5 citations · 9 across the 6 of their papers we have counts for
6 papers
Towards Long-term Robotics in the Wild
Stephen Hausler, Ethan Griffiths, Milad Ramezani +1
In this paper, we emphasise the critical importance of large-scale datasets for advancing field robotics capabilities, particularly in natural environments. While numerous datasets…
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition
Milad Ramezani, Liang Wang, Joshua Knights +3
This paper proposes a pose-graph attentional graph neural network, called P-GAT, which compares (key)nodes between sequential and non-sequential sub-graphs for place recognition ta…
Demonstrating Autonomous 3D Path Planning on a Novel Scalable UGV-UAV Morphing Robot
Eric Sihite, Filip Slezak, Ioannis Mandralis +5
Some animals exhibit multi-modal locomotion capability to traverse a wide range of terrains and environments, such as amphibians that can swim and walk or birds that can fly and wa…
Deep Robust Multi-Robot Re-localisation in Natural Environments
Milad Ramezani, Ethan Griffiths, Maryam Haghighat +2
The success of re-localisation has crucial implications for the practical deployment of robots operating within a prior map or relative to one another in real-world scenarios. Usin…
Heterogeneous robot teams with unified perception and autonomy: How Team CSIRO Data61 tied for the top score at the DARPA Subterranean Challenge
Navinda Kottege, Jason Williams, Brendan Tidd +27
The DARPA Subterranean Challenge was designed for competitors to develop and deploy teams of autonomous robots to explore difficult unknown underground environments. Categorised in…
A Letter on Progress Made on Husky Carbon: A Legged-Aerial, Multi-modal Platform
Adarsh Salagame, Shoghair Manjikian, Chenghao Wang +8
Animals, such as birds, widely use multi-modal locomotion by combining legged and aerial mobility with dominant inertial effects. The robotic biomimicry of this multi-modal locomot…