The University of Queensland
Autonomous Intelligent Systems Research Group
Perceive. Navigate. Collaborate.
We are a robotics research group in the School of Mechanical and Mining Engineering at The University of Queensland, led by Dr Thien-Minh Nguyen.
We develop perception, localisation and control methods for autonomous robots in complex, large-scale environments. Our research combines multi-sensor fusion, continuous-time motion estimation and learning-based methods, with applications in aerial robot coordination and legged robot locomotion.
Research areas
- Multi-sensor fusion & SLAMCombining cameras, IMUs, LiDAR and UWB for localisation and mapping, including VIRAL-Fusion, VIRAL SLAM and LIRO.
- Continuous-time motion estimationGaussian process trajectory representations and LiDAR-inertial odometry, including GPTR, SLICT and SLICT2.
- UWB localisation & learningRange-based localisation and learning from UWB measurements in complex, large-scale environments, including ULOC.
- Cooperative aerial roboticsRelative localisation, formation control and autonomous docking for UAVs, alongside cooperative aerial inspection through CARIC.
- Legged locomotion & trackingReinforcement learning for gait-parameterised locomotion policies and interactive object tracking with legged robots such as Qiuqiu.
- Datasets & benchmarksOpen resources for robot perception and evaluation: the MCD and NTU VIRAL datasets, and the CARIC cooperative aerial inspection benchmark.