Journal Articles

  1. Blocks World of Touch: Exploiting the advantages of all-around finger sensing in robot grasping D. F. Gomes, Z. Lin, S. Luo, 2020. Frontiers in Robotics and AI. [Project page]
  2. iCLAP: shape recognition by combining proprioception and touch sensing
    S. Luo, W. Mou, K. Althoefer and H. Liu, 2019. Autonomous Robots, 43(4), pp.993-1004.
  3. A comparative study of bug algorithms for robot navigation
    K.N. McGuire, G.C.H.E. de Croon and K.Tuyls. Robotics and Autonomous Systems 121 (2019).
  4. Localisation of a mobile robot for bridge bearing inspection
    H. Peel, S. Luo, A.G. Cohn and R. Fuentes. Automation in Construction, 94 (2018): 244-256.
  5. Robotic tactile perception of object properties: A review
    S. Luo, J. Bimbo, R. Dahiya and H. Liu, 2017. Mechatronics48, pp.54-67.
  6. Knock-Knock: Acoustic object recognition by using stacked denoising autoencoders
    S. Luo, L. Zhu, K. Althoefer and H. Liu, 2017. Neurocomputing267, pp.18-24.
  7. Evolutionary dynamics of multi-agent learning: A survey
    D. Bloembergen, K. Tuyls, D. Hennes, and M. Kaisers, 2015. Journal of Artificial Intelligence Research, vol. 53, pp. 659–697.

Conference Papers

  • Agent Learning
  1. Neural Logic Reinforcement Learning
    Z. Jiang and S. Luo, 2019 International Conference on Machine Learning (ICML), Long Beach, USA, 2019. [Project page]
  2. The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning
    J. Castellini, F.A. Oliehoek, R. Savani and S. Whiteson, 2019 International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Montreal, CA, 2019.
  3. Evolving Coverage Behaviours For MAVs Using NEAT
    J. Butterworth, B. Broecker, K. Tuyls, and P. Paoletti, 2018 International Conference on Autonomous Agents and Multiagent Systems(AAMAS), Stockholm, 2018.
  4. Lenient multi-agent deep reinforcement learning
    G. Palmer, K. Tuyls, D. Bloembergen and R. Savani, 2018 International Conference on Autonomous Agents and Multiagent Systems(AAMAS), Stockholm, 2018.
  5. Social insect-inspired multi-robot coverage
    B. Broecker, I. Caliskanelli, K. Tuyls, E. Sklar and D. Hennes, 2015 International Conference on Autonomous Agents and Multiagent Systems(AAMAS), Istanbul, 2015, pp. 1775–1776.
  6. Effective approximations for multi-robot coordination in spatially distributed tasks
    D. Claes, P. Robbel, F. A. Oliehoek, K. Tuyls, D. Hennes, and Wiebe Van der Hoek, 2015 International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Istanbul, 2015, pp. 881–890.
  • Robotics
  1. GelTip: A Finger-shaped Optical Tactile Sensor for Robotic Manipulation D. F. Gomes, Z. Lin, S. Luo, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). [Project page]
  2. Spatio-Temporal Attention Model for Tactile Texture Recognition G. Cao, Y. Zhou, D. Bollegala, S. Luo, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
  3. Fully Convolutional One-Shot Object Segmentation for Industrial RoboticsB. Schnieders, S. Luo, G. Palmer and K. Tuyls, 2019 International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Montreal, CA, 2019.
  4. “Touching to See” and” Seeing to Feel”: Robotic Cross-modal Sensory Data Generation for Visual-Tactile Perception
    J. Lee, D. Bollegala and S. Luo, 2019 IEEE International Conference on Robotics and Automation (ICRA), Montreal, CA, 2019.
  5. ViTac: Feature Sharing between Vision and Tactile Sensing for Cloth Texture Recognition
    S. Luo, W. Yuan, E. Adelson, A. G. Cohn and Raul Fuentes, 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, 2018.
  6. Iterative Closest Labeled Point for Tactile Object Shape Recognition
    S. Luo, W. Mou, K. Althoefer and H. Liu, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, 2016, pp. 3137-3142.
  7. Localising the Object Contact through Matching Tactile Features with Visual Map
    S. Luo, W. Mou, K. Althoefer and H. Liu, 2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, 2015, pp. 3903-3908.

Publications can also be found at the individual web pages of the smartlab members.