2024
Cao, G., Jiang, J., Bollegala, D., Li, M., & Luo, S. (2024). Multimodal zero-shot learning for tactile texture recognition. Robotics and Autonomous Systems, 176, 104688. doi:10.1016/j.robot.2024.104688DOI: 10.1016/j.robot.2024.104688
Yu, J., Jiang, J., Fichera, S., Paoletti, P., Layzell, L., Mehta, D., & Luo, S. (2024). Road Surface Defect Detection—From Image-Based to Non-Image-Based: A Survey. IEEE Transactions on Intelligent Transportation Systems, 1-23. doi:10.1109/tits.2024.3382837DOI: 10.1109/tits.2024.3382837
2023
Alexandridis, K. P., Luo, S., Nguyen, A., Deng, J., & Zafeiriou, S. (2023). Inverse Image Frequency for Long-Tailed Image Recognition. IEEE Transactions on Image Processing, 32, 5721-5736. doi:10.1109/tip.2023.3321461DOI: 10.1109/tip.2023.3321461
GelFinger: A Novel Visual-Tactile Sensor With Multi-Angle Tactile Image Stitching (Journal article)
Lin, Z., Zhuang, J., Li, Y., Wu, X., Luo, S., Gomes, D. F., . . . Yang, Z. (2023). GelFinger: A Novel Visual-Tactile Sensor With Multi-Angle Tactile Image Stitching. IEEE ROBOTICS AND AUTOMATION LETTERS, 8(9), 5982-5989. doi:10.1109/LRA.2023.3302191DOI: 10.1109/LRA.2023.3302191
Tacchi: A Pluggable and Low Computational Cost Elastomer Deformation Simulator for Optical Tactile Sensors (Journal article)
Chen, Z., Zhang, S., Luo, S., Sun, F., & Fang, B. (2023). Tacchi: A Pluggable and Low Computational Cost Elastomer Deformation Simulator for Optical Tactile Sensors. IEEE ROBOTICS AND AUTOMATION LETTERS, 8(3), 1239-1246. doi:10.1109/LRA.2023.3237042DOI: 10.1109/LRA.2023.3237042
Skill generalization of tubular object manipulation with tactile sensing and Sim2Real learning (Journal article)
Zhao, Y., Jing, X., Qian, K., Gomes, D. F., & Luo, S. (2023). Skill generalization of tubular object manipulation with tactile sensing and Sim2Real learning. ROBOTICS AND AUTONOMOUS SYSTEMS, 160. doi:10.1016/j.robot.2022.104321DOI: 10.1016/j.robot.2022.104321
Robotic Perception of Transparent Objects: A Review (Journal article)
Jiang, J., Cao, G., Deng, J., Do, T. -T., & Luo, S. (2024). Robotic Perception of Transparent Objects: A Review. IEEE Transactions on Artificial Intelligence, 1-21. doi:10.1109/tai.2023.3326120DOI: 10.1109/tai.2023.3326120
Unsupervised Adversarial Domain Adaptation for Sim-to-Real Transfer of Tactile Images (Journal article)
Jing, X., Qian, K., Jianu, T., & Luo, S. (2023). Unsupervised Adversarial Domain Adaptation for Sim-to-Real Transfer of Tactile Images. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 72. doi:10.1109/TIM.2023.3268458DOI: 10.1109/TIM.2023.3268458
2022
Teleoperation of a Fast Omnidirectional Unmanned Ground Vehicle in the Cyber-Physical World via a VR Interface (Conference Paper)
Luo, Y., Wang, J., Pan, Y., Luo, S., Irani, P., & Liang, H. -N. (2022). Teleoperation of a Fast Omnidirectional Unmanned Ground Vehicle in the Cyber-Physical World via a VR Interface. In Proceedings of the 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry. ACM. doi:10.1145/3574131.3574432DOI: 10.1145/3574131.3574432
A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation (Journal article)
Jiang, J., Cao, G., Thanh-Toan, D., & Luo, S. (2022). A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation. IEEE ROBOTICS AND AUTOMATION LETTERS, 7(4), 9826-9833. doi:10.1109/LRA.2022.3191231DOI: 10.1109/LRA.2022.3191231
Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping (Journal article)
Jiang, J., Cao, G., Butterworth, A., Thanh-Toan, D., & Luo, S. (2022). Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping. IEEE-ASME TRANSACTIONS ON MECHATRONICS. doi:10.1109/TMECH.2022.3201057DOI: 10.1109/TMECH.2022.3201057
End-to-end weakly supervised semantic segmentation with reliable region mining (Journal article)
Zhang, B., Xiao, J., Wei, Y., Huang, K., Luo, S., & Zhao, Y. (2022). End-to-end weakly supervised semantic segmentation with reliable region mining. PATTERN RECOGNITION, 128. doi:10.1016/j.patcog.2022.108663DOI: 10.1016/j.patcog.2022.108663
Facial Expressions-Controlled Flight Game With Haptic Feedback for Stroke Rehabilitation: A Proof-of-Concept Study (Journal article)
Li, M., Wu, Z., Zhao, C. -G., Yuan, H., Wang, T., Xie, J., . . . Luo, S. (2022). Facial Expressions-Controlled Flight Game With Haptic Feedback for Stroke Rehabilitation: A Proof-of-Concept Study. IEEE ROBOTICS AND AUTOMATION LETTERS, 7(3), 6351-6358. doi:10.1109/LRA.2022.3170214DOI: 10.1109/LRA.2022.3170214
Environment-adaptive learning from demonstration for proactive assistance in human-robot collaborative tasks (Journal article)
Qian, K., Xu, X., Liu, H., Bai, J., & Luo, S. (2022). Environment-adaptive learning from demonstration for proactive assistance in human-robot collaborative tasks. ROBOTICS AND AUTONOMOUS SYSTEMS, 151. doi:10.1016/j.robot.2022.104046DOI: 10.1016/j.robot.2022.104046
In-Device Feedback in Immersive Head-Mounted Displays for Distance Perception During Teleoperation of Unmanned Ground Vehicles (Journal article)
Luo, Y., Wang, J., Shi, R., Liang, H. -N., & Luo, S. (2022). In-Device Feedback in Immersive Head-Mounted Displays for Distance Perception During Teleoperation of Unmanned Ground Vehicles. IEEE TRANSACTIONS ON HAPTICS, 15(1), 79-84. doi:10.1109/TOH.2021.3138590DOI: 10.1109/TOH.2021.3138590
Long-Tailed Instance Segmentation Using Gumbel Optimized Loss (Chapter)
Alexandridis, K. P., Deng, J., Nguyen, A., & Luo, S. (2022). Long-Tailed Instance Segmentation Using Gumbel Optimized Loss. In Unknown Book (Vol. 13670, pp. 353-369). doi:10.1007/978-3-031-20080-9_21DOI: 10.1007/978-3-031-20080-9_21
2021
Pitsikalis, M., Thanh-Toan, D., Lisitsa, A., & Luo, S. (2021). Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification. In RULES AND REASONING, RULEML+RR 2021 Vol. 12851 (pp. 203-217). doi:10.1007/978-3-030-91167-6_14DOI: 10.1007/978-3-030-91167-6_14
Pitsikalis, M., Lisitsa, A., & Luo, S. (2022). Representation and Processing of Instantaneous and Durative Temporal Phenomena. LOGIC-BASED PROGRAM SYNTHESIS AND TRANSFORMATION (LOPSTR 2021), 13290, 135-156. doi:10.1007/978-3-030-98869-2_8DOI: 10.1007/978-3-030-98869-2_8
Luo, Y., Wang, J., Liang, H. -N., Luo, S., & Lim, E. G. (2021). Monoscopic vs. Stereoscopic Views and Display Types in the Teleoperation of Unmanned Ground Vehicles for Object Avoidance. In 2021 30TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN) (pp. 418-425). doi:10.1109/RO-MAN50785.2021.9515455DOI: 10.1109/RO-MAN50785.2021.9515455
Jiang, J., Cao, G., Gomes, D. F., & Luo, S. (2021). Vision-Guided Active Tactile Perception for Crack Detection and Reconstruction. In 2021 29th Mediterranean Conference on Control and Automation (MED). IEEE. doi:10.1109/med51440.2021.9480274DOI: 10.1109/med51440.2021.9480274
Luo, S., Lepora, N. F., Martinez-Hernandez, U., Bimbo, J., & Liu, H. (2021). Editorial: ViTac: Integrating Vision and Touch for Multimodal and Cross-Modal Perception.. Frontiers in robotics and AI, 8, 697601. doi:10.3389/frobt.2021.697601DOI: 10.3389/frobt.2021.697601
Generation of GelSight Tactile Images for Sim2Real Learning (Journal article)
Gomes, D. F., Paoletti, P., & Luo, S. (2021). Generation of GelSight Tactile Images for Sim2Real Learning. IEEE ROBOTICS AND AUTOMATION LETTERS, 6(2), 4177-4184. doi:10.1109/LRA.2021.3063925DOI: 10.1109/LRA.2021.3063925
Fisher, M., Cardoso, R. C., Collins, E. C., Dadswell, C., Dennis, L. A., Dixon, C., . . . Webster, M. (2021). An Overview of Verification and Validation Challenges for Inspection Robots. ROBOTICS, 10(2). doi:10.3390/robotics10020067DOI: 10.3390/robotics10020067
Ar digi-componentl a r-assisted, real-time, immersive design and robotic fabrication workflow for parametric architectural structures (Conference Paper)
Song, Y., Koeck, R., & Shan, L. U. O. (2021). Ar digi-componentl a r-assisted, real-time, immersive design and robotic fabrication workflow for parametric architectural structures. In Projections - Proceedings of the 26th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2021 Vol. 2 (pp. 253-262).
2020
Gomes, D. F., Lin, Z., & Luo, S. (2020). Blocks World of Touch: Exploiting the Advantages of All-Around Finger Sensing in Robot Grasping.. Frontiers in robotics and AI, 7, 541661. doi:10.3389/frobt.2020.541661DOI: 10.3389/frobt.2020.541661
Gomes, D. F., Lin, Z., & Luo, S. (2020). GelTip: A Finger-shaped Optical Tactile Sensor for Robotic Manipulation. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. doi:10.1109/iros45743.2020.9340881DOI: 10.1109/iros45743.2020.9340881
Cao, G., Zhou, Y., Bollegala, D., & Luo, S. (2020). Spatio-temporal Attention Model for Tactile Texture Recognition. In 2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (pp. 9896-9902). doi:10.1109/IROS45743.2020.9341333DOI: 10.1109/IROS45743.2020.9341333
2019
Luo, S., Gomes, D. F., & Teixeira, L. F. (2019). GarmNet: Improving Global with Local Perception for Robotic Laundry Folding. In 20th Towards Autonomous Robotic Systems Conference. London, UK.
Luo, S., & Jiang, Z. (2019). Neural Logic Reinforcement Learning. In The Thirty-sixth International Conference on Machine Learning Vol. 97 (pp. 3110-3119). Long Beach Convention Center, Long Beach.. Retrieved from http://proceedings.mlr.press/v97/jiang19a.html
Luo, S., Mou, W., Althoefer, K., & Liu, H. (2019). iCLAP: Shape Recognition by Combining Proprioception and Touch Sensing. Autonomous Robots, 43, 993-1004. doi:10.1007/s10514-018-9777-7DOI: 10.1007/s10514-018-9777-7
Fully Convolutional One-Shot Object Segmentation for Industrial Robotics (Conference Paper)
Schnieders, B., Luo, S., Palmer, G., & Tuyls, K. (2019). Fully Convolutional One-Shot Object Segmentation for Industrial Robotics. In AAMAS '19: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (pp. 1161-1169). Retrieved from https://www.webofscience.com/
Lee, J. -T., Bollegala, D., & Luo, S. (2019). "Touching to See" and "Seeing to Feel": Robotic Cross-modal Sensory Data Generation for Visual-Tactile Perception. In 2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (pp. 4276-4282). Retrieved from https://www.webofscience.com/
2018
Luo, S., Yuan, W., Adelson, E., Cohn, A. G., & Fuentes, R. (2018). ViTac: Feature Sharing between Vision and Tactile Sensing for Cloth Texture Recognition. In 2018 IEEE International Conference on Robotics and Automation (ICRA) (pp. 2722-2727). Brisbane Convention & Exhibition Centre, Brisbane, Australia. doi:10.1109/ICRA.2018.8460494DOI: 10.1109/ICRA.2018.8460494
2017
Human finger inspired grasping structure using tactile sensing array with single type optoelectronic sensor (Conference Paper)
Lam, C., Noh, Y., Howard, M., Luo, S., Han, S., & Rhode, K. (2017). Human finger inspired grasping structure using tactile sensing array with single type optoelectronic sensor. In 2017 IEEE SENSORS. IEEE. doi:10.1109/icsens.2017.8234121DOI: 10.1109/icsens.2017.8234121
Luo, S., Zhu, L., Althoefer, K., & Liu, H. (2017). Knock-Knock: Acoustic object recognition by using stacked denoising autoencoders. Neurocomputing, 267, 18-24. doi:10.1016/j.neucom.2017.03.014DOI: 10.1016/j.neucom.2017.03.014
Robotic tactile perception of object properties: A review (Journal article)
Luo, S., Bimbo, J., Dahiya, R., & Liu, H. (2017). Robotic tactile perception of object properties: A review. MECHATRONICS, 48, 54-67. doi:10.1016/j.mechatronics.2017.11.002DOI: 10.1016/j.mechatronics.2017.11.002
Peel, H., Luo, S., Cohn, A., & Fuentes, R. (2017). An Improved Robot for Bridge Inspection. In Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC). Tribun EU, s.r.o., Brno. doi:10.22260/isarc2017/0092DOI: 10.22260/isarc2017/0092
Pauly, L., Peel, H., Luo, S., Hogg, D., & Fuentes, R. (2017). Deeper Networks for Pavement Crack Detection. In Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC). Tribun EU, s.r.o., Brno. doi:10.22260/isarc2017/0066DOI: 10.22260/isarc2017/0066
Clarkson, G., Luo, S., & Fuentes, R. (2017). Thermal 3D modelling. In Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC). Tribun EU, s.r.o., Brno. doi:10.22260/isarc2017/0068DOI: 10.22260/isarc2017/0068
2016
Luo, S., Mou, W., Althoefer, K., & Liu, H. (2016). Iterative Closest Labeled Point for tactile object shape recognition. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. doi:10.1109/iros.2016.7759485DOI: 10.1109/iros.2016.7759485
Li, M., Luo, S., & Xu, G. (2016). A tactile sensing and feedback system for tumor localization. In 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE. doi:10.1109/urai.2016.7625751DOI: 10.1109/urai.2016.7625751
Evaluation of Pseudo-Haptic Interactions with Soft Objects in Virtual Environments (Journal article)
Li, M., Sareh, S., Xu, G., Ridzuan, M. B., Luo, S., Xie, J., . . . Althoefer, K. (2016). Evaluation of Pseudo-Haptic Interactions with Soft Objects in Virtual Environments. PLOS ONE, 11(6). doi:10.1371/journal.pone.0157681DOI: 10.1371/journal.pone.0157681
In-Hand Object Pose Estimation Using Covariance-Based Tactile To Geometry Matching (Journal article)
Bimbo, J., Luo, S., Althoefer, K., & Liu, H. (2016). In-Hand Object Pose Estimation Using Covariance-Based Tactile To Geometry Matching. IEEE ROBOTICS AND AUTOMATION LETTERS, 1(1), 570-577. doi:10.1109/LRA.2016.2517244DOI: 10.1109/LRA.2016.2517244
2015
Luo, S., Mou, W., Althoefer, K., & Liu, H. (2015). Novel Tactile-SIFT Descriptor for Object Shape Recognition. IEEE Sensors Journal, 15(09), 5001-5009. doi:10.1109/jsen.2015.2432127DOI: 10.1109/jsen.2015.2432127
Luo, S., Mou, W., Althoefer, K., & Liu, H. (2015). Localizing the Object Contact through Matching Tactile Features with Visual Map. In 2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (pp. 3903-3908). Retrieved from https://www.webofscience.com/
Luo, S., Liu, X., Althoefer, K., & Liu, H. (2015). Tactile Object Recognition with Semi-Supervised Learning. In Unknown Conference (pp. 15-26). Springer International Publishing. doi:10.1007/978-3-319-22876-1_2DOI: 10.1007/978-3-319-22876-1_2
2014
Luo, S., Mou, W., Li, M., Althoefer, K., & Liu, H. (2014). Rotation and translation invariant object recognition with a tactile sensor. In IEEE SENSORS 2014 Proceedings. IEEE. doi:10.1109/icsens.2014.6985179DOI: 10.1109/icsens.2014.6985179
Multi-fingered haptic palpation using pneumatic feedback actuators (Journal article)
Li, M., Luo, S., Nanayakkara, T., Seneviratne, L. D., Dasgupta, P., & Althoefer, K. (2014). Multi-fingered haptic palpation using pneumatic feedback actuators. SENSORS AND ACTUATORS A-PHYSICAL, 218, 132-141. doi:10.1016/j.sna.2014.08.003DOI: 10.1016/j.sna.2014.08.003
2013
Xie, H., Liu, H., Luo, S., Seneviratne, L. D., & Althoefer, K. (2013). Fiber Optics Tactile Array Probe for Tissue Palpation during Minimally Invasive Surgery. In 2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (pp. 2539-2544). Retrieved from https://www.webofscience.com/
Li, M., Luo, S., Seneviratne, L. D., Nanayakkara, T., Althoefer, K., & Dasgupta, P. (2013). Haptics for Multi-fingered Palpation. In 2013 IEEE International Conference on Systems, Man, and Cybernetics. IEEE. doi:10.1109/smc.2013.713DOI: 10.1109/smc.2013.713
