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- The University of QueenslandAU176 papers
- Commonwealth Scientific and Industrial Research OrganisationAU60 papers
- Data61AU42 papers
- University of OxfordGB41 papers
- ARC Centre of Excellence for Mathematical and Statistical FrontiersAU33 papers
- Macquarie UniversityAU32 papers
- Monash UniversityAU32 papers
- Australian Centre for Robotic VisionAU28 papers
- Australian National UniversityAU28 papers
- The University of SydneyAU26 papers
- UNSW SydneyAU26 papers
- University of Southern QueenslandAU23 papers
10 papers · 2 filters
Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling
Kavisha Vidanapathirana, Peyman Moghadam, Ben Harwood +3
Place Recognition enables the estimation of a globally consistent map and trajectory by providing non-local constraints in Simultaneous Localisation and Mapping (SLAM). This paper…
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience
Robert Lee, Daniel Ward, Akansel Cosgun +3
Manipulating deformable objects, such as fabric, is a long standing problem in robotics, with state estimation and control posing a significant challenge for traditional methods. I…
Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation
Madhu Vankadari, Sourav Garg, Anima Majumder +2
In this paper, we look into the problem of estimating per-pixel depth maps from unconstrained RGB monocular night-time images which is a difficult task that has not been addressed…
NEO: A Novel Expeditious Optimisation Algorithm for Reactive Motion Control of Manipulators
Jesse Haviland, Peter Corke
We present NEO, a fast and purely reactive motion controller for manipulators which can avoid static and dynamic obstacles while moving to the desired end-effector pose. Additional…
Guided Curriculum Learning for Walking Over Complex Terrain
Brendan Tidd, Nicolas Hudson, Akansel Cosgun
Reliable bipedal walking over complex terrain is a challenging problem, using a curriculum can help learning. Curriculum learning is the idea of starting with an achievable version…
The Robotic Vision Scene Understanding Challenge
David Hall, Ben Talbot, Suman Raj Bista +4
Being able to explore an environment and understand the location and type of all objects therein is important for indoor robotic platforms that must interact closely with humans. H…