Shan Luo

Dr Shan Luo is Senior Lecturer (Associate Professor) at King’s College London. He received his PhD in Robotics from King's College London in 2016. Shan visited the MIT Computer and Artificial Intelligence Laboratory (CSAIL) in 2016. After graduating from his PhD, he worked as a Postdoctoral Research Fellow at the University of Leeds and Harvard University. Shan joined the University of Liverpool as a Lecturer in 2018 and was the Director the smARTLab at the Department of Computer Science between 2018-2021.

His research outputs have been published in high-impact robotics journals and international conferences, including Autonomous Robots, ICRA, IROS, ICML and AAMAS, and attracted significant media coverage, including BBC, MIT Technology Review and Tech Xplore. His research has received funding from prestigious funding bodies and industrial support including EPSRC, AHRC, Innovate UK, Royal Society and Unilever, with him as a PI for over £1.3 million.

Shan's accolades also include the EPSRC New Investigator Award, BCS Academy New Appointments Grant Scheme Award, Faculty Learning & Teaching and Student Experience Award, and he was recognised as a Distinguished Program Committee member at the International Joint Conference on Artificial Intelligence (IJCAI) in 2019.

Education

• Doctor of Philosophy (PhD) Kings College London (2012 — 2015)
• Bachelor of Science (B.Sc.) University of Petroleum (2008 — 2012)

Research Interests

• Visuo-tactile robotics
• Robot visuo-tactile sensing
• Multimodal robot perception
• Robor learning for grasping and manipulation

Publications

Journal articles

• Gomes, P. Paoletti and S. Luo, ``Generation of GelSight Tactile Images for Sim2RealLearning”, IEEE Robotics and Automation Letters, 2021
• Y. Song, R. Koeck, S. Luo, “Review and Analysis of Augmented Reality for DigitalFabrication 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 inRobotics 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.
• D.F. Gomes, Z. Lin and S. Luo, ``Blocks World of Touch: Exploiting the advantages of all-around finger sensing in robot grasping'', Frontiers in Robotics and AI, 2020 (accepted).
• S. Luo, W. Mou, K. Althoefer, H. Liu, ``iCLAP: Shape Recognition by Combining Proprioception and Touch Sensing'', Autonomous Robots, 43(4), 993-1004, 2019.
• H. Peel, S. Luo, A.G. Cohn, and R. Fuentes, ``Localisation of a mobile robot for bridge bearing inspection'', Automation in Construction, 94, 224-256, 2018.
• S. Luo, J. Bimbo, R. Dahiya, H. Liu, ``Robotic Tactile Perception of Object Properties: A Review'', Mechatronics, 48, 54-67, 2017.
• S. Luo, L. Zhu, K. Althoefere, H. Liu, ``Knock-Knock: Acoustic Object Recognition using Stacked Denoising Autoencoders.'' Neurocomputing, 267, 18-24, 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, ``Novel Tactile-SIFT descriptor for object shape recognition.'' IEEE Sensors Journal, 15 (9), 5001-5009, 2015. [PDF]
• 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.