Shan Luo

Shan Luo

An enthusiastic robotics researcher at King's College London

Publication

My citation profile can be found in Google Scholar.

Please email me if you require a copy of the paper.

2026

Journal articles

  1. Z. Chen, N. Ou, X. Zhang, Z. Wu, Y. Zhao, Y. Wang, N. Lepora, L. Jamone, J. Deng, and S. Luo, “Training Tactile Sensors to Learn Force Sensing from Each Other”, Nature Communications, 2026.
  2. X. Zhang, J. Jiang, Z. Chen, Y. Zhao, T. Yang, D.F. Gomes, J. Wang, and S. Luo, “SimTac: A Physics-Based Simulator for Vision-Based Tactile Sensing with Biomorphic Structures”, Cyborg and Bionic Systems, 2026.
  3. Y. Zhao, X. Zhang, Z. Chen, M. Leonetti, E. Spyrakos-Papastavridis, and S. Luo, Visual-Tactile Peg-in-Hole Assembly Learning from Peg-out-of-Hole Disassembly”, IEEE Robotics and Automation Letters, 2026.
  4. A. Liu, K. Qian, Z. Yue, Z. Wang, B. Duan, and S. Luo, “Learning Physics-Aware Sensorimotor Model with Visual-Tactile Sensing for Deformable Linear Object Manipulation”, IEEE Transactions on Mechatronics, 2026.
  5. L. Tong, K. Qian, Z. Yue, and S. Luo, “ViTaDex: Vision-Tactile Fusion for 6-D Object-in-Hand Pose Estimation in Dexterous Anthropomorphic Manipulation”, IEEE Transactions on Industrial Informatics, 2026.
  6. H. Wang, H. Yu, S. Luo, J. Xi, “LESE-GAE: Lightweight Environment Skeletonization and Ellipse-Heuristic Goal-Motivated Autonomous Exploration”, IEEE Transactions on Industrial Electronics, 2026.
  7. Q. Cong, S. Oh, W. Fan, S. Luo, K. Althoefer, and D. Zhang, “TacEva: A Performance Evaluation Framework For Vision-Based Tactile Sensors”, Advanced Intelligent Systems, 2026.

Conference proceedings

  1. Z. Wu, R. A. Potamias, X. Zhang, Z. Zhang, J. Deng, and S. Luo, “CEDex: Cross-Embodiment Dexterous Grasp Generation at Scale from Human-like Contact Representations”, IEEE International Conference on Robotics and Automation (ICRA), 2026.
  2. Tijani, Z. Chen, J. Deng, and S. Luo, “MagicSkin: Balancing Marker and Markerless Modes in Vision-Based Tactile Sensors with a Translucent Skin”, IEEE International Conference on Robotics and Automation (ICRA), 2026.
  3. Y. Zhao, H. Luo, Y. Wang, E. Spyrakos-Papastavridis, Y. Demiris, and S. Luo, “ViTac-Tracing: Visual-Tactile Imitation Learning of Deformable Object Tracing”, IEEE International Conference on Robotics and Automation (ICRA), 2026.
  4. F. Ni, Z. Chen, Y. Yuan, Z. Dong, X. Yao, S. Luo, J. HAO, J. Deng, S. Zafeiriou, “SemanticVLA: Towards Semantic Reasoning over Action Memorization via Synergistic Explicit Trace and Latent Action Planning”, IEEE/CVF Conference on Computer Vision and Pattern Recognition Conference (CVPR), 2026.
  5. C. Hu, K. Motaghedolhagh, U. Hammerbeck, S. Luo, L. Gionfrida, “PointGrasp: Point Cloud-based Grasp Intent Detection for a Soft Exoskeleton Glove”, IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2026.
  6. X. Zhu, Z. Tu, Y. Wu, S. Luo, H. Chen and Y. Gao “Effective Robotic Cloth Grasping through Suppressing False Discoveries”, The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026), 2026.

2025

Journal articles

  1. X. Zhu, H. Zhong, Y. Wu, S. Luo, Y. Gao, “Guiding Robotic Cloth Grasping in Darkness: Infrared Semantic Segmentation and Grasping Position Selection”, IEEE Robotics and Automation Letters, 2025.
  2. S. Gao, J. Chen, Y. Xia, X. Li, W. Ma, H. Yang, J. Li, X. Zhou, T. Jia, Y. Xu, J. Uchitel, D. Ta, P. Qi, J. Ge, Y. Guo, Y. Qin, I. Kang, W. Xu, H. Li, J. Chang, S. Luo, S. Wang, S. Luo, L. Gionfrida, C. Hu, S. Dong, Y. Guo, Y. Yuan, H. Zhang, H. Chen, Y. Pan, C. Dai, Q. Ren, R. Loureiro, T. Carlson, W. Chen, Y. Zhang, P. Kyriacou, H. Heidari, K. Nazarpour, T. Prodromakis, A. Casson, T. R Makin, G. Cauwenberghs, D. Farina, H. Zhao, “Wearable technologies for assisted mobility in the real world”, Nature Communications, 2025.
  3. S. Luo, N. Lepora, W. Yuan, K. Althoefer, G. Cheng and R. Dahiya, “Tactile Robotics: An Outlook”, IEEE Transactions on Robotics, 2025.
  4. J. Jiang, X. Zhang, D.F. Gomes, T.T. Do, and S. Luo, “RoTipBot: Robotic Handling of Thin and Flexible Objects using Rotatable Tactile Sensors”, IEEE Transactions on Robotics, 2025. Full text.
  5. J. Dan, Y. Liu, B. Sun, J. Deng† and S. Luo, “TransFace++: Rethinking the Face Recognition Paradigm with a Focus on Accuracy, Efficiency, and Security”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
  6. S. Luo, N. Lepora, W. Yuan, K. Althoefer, G. Cheng and R. Dahiya, “Guest Editorial Special Collection on Tactile Robotics”, IEEE Transactions on Robotics, 2025.
  7. Z. Wu, Y. Lin, Y. Zhao, X. Zhang, Z. Chen, N. Lepora and S. Luo, “ViTacGen: Robotic Pushing with Vision-to-Touch Generation”, IEEE Robotics and Automation Letters (RA-L), 2025.
  8. Y. Sun, J. Shan, S. Zhang, F. Sun, Z. Chen, Z. Shen, C. Stefanini, Y. Yang, S. Luo and B. Fang, “Soft Contact Simulation and Manipulation Learning of Deformable Objects with Vision-based Tactile Sensor”, IEEE Transactions on Automation Science and Engineering, 2025.
  9. L. Tong, K. Qian, Z. Yue and S. Luo, “Can Vision Feel Touch? Tactile-aware Visual Grasping for Transparent Objects”, IEEE Transactions on Circuits and Systems for Video Technology, 2025.
  10. C. Hu, E. Tricomi, E. Rho, D. Kim, L. Masia, S. Luo and L. Gionfrida, “Point Cloud-based Grasping for Soft Hand Exoskeleton”, Robotics and Automation Letters, 2025.
  11. C. Hu, S. Luo and L. Gionfrida, “OVGrasp: Open-Vocabulary Grasping Assistance via Multimodal Intent Detection”, Computer Vision and Image Understanding, 2025.
  12. A. Liu, K. Qian, B. Duan and S. Luo, “Dynamic Contrastive Koopman Operator for Tactile Servo of Deformable Linear Objects”, IEEE Transactions on Industrial Electronics, 2025.

Conference proceedings

  1. Z. Wu, Y. Zhao, and S. Luo, “ConViTac: Aligning Visual-Tactile Fusion with Contrastive Representations”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025.
  2. Z. Chen, N. Ou, X. Zhang and S. Luo, “TransForce: Transferable Force Prediction for Vision-based Tactile Sensors with Sequential Image Translation”, IEEE International Conference on Robotics and Automation (ICRA), 2025.
  3. K. Alexandridis, I. Elezi, J. Deng, A. Nguyen, S. Luo, “Fractal Calibration for long-tailed object detection”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
  4. J. Yu, Z. Sun, C. B. Chen, J. Yang, S. Luo, “Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on “4th Pixel-level Video Understanding in the Wild Challenge”, 2025.
  5. J. Yu, Z. Sun, C. B. Chen, J. Yang, S. Luo, “MagicMask: A Real-time and High-fidelity Face Swapping Method Robust to Face Pose”, The 17th Asian Conference on Machine Learning, 2025.
  6. C. Hu, T. Neate, S. Luo, L. Gionfrida, “MultiClear: Multimodal Soft Exoskeleton Glove for Transparent Object Grasping Assistance”, Annual Conference Towards Autonomous Robotic Systems (TAROS), 2025. Best Paper Award.

2024

Journal articles

  1. C. Zhang, M. Li, Z. Wu, C.G. Zhao, H. Yuan, J. Xie, G. Xu, J. Li, and S. Luo*, “A Haptic Feedback Sleeve for a Flight Video Game”, IEEE Transactions on Haptics, 2024.
  2. B. Duan, K. Qian, A. Liu and S. Luo*, “Visual-tactile Learning of Robotic Cable-In-Duct Installation Skills”, Automation in Construction, 2024.
  3. D. Zhang, W. Fan, J. Lin, H. Li, Q. Cong, W. Liu, N. Lepora, and S. Luo*, “Design and Benchmarking of A Multi-Modality Sensor for Robotic Manipulation with GAN-Based Cross-Modality Interpretation”, IEEE Transactions on Robotics, 2024.
  4. N. Ou, Z. Chen and S. Luo*, “Marker or Markerless? Mode-Switchable Optical Tactile Sensing for Diverse Robot Tasks”, IEEE Robotics and Automation Letters, 2024.
  5. Q. Li, G. Li, C. Yu, S. Luo*, and J. Ding, “Human-Like Locomotion and Manipulation: Current Achievements and Challenges”, International Journal of Humanoid Robotics, 2024.
  6. Y. Zhao, K. Qian, B. Duan, and S. Luo*, “FOTS: A Fast Optical Tactile Simulator for Sim2Real Learning of Tactile-motor Robot Manipulation Skills”, IEEE Robotics and Automation Letters, 2024.
  7. S. Li, Z. Wang, C. Wu, X. Li, S. Luo, B. Fang, F. Sun, X. Zhang, W. Ding, “When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors from the Signal Processing Perspective”, IEEE Journal of Selected Topics in Signal Processing, 2024.
  8. G. Cao, J. Jiang, D. Bollegala and S. Luo*, “Multimodal Zero-Shot Learning for Tactile Texture Recognition”, Robotics and Autonomous Systems, 2024.
  9. Y. Luo, J. Wang, Y. Pan, S. Luo, P. Irani, H.N. Liang, “Visual augmentation of live-streaming images in virtual reality to enhance teleoperation of unmanned ground vehicles”, Frontiers in Virtual Reality, 2024.
  10. J. Yu, J. Jiang, S. Fichera, P. Paoletti, L. Layzell, D. Mehta, S. Luo*, “Road Surface Defect Detection – From Image-based to Non-image-based: A Survey”, IEEE Transactions on Intelligent Transportation Systems, 2024.

Conference proceedings

  1. J. Wojcik, J. Jiang, J. Wu and S. Luo, “A Case Study on Visual-Audio-Tactile Cross-Modal Retrieval”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
  2. Z. Chen, N. Ou, J. Jiang and S. Luo, “Deep Domain Adaptation Regression for Force Calibration of Optical Tactile Sensors”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
  3. J. Dan, Y. Liu, J. Deng, H. Xie, S. Li, B. Sun, and S. Luo, “TopoFR: A Closer Look at Topology Alignment on Face Recognition”, Conference on Neural Information Processing Systems (NeuRIPS), 2024.
  4. K. Alexandridis, J. Deng, A. Nguyen, S. Luo, “Adaptive Parametric Activation”, European Conference on Computer Vision (ECCV), 2024.
  5. J. Yu, C. B. chen, S. Fichera, P. Paoletti, D. Mehta, S. Luo, “Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing”, IEEE International Conference on Robotics and Automation (ICRA), 2024.
  6. W. Fan, H. Li, W. Si, S. Luo, N. Lepora, D. Zhang, “Vitactip: Design and verification of a novel biomimetic physical vision-tactile fusion sensor”, IEEE International Conference on Robotics and Automation (ICRA), 2024.
  7. E. Y. Puang, Z. Li, C. M. Chew, S. Luo, Y. Wu, “Learning Stable Robot Grasping with Transformer-based Tactile Control Policies”, The 19th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2024. Best Paper Award finalist

2023

  1. J. Jiang, G. Cao, J. Deng, T.T. Do and S. Luo, “Robotic Perception of Transparent Objects - A Review”, IEEE Transactions on Artificial Intelligence, 2023.
  2. Z. Lin, J. Zhuang, Y. Li, X. Wu, S. Luo, D. F. Gomes, F. Huang, and Z. Yang, “GelFinger: A Novel Visual-Tactile Sensor with Multi-Angle Tactile Image Stitching”, IEEE Robotics and Automation Letters, 2023. K.P. Alexandridis, S. Luo, A. Nguyen, J. Deng, S. Zafeiriou, “Inverse Image Frequency for Long-tailed Image Recognition”, IEEE Transactions on Image Processing, 2023.
  3. G. Cao, J. Jiang, D. Bollegala, and S. Luo, “Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.
  4. A. Butterworth, G. Pizzuto, L. Pecyna, A. I. Cooper and S. Luo, “Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories”, IEEE International Conference on Automation Science and Engineering (CASE), 2023.
  5. D. F. Gomes, P. Paoletti and S. Luo, “Beyond Flat GelSight Sensors: Simulation of Optical Tactile Sensors of Complex Morphologies for Sim2Real Learning”, Robotics: Science and Systems (RSS), 2023.
  6. X. Jing, K. Qian, T. Jianu and S. Luo, “Unsupervised Adversarial Domain Adaptation for Sim-to-Real Transfer of Tactile Images”, IEEE Transactions on Measurement and Instrumentation, 2023.
  7. G. Cao, J. Jiang, C. Lu, D. F. Gomes and S. Luo, “TouchRoller: A Rolling Optical Tactile Sensor for Rapid Assessment of Large Surfaces”, Sensors, 2023.
  8. M Li, J Wang, S Yang, J Xie, G Xu, S. Luo, “A CNN-LSTM Model for Six Human Ankle Movements Classification on Different Loads”, Frontiers in Human Neuroscience, 17(82), 2023.
  9. G. Cao, J. Jiang, N. Mao, D. Bollegala, M. Li, S. Luo, “Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation”, IEEE International Conference on Robotics and Automation (ICRA), 2023.
  10. J. Yu, H. Oh, S. Fichera, P. Paoletti, and S. Luo, “Multi-source Domain Adaptation for Unsupervised Road Defect Segmentation”, IEEE International Conference on Robotics and Automation (ICRA), 2023.
  11. Z. Chen, S. Zhang, S. Luo, F. Sun, and B. Fang, “Tacchi: A Pluggable and Low Computational Cost Elastomer Deformation Simulator for Optical Tactile Sensors”, IEEE Robotics and Automation Letters, 2023.
  12. Z. Xiao, C. Liu, S. Luo, K. Huang, H. Gao, X. Xu, X. Wang, “A collaborative and dynamic multi-source single-destination navigation algorithm for smart cities”, Sustainable Energy Technologies and Assessments, 2023.
  13. Y.B. Liou, S. Luo, and Y.C. Liu, “Development of a Robot-assisted Virtual Rehabilitation System with Haptic Feedback”, IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2023).

2022

  1. J. Jiang, G. Cao, A. Butterworth, T.-T. Do and S. Luo, “Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping”, IEEE/ASME Transactions on Mechatronics, 2022.
  2. J. Jiang, G. Cao, T.T. Do, S. Luo, “A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation”, IEEE Robotics and Automation Letters & IEEE International Conference on Automation Science and Engineering (CASE 2022) - Best Student Paper Finalist, 2022.
  3. C. Yang, S. Luo, N. Lepora, F. Ficuciello, D. Lee, W. Wan, and C-Y. Su, “Biomimetic Perception, Cognition, and Control: From Nature to Robots”, IEEE Robotics and Automation Magazine, 2022
  4. Y. Zhao, X. Jing, K. Qian, D. F. Gomes, S. Luo, “Skill Generalization of Tubular Object Manipulation with Tactile Sensing and Sim2Real Learning”, Robotics and Autonomous Systems, 2022.
  5. L. Pecyna, S. Dong, S. Luo, “Visual-Tactile Multimodality for Following Deformable Linear Objects Using Reinforcement Learning”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
  6. K. Alexandridis, J. Deng, A. Nguyen, S. Luo, “Long-tailed Instance Segmentation using Gumbel Optimized Loss”, European Conference on Computer Vision (ECCV), 2022.
  7. K. Qian, X. Xu, H. Liu, J. Bai, S. Luo, “Environment-adaptive learning from demonstration for proactive assistance in human–robot collaborative tasks”, Robotics and Autonomous Systems, 2022.
  8. M. Li, Z. Wu, C.G. Zhao, H. Yuan, T. Wang, J. Xie, G. Xu, S. Luo, “Facial Expressions-controlled Flight Game with Haptic Feedback for Stroke Rehabilitation: A Proof-of-Concept Study”, IEEE Robotics and Automation Letters, 2022.
  9. B. Zhang, J. Xiao, Y. Wei, K. Huang, S. Luo, Y. Zhao, “End-to-End Weakly Supervised Semantic Segmentation with Reliable Region Mining”, Pattern Recognition, 2022.
  10. T. Jianu, D.F. Gomes, S. Luo, “Reducing Tactile Sim2Real Domain Gaps via Deep Texture Generation Networks”, IEEE International Conference on Robotics and Automation (ICRA), 2022.
  11. M. Pitsikalis, T.-T. Do, A. Lisitsa, S. Luo, “Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification”, International Joint Conference on Artificial Intelligence (IJCAI), 2022.
  12. Y. Luo, J. Wang, Y. Pan, S. Luo, P. Irani and H.-N. Liang “Teleoperation of a Fast, Omnidirectional Unmanned Ground Vehicle in the Cyber-Physical World via a VR Interface”, 2022 The 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (ACM SIGGRAPH VRCAI 2022) - Best Paper Award.
  13. Edited Book: Qiang Li, Shan Luo, Zhaopeng Chen, Chenguang Yang, Jianwei Zhang, “Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation”, 2022.
  14. Book Chapter: S. Luo, D.F. Gomes, J. Jiang, G. Cao. “Vision sensors for robotic perception”, in “Sensory Systems for Robotic Applications”, 2022.
  15. Book Chapter: J. Jiang, S. Luo. “Robotic Perception of Object Properties using Tactile Sensing”, in “Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation”, 2022.
  16. Book Chapter: G. Cao, S. Luo. “Multimodal perception for dexterous manipulation, in “Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation”, 2022.
  17. Book Chapter: D.F. Gomes, S. Luo. “GelTip Tactile Sensor for Dexterous Manipulation in Clutter”, in “Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation”, 2022.

2021

  1. Y. Luo, J. Wang, R. Shi, H.N. Liang, S. Luo, “In-Device Feedback in Immersive Head-Mounted Displays for Distance Perception During Teleoperation of Unmanned Ground Vehicles”, IEEE Transactions on Haptics, 2021. paper link
  2. D.F. Gomes, P. Paoletti, S. Luo, “Generation of GelSight Tactile Images for Sim2Real Learning”, IEEE Robotics and Automation Letters, 2021.
  3. Y. Song, R. Koeck, S. Luo, “Review and Analysis of Augmented Reality for Digital Fabrication in Architecture”, Automation in Construction, 2021.
  4. S. Luo, N. F. Lepora, U. Martinez-Hernandez, J. Bimbo and H. Liu, “Editorial: “ViTac: Integrating Vision and Touch for Multimodal and Cross-Modal Perception”” Frontiers in Robotics and AI, 2021.
  5. M. Fisher, R. C. Cardoso, E. C. Collins, C. Dadswell, L. A. Dennis, C. Dixon, M. Farrell, A. Ferrando, X. Huang, M. Jump, G. Kourtis, A. Lisitsa, M. Luckcuck, S. Luo, V. Page, F. Papacchini, M. Webster, “An Overview of Verification and Validation Challenges for Inspection Robots”, Robotics, 2021.
  6. M. Pitsikalis, A. Lisitsa, S. Luo, “Representation and Processing of Instantaneous and Durative Temporal Phenomena”, 31st International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR), 2021.
  7. M. Pitsikalis, T.-T. Do, A. Lisitsa and S. Luo, “Ship Type Classification Using Vessel Images and AIS Data”, 5th International Joint Conference on Rules and Reasoning (RuleML+RR 2021), Harold Boley Award for the Most Promising Paper.
  8. Y. Luo, J. Wang, H.N. Liang, S. Luo, E. G. Lim, “Effect of Monoscopic vs. Stereoscopic Views and Display Types in the Teleoperation of Unmanned Ground Vehicles for Object Avoidance Tasks”, IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2021.
  9. J. Jiang, G. Cao, D.F. Gomes, S. Luo, “Vision-Guided Active Tactile Perception for Cracks Detection and Reconstruction”, IEEE Mediterranean Conference on Control and Automation (MED), 2021 (invited paper).

2020

  1. D.F. Gomes, Z. Lin, S. Luo, “Blocks World of Touch: Exploiting the advantages of all-around finger sensing in robot grasping” Frontiers in Robotics and AI, 2020.
  2. D.F. Gomes, Z. Lin, S. Luo, “GelTip: A Finger-shaped Optical Tactile Sensor for Robotic Manipulation”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
  3. G. Cao, Y. Zhou, D. Bollegala, S. Luo, “Spatio-Temporal Attention Model for Tactile Texture Recognition”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.

2019

  1. S. Luo, W. Mou, K. Althoefer, H. Liu, “iCLAP: Object Recognition by combining proprioception and tactile sensing.” Autonomous Robots, 43(4), pp 993–1004, 2019.
  2. Z. Jiang, S. Luo, “Neural Logic Reinforcement Learning”, International Conference on Machine Learning (ICML), 2019.
  3. D. F. Gomes, S. Luo, and L. F. Teixeira, GarmNet: Local and Global Perception for Robotic Laundry Folding, Towards Autonomous Robotic Systems Conference (TAROS), 2019.
  4. J. Lee, D. Bollegala, S. Luo, “Touching to See” and “Seeing to Feel”: Robotic Cross-modal Sensory Data Generation for Visual-Tactile Perception”, IEEE International Conference on Robotics and Automation (ICRA), 2019.
  5. B. Schnieders, S. Luo, G. Palmer, K. Tuyls, “Fully Convolutional One-Shot Object Segmentation for Industrial Robotics”, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019.

2018

  1. H. Peel, S. Luo, A. Cohn and R. Fuentes, “Localisation of a Mobile Robot for Bridge Bearing Inspection.” Automation in Construction, 94, 244-256, 2018.
  2. S. Luo, W. Yuan, E. Adelson, A. Cohn, R. Fuentes, “ViTac: Feature Sharing between Vision and Tactile Sensing for Cloth Texture Recognition”, IEEE International Conference on Robotics and Automation (ICRA), 2018.
  3. S. Luo, F. King, N. Hata, “Tracker-less Tracking of Bronchoscopy from an Endoscopy Camera”, IEEE International Symposium on Biomedical Imaging (ISBI), 2018.

Previous to 2018

  1. S. Luo, J. Bimbo, R. Dahiya, H. Liu, “Robotic tactile perception: A review.” Mechatronics, 48, 54-67, 2017.
  2. S. Luo, L. Zhu, K. Althoefer, H. Liu, “Knock-knock: Acoustic object recognition using Stacked Denoising Autoencoders.” Neurocomputing, 267, 18-24, 2017.
  3. C. Lam, Y. Noh, S. Luo, S. Han, M. Howard and K. Rhode, “Human finger inspired grasping structure using tactile sensing array with single type optoelectronic sensor”, IEEE Sensors Conference, 2017.
  4. L. Pauly, S. Luo, D. Hogg, R. Fuentes and H. Peel, “Deeper Networks for Pavement Crack Detection”, International Symposium on Automation and Robotics in Construction (ISARC), 2017.
  5. G. Clarkson, S. Luo, R. Fuentes, “Thermal 3D modelling”, International Symposium on Automation and Robotics in Construction (ISARC), 2017.
  6. H. Peel, A. Cohn, Raul Fuentes and S. Luo, “An improved robot for bridge inspection”, International Symposium on Automation and Robotics in Construction (ISARC), 2017.
  7. J. Bimbo, S. Luo, K. Althoefer, H. Liu, “In-hand object pose estimation using tactile to geometry matching.” IEEE Robotics and Automation Letters, 1 (1), 570-577, 2016.
  8. M. Li, S. Sareh, G. Xu, M.B. Ridzuan, S. Luo, J. Xie, H. Wurdemann, K. Althoefer, “Evaluation of pseudo-haptic interactions with soft objects”, PLoS One, 11 (6), 2016.
  9. S. Luo, W. Mou, K. Althoefer, H. Liu, “Iterative Closest Labelled Point for tactile object recognition.” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016.
  10. M. Li, S. Luo, G. Xu, “Tactile sensing feedback system for tumor localization.” International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2016 (Best Poster Finalists).
  11. S. Luo, W. Mou, K. Althoefer, H. Liu, “Novel Tactile-SIFT descriptor for object shape recognition.” IEEE Sensors Journal, 15 (9), 5001-5009, 2015.
  12. S. Luo, X. Liu, K. Althoefer, H. Liu, “Tactile object recognition with semi-supervised learning.” International Conference on Intelligent Robotics and Applications (ICIRA), 15-26, 2015.
  13. S. Luo, W. Mou, K. Althoefer, H. Liu, “Localizing the object contact through matching tactile features with visual map.” IEEE International Conference on Robotics and Automation (ICRA), 2015.
  14. S. Luo, W. Mou, K. Althoefer, H. Liu, “Rotation and translation invariant object recognition with a tactile sensor.” IEEE Sensors Conference, 1030 - 1033, 2014.
  15. M. Li, S. Luo, T. Nanayakkara, L.D. Seneviratne, P. Dasgupta, K. Althoefer, “Multi-fingered haptic palpation using pneumatic actuators.” Sensors and Actuators A: Physical, 218, 132-141, 2014.
  16. M. Li, S. Luo, L.D. Seneviratne, T. Nanayakkara, K. Althoefer, P. Dasgupta, “Haptics for multi-fingered palpation.”, IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2013.
  17. H. Xie, H. Liu, S. Luo, L.D. Seneviratne, K. Althoefer, “Fiber optics tactile array probe for tissue palpation.” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013.