Yuyi Liu

I received my bachelor degree (with 1st class) in University of Birmingham, UK and Fudan University, China in 2011. Then I received my master degree (with Distinction) at Department of Aeronautics in Imperial College London, UK. In 2018, I received my doctor degree (with magna cum laude) in Computer Science (Robotics) at University of Tübingen, Germany.

During my doctorate study, I conducted research on nonlinear optimal control, trajectory planning, formation and human-robot interaction of single and multiple unmanned aerial vehicles, aerial robots and mobile robots at Group of Autonomous Robotics and Human Machine Systems, Max-Planck Institute for Biological Cybernetics, and at Chair of Cognitive Systems, Department of Computer Science, University of Tübingen, Germany.

I also had several research stay and co-work experience at Control and Power Group, Department of Electrical and Electronic Engineering, Imperial College London, UK; at Optimization in Engineering Center (OPTEC), KU Leuven, Belgium; at Institute for System Technology and Automatic Control, University of Stuttgart, Germany; and at Department of Perceiving Systems, MPI for Intelligent Systems, Germany.

Currently, I am carrying out research on a main topic of Human Mobile-Robot Interaction. For instance, to develop novel human-inspired navigation and planning algorithms for mobile robots in human environment for the sake of high-efficient human robot interaction.

Research Overview

  • Social Navigation
  • Human Mobile-Robot Interaction
  • Interactive Trajectory Planning
  • Control of Multiple Mobile-Robot Systems

Publications

Journals

  1. Y. Liu*, J. M. Montenbruck, D. Zelazo, M. Odelga, S. Rajappa, H. H. Bülthoff, F. Allgöwer, A. Zell, “A Distributed Control Approach to Formation Balancing and Maneuvering of Multiple Multirotor UAVs”, IEEE Transactions on Robotics, vol. 34, no. 4, pp. 870-882, 2018.
  2. Y. Liu*, S. Rajappa, J. M. Montenbruck, P. Stegagno, H. Bülthoff, F. Allgöwer, A. Zell, “Robust Nonlinear Control Approach to Nontrivial Maneuvers and Obstacle Avoidance for Quadrotor UAV under Disturbances”, Robotics and Autonomous Systems, vol. 98, pp. 317-332, 2017.
  3. Y. Liu*, J. van Schijndel, S. Longo, E. C. Kerrigan, “UAV Energy Extraction with Incomplete Atmospheric Data Using MPC”, IEEE Transactions on Aerospace and Electronic Systems, vol. 51, no. 2, pp. 1203-1215, 2015.
  4. C. Yang*, Y. Liu, A. Zell, “A Relative Camera Pose Estimation using Synthetic Data with Domain Adaptation via Cycle-Consistent Adversarial Networks”,  Journal of Intelligent & Robotic Systems, vol. 102, 79, 2021.
  5. S. Schneider, Y. Liu*, K. Tomita, T. Kanda, “Stop Ignoring Me! On Fighting the Trivialization of Social Robots in Public Spaces”, ACM Transactions on Human-Robot Interaction, vol. 11, issue 2, article no.11, pp. 1-23, 2022.

Conferences

  1. Y. Fujioka, Y. Liu*, T. Kanda, “I Need to Pass Through! Understandable Robot Behavior for Passing Interaction in Narrow Environment”, in Proceedings of  ACM/IEEE International Conference on Human Robot Interaction (HRI) 2024, (accepted)[acceptance rate=24.9%]
  2. K. Du*, D. Brscic, Y. Liu, T. Kanda, “Can’t You See I Am Bothered? Human-inspired Suggestive Avoidance”, in Proceedings of  ACM/IEEE International Conference on Human Robot Interaction (HRI) 2024, (accepted)[acceptance rate=24.9%]
  3. S. Edirisinghe*, S. Satake, D. Brscic, Y. Liu, T. Kanda, “Field trial of an autonomous shopworker robot that provides friendly encouragement and exerts social pressure”, in Proceedings of  ACM/IEEE International Conference on Human Robot Interaction (HRI) 2024, (accepted). [acceptance rate=24.9%]
  4. R. Kitagawa, Y. Liu*, T. Kanda, “Human-inspired Motion Planning for Omni-directional Social Robots”, in Proceedings of  ACM/IEEE International Conference on Human Robot Interaction (HRI) 2021, pp. 34-42. [acceptance rate=23%]
  5. C. Yang*, Y. Liu, A. Zell, “Learning-based Camera Relocalization with Domain Adaptation via Image-to-Image Translation”,  in Proceedings of the International Conference on Unmanned Aircraft Systems (ICUAS) 2021.
  6. C. Yang*, Y. Liu, A. Zell, “RCPNet: Deep-Learning based Relative Camera Pose Estimation for UAVs”, in Proceedings of the International Conference on Unmanned Aircraft Systems (ICUAS) 2020, pp. 1085-1092.
  7. Y. Liu*, J. M. Montenbruck, P. Stegagno, F. Allgöwer, A. Zell, “A Robust Nonlinear Controller for Nontrivial Quadrotor Maneuvers: Approach and Verification”, in Proceedings of 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5410-5416.
  8. Y. Liu, S. Longo*, E. C. Kerrigan, “Nonlinear Predictive Control of Autonomous Soaring UAVs Using 3DOF Models”, in Proceedings of the European Control Conference (ECC) 2013, pp. 1365-1370.