Hierarchical Generative Modelling for Autonomous Robots

Kai Yuan, Noor Sajid, Karl Friston, Zhibin Li†

Nature Machine Intelligence, Vol 5, 1402–1414, 2023

[Paper]

RObotic MAnipulation Network (RO-MAN): Hybrid Hierarchical Learning for Solving Complex Sequential Tasks

Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li†

Nature Machine Intelligence, Vol 5, 991–1005, 2023

[Paper] [Code]

Identifying Important Sensory Feedback for Learning Locomotion Skills

Wanming Yu, Chuanyu Yang, Christopher McGreavy, Eleftherios Triantafyllidis, Guillaume Bellegarda, Milad Shafiee, Auke Jan Ijspeert, Zhibin Li†

Nature Machine Intelligence, Vol 5, 919–932, 2023

[Paper] [Code]

Multi-Expert Learning of Adaptive Legged Locomotion

Chuanyu Yang, Kai Yuan, Wanming Yu, Qiuguo Zhu, Zhibin Li†

Science Robotics, Vol 5 (49), 2020

[Paper] [Video]

Featured by BBC, Wired, and New Scientist

Efficient Tactile Sensing-based Learning from Limited Real-world Demonstrations for Dual-arm Fine Pinch-Grasp Skills

Xiaofeng Mao, Yucheng Xu, Ruoshi Wen, Mohammadreza Kasaei, Wanming Yu, Efi Psomopoulou, Nathan F. Lepora, Zhibin Li

IEEE/RSJ IROS, 2024, pp. 5112-5119

[Paper] [Video]

Dexterous In-Hand Manipulation of Slender Cylindrical Objects through Deep Reinforcement Learning with Tactile Sensing

Hu, W., Huang, B., Lee, W. W., Yang, S., Zheng, Y., & Li, Z.

arXiv, 2023

[Paper]

Learning Adaptive Grasping From Human Demonstrations

Shuaijun Wang, Wenbin Hu, Lining Sun, Xin Wang, Zhibin Li

IEEE/ASME Transactions on Mechatronics, 2022

[Paper]

Neural ODE-based Imitation Learning (NODE-IL): Data-Efficient Imitation Learning for Long-Horizon Multi-Skill Robot Manipulation

Zhao, S., Xu, Y., Kasaei, M., Khadem, M., & Li, Z.

IEEE International Conference on Intelligent Robots and Systems (IROS), 2024, pp. 8524-8530

[Paper]

DexSkills: Skill Segmentation Using Haptic Data for Learning Autonomous Long-Horizon Robotic Manipulation Tasks

Mao, X., Giudici, G., Coppola, C., Althoefer, K., Farkhatdinov, I., Li, Z., & Jamone, L.

IEEE International Conference on Intelligent Robots and Systems (IROS), 2024, pp. 5104-5111

[Paper]

Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks

Triantafyllidis, E., Christianos, F., & Li, Z.

IEEE International Conference on Robotics and Automation (ICRA), 2024, pp. 7493-7500

[Paper]

Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System

Hu, W., Acero, F., Triantafyllidis, E., Liu, Z., & Li, Z.

IEEE International Conference on Intelligent Robots and Systems (IROS), 2023, pp. 944-951

[Paper]

Run and Catch: Dynamic Object-Catching of Quadrupedal Robots

You, Y., Liu, T., Liang, X., Xu, Z., Zhou, M., Li, Z., & Zhang, S.

IEEE International Conference on Intelligent Robots and Systems (IROS), 2023, pp. 743-750

[Paper]

TiV-ODE: A Neural ODE-based Approach for Controllable Video Generation from Text-Image Pairs

Xu, Y., Li, N., Goel, A., Yao, Z., Guo, Z., Kasaei, H., ... Li, Z.

Proceedings - IEEE International Conference on Robotics and Automation (ICRA), 2024, pp. 14645–14652

[Paper]

Language-guided Robot Grasping: CLIP-based Referring Grasp Synthesis in Clutter

Tziafas, G., Xu, Y., Goel, A., Kasaei, M., Li, Z., & Kasaei, H.

Proceedings of The 7th Conference on Robot Learning, Vol. 229, 2023, pp. 1450-1466

[Paper]

Instance-wise Grasp Synthesis for Robotic Grasping

Xu, Y., Kasaei, M., Kasaei, H., & Li, Z.

IEEE International Conference on Robotics and Automation (ICRA), 2023, pp. 1744-1750

[Paper] [Video]

Data-efficient Non-parametric Modelling and Control of an Extensible Soft Manipulator

Kasaei, M., Babarahmati, K. K., Li, Z., & Khadem, M.

IEEE International Conference on Robotics and Automation (ICRA), 2023, pp. 2641-2647

[Paper]

A Data-efficient Neural ODE Framework for Optimal Control of Soft Manipulators

Kasaei, M., Babarahmati, K. K., Li, Z., & Khadem, M.

Proceedings of The 7th Conference on Robot Learning, Vol. 229, 2023, pp. 2700-2713

[Paper] [Video]

Learning Pregrasp Manipulation of Objects from Ungraspable Poses

Sun, Z., Yuan, K., Hu, W., Yang, C., & Li, Z.

IEEE International Conference on Robotics and Automation (ICRA), 2020, pp. 9917-9923

[Paper] [Video]

Feasibility Retargeting for Multi-contact Teleoperation and Physical Interaction

Rouxel, Q., Wen, R., Li, Z., Tiseo, C., Mouret, J.-B., & Ivaldi, S.

2023

[Paper] [Video]

Robust High-Transparency Haptic Exploration for Dexterous Telemanipulation

Babarahmati, K. K., Tiseo, C., Rouxel, Q., Li, Z., & Mistry, M.

IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 10146-10152

[Paper]

Haptic Bimanual System for Teleoperation of Time-Delayed Tasks

Sena, A., Rouxel, Q., Ivanova, E., Burdet, E., & Li, Z.

IEEE International Conference on Robotics and Biomimetics (ROBIO), 2021, pp. 1234-1239

[Paper]

Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression

Acero, F., & Li, Z.

IEEE International Conference on Intelligent Robots and Systems (IROS), 2024, pp. 6840-6847

[Paper]

Agile and Versatile Robot Locomotion via Kernel-based Residual Learning

Carroll, M., Liu, Z., Kasaei, M., & Li, Z.

IEEE International Conference on Robotics and Automation (ICRA), 2023, pp. 5148-5154

[Paper] [Video]

Real-time Digital Double Framework to Predict Collapsible Terrains for Legged Robots

Haddeler, G., Palanivelu, H. P., Ng, Y. C., Colonnier, F., Adiwahono, A. H., Li, Z., ... Chuah, M. Y.

IEEE International Conference on Intelligent Robots and Systems (IROS), 2022, pp. 10387-10394

[Paper]

Accessibility-Based Clustering for Efficient Learning of Locomotion Skills

Zhang, C., Yu, W., & Li, Z.

IEEE International Conference on Robotics and Automation (ICRA), 2022, pp. 1600-1606

[Paper] [Video]

Learning Motor Skills of Reactive Reaching and Grasping of Objects

Hu, W., Yang, C., Yuan, K., & Li, Z.

IEEE International Conference on Robotics and Biomimetics (ROBIO), 2021, pp. 452-457

[Paper]

Learning Autonomous Mobility Using Real Demonstration Data

Gu, J., & Li, Z.

20th International Conference on Advanced Robotics (ICAR), 2021, pp. 428-434

[Paper]

Optimisation of body-ground contact for augmenting the whole-body loco-manipulation of quadruped robots

Wolfslag, W. J., McGreavy, C., Xin, G., Tiseo, C., Vijayakumar, S., & Li, Z.

IEEE International Conference on Intelligent Robots and Systems (IROS), 2021, pp. 3694-3701

[Paper]

Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments

Anne, T., Wilkinson, J., & Li, Z.

arXiv, 2021

[Paper] [Video]

Variable Autonomy of Whole-body Control for Inspection and Intervention in Industrial Environments using Legged Robots

Xin, G., Tiseo, C., Wolfslag, W., Smith, J., Cebe, O., Li, Z., ... Mistry, M.

IEEE International Conference on Automation Science and Engineering (CASE), 2020, pp. 1415-1420

[Paper] [Video]