Publication
My citation profile can be found in Google Scholar.
Please email me if you require a copy of the paper.
2023
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
2022
- 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.
- 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.
- 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
- 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.
- 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.
- K. Alexandridis, J. Deng, A. Nguyen, S. Luo, “Long-tailed Instance Segmentation using Gumbel Optimized Loss”, European Conference on Computer Vision (ECCV), 2022.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Edited Book: Qiang Li, Shan Luo, Zhaopeng Chen, Chenguang Yang, Jianwei Zhang, “Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation”, 2022.
- Book Chapter: S. Luo, D.F. Gomes, J. Jiang, G. Cao. “Vision sensors for robotic perception”, in “Sensory Systems for Robotic Applications”, 2022.
- Book Chapter: J. Jiang, S. Luo. “Robotic Perception of Object Properties using Tactile Sensing”, in “Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation”, 2022.
- Book Chapter: G. Cao, S. Luo. “Multimodal perception for dexterous manipulation, in “Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation”, 2022.
- 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
- 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
- D.F. Gomes, P. Paoletti, S. Luo, “Generation of GelSight Tactile Images for Sim2Real Learning”, IEEE Robotics and Automation Letters, 2021.
- Y. Song, R. Koeck, S. Luo, “Review and Analysis of Augmented Reality for Digital Fabrication in Architecture”, Automation in Construction, 2021.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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.
- 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
- 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.
- Z. Jiang, S. Luo, “Neural Logic Reinforcement Learning”, International Conference on Machine Learning (ICML), 2019.
- 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.
- 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.
- 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
- 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.
- 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.
- 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
- S. Luo, J. Bimbo, R. Dahiya, H. Liu, “Robotic tactile perception: A review.” Mechatronics, 48, 54-67, 2017.
- S. Luo, L. Zhu, K. Althoefer, H. Liu, “Knock-knock: Acoustic object recognition using Stacked Denoising Autoencoders.” Neurocomputing, 267, 18-24, 2017.
- 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.
- 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.
- G. Clarkson, S. Luo, R. Fuentes, “Thermal 3D modelling”, International Symposium on Automation and Robotics in Construction (ISARC), 2017.
- 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.
- 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.
- 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.
- 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.
- 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).
- S. Luo, W. Mou, K. Althoefer, H. Liu, “Novel Tactile-SIFT descriptor for object shape recognition.” IEEE Sensors Journal, 15 (9), 5001-5009, 2015.
- 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.
- 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.
- S. Luo, W. Mou, K. Althoefer, H. Liu, “Rotation and translation invariant object recognition with a tactile sensor.” IEEE Sensors Conference, 1030 - 1033, 2014.
- 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.
- 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.
- 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.