer of tactile images

IEEE Transactions on Instrumentation and Measurement

2023/4/20

Kun Qian
Kun Qian

H-Index: 8

Shan Luo
Shan Luo

H-Index: 15

A collaborative and dynamic multi-source single-destination navigation algorithm for smart cities

Sustainable Energy Technologies and Assessments

2023/3/1

Touchroller: A rolling optical tactile sensor for rapid assessment of textures for large surface areas

Sensors

2023/2/28

A CNN-LSTM Model for Six Human Ankle Movements Classification on Different Loads

Frontiers in Human Neuroscience

2023/2

Biomimetic perception, cognition, and control: from nature to robots [From the Guest Editors]

IEEE Robotics & Automation Magazine

2022/12/7

See List of Professors in Shan Luo University(University of Liverpool)

Co-Authors

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