10.1k citations
- The University of SydneyAU198 papers
- Centre for Quantum Computation and Communication TechnologyAU120 papers
- UNSW SydneyAU97 papers
- Australian National UniversityAU88 papers
- Tsinghua UniversityCN80 papers
- Commonwealth Scientific and Industrial Research OrganisationAU75 papers
- Chinese Academy of SciencesCN74 papers
- Macquarie UniversityAU68 papers
- The University of MelbourneAU50 papers
- Data61AU43 papers
- ARC Centre of Excellence for Transformative Meta-Optical SystemsAU41 papers
- Nanyang Technological UniversitySG41 papers
53 papers · 1 filter
Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments
Cong Hoang Quach, Chi Thanh Vo, Dong LT. Tran +3
Accurate localization of unmanned aerial vehicles (UAVs) is essential for applications such as structural health monitoring, especially in environments where Global Positioning Sys…
Neuro-Symbolic Control with Large Language Models for Language-Guided Spatial Tasks
Momina Liaqat Ali, Muhammad Abid, Muhammad Saqlain +1
Although large language models (LLMs) have recently become effective tools for language-conditioned control in embodied systems, instability, slow convergence, and hallucinated act…
Large Language Models and 3D Vision for Intelligent Robotic Perception and Autonomy
Vinit Mehta, Charu Sharma, Karthick Thiyagarajan
With the rapid advancement of artificial intelligence and robotics, the integration of Large Language Models (LLMs) with 3D vision is emerging as a transformative approach to enhan…
Vision-Proprioception Fusion with Mamba2 in End-to-End Reinforcement Learning for Motion Control
Xiaowen Tao, Yinuo Wang, Jinzhao Zhou
End-to-end reinforcement learning (RL) for motion control trains policies directly from sensor inputs to motor commands, enabling unified controllers for different robots and tasks…
Peek into the `White-Box': A Field Study on Bystander Engagement with Urban Robot Uncertainty
Xinyan Yu, Marius Hoggenmueller, Tram Thi Minh Tran +3
Uncertainty inherently exists in the autonomous decision-making process of robots. Involving humans in resolving this uncertainty not only helps robots mitigate it but is also cruc…
Occupancy-SLAM: An Efficient and Robust Algorithm for Simultaneously Optimizing Robot Poses and Occupancy Map
Yingyu Wang, Liang Zhao, Shoudong Huang
Joint optimization of poses and features has been extensively studied and demonstrated to yield more accurate results in feature-based SLAM problems. However, research on jointly o…