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Pages
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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fun
Puggu
A game for PyWeek 29 
Rumble in the Bronchs
A game for ludumDare 46
Raccoon City
A game for pyweek 31
projects
Zero Contact Robot bar
Robot bar in Sydney for the launch of Heineken Zer0.0.
Credit: Heineken
IROS OCRTOC
Open Cloud Robot Table Organization Challenge
publications
Benchmarking classification techniques using the Opportunity human activity dataset
Published in IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2011
SMC 2011 Workshop on robust machine learning techniques for human activity recognition: Activity recognition challenge
Published in IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2011
Design and implementation of a smart wheelchair
Published in Advances In Robotics, 2013
The Opportunity challenge A benchmark database for on-body sensor-based activity recognition
Published in Pattern Recognition Letters, 2013
Rendezvous with bearing-only information and limited sensing range
Published in IEEE International Conference on Robotics and Automation (ICRA), 2015
Underwater 3D capture using a low-cost commercial depth camera
Published in IEEE Winter Conference on Applications of Computer Vision (WACV), 2016
Automatic Segmentation of Tree Structure From Point Cloud Data
Published in IEEE Robotics and Automation Letters (RAL), 2018
An Approach for Semantic Segmentation of Tree-like Vegetation
Published in IEEE International Conference on Robotics and Automation (ICRA), 2019
Fast-Learning Grasping and Pre-Grasping Via Clutter Quantization and Q-Map Masking
Published in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
Unsupervised learning of depth estimation and visual odometry for sparse light field cameras
Published in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
Strategies for large scale elastic and semantic LiDAR reconstruction
Published in Robotics and Autonomous Systems, 2022
Towards real-time forest inventory using handheld LiDAR
Published in Robotics and Autonomous Systems, 2022
3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation
Published in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
InstaLoc: One-shot Global Lidar Localisation in Indoor Environments through Instance Learning
Published in Robotics: Science and Systems (RSS) (to appear), 2023
research
Smart Wheel Chair
Voice based control for a smart wheelchair.
Semantics for Forestry
A framework for extracting tree structures from forest scale 3D point clouds.
Learning to See with Sparse Light Field Video Cameras
Generalized unsupervised odometry and depth estimation on sparse 4D light fields.
Semantic Mapping
Strategies for large scale elastic and semantic LiDAR reconstruction.
Online Forest Mapping and Inventory Generation using Handheld LiDAR
Realtime mapping of forests and online extraction of metrics from handheld LiDAR.
3D Lidar Reconstruction with Probabilistic Depth Completion
Learning-based uncertainty-aware depth completion.
Indoor LiDAR Localization through Instance Learning
One-shot Global Lidar Localisation in Indoor Environments through Instance Learning.
Benchmarking Classification Techniques for Human Activity Recognition
A benchmark of machine learning techniques for classifying human activity.
Self-Assembly of the Distributed Flight Array
A rendezvous algorithm for a multi robot system.
Gesture based control for a service robot
A framework for controlling a service robot using human gestures.
Human Acquisition and Re-acquisition by Clothing Characterization
A system for identifying previously observed people using their clothing.
Underwater 3D Capture Using Commercial Depth Cameras
An underwater 3D capture system and a method for calibrating depth cameras for underwater use.
Automatic Segmentation of Tree Structure From Point Cloud Data
A data-driven approach for segmenting a point cloud of a tree into its components, using curvature features.
Semantic Segmentation of Tree Structure Using Deep Convolutional Neural Networks
A deep learning based framework for semantic segmentation of trees into their components.
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
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teaching
Mechatronics 1 - Semester 2, 2019
Ungergraduate course, The University of Sydney, 2019
Experimental Robotics - Semester 1, 2020
Ungergraduate and Graduate course, The University of Sydney, 2020
SIRIS PhD Course: Foundations of Robotics Research, 2020
PhD Course, The University of Sydney, 2020
Mechatronics 1 - Semester 2, 2020
Ungergraduate course, The University of Sydney, 2020
Experimental Robotics - Semester 1, 2021
Ungergraduate and Graduate course, The University of Sydney, 2021
Experimental Robotics (8700) - Semester 1, 2021
PhD course, The University of Sydney, 2021
Foundations of Robotics Research, 2022-23
PhD course, The University of Sydney, 2022
Oxford Global Prospects Program: AI and Robotics, 2021-22
Undergraduate course, Oxford Global Prospects Program, 2022
Oxford International Study Abroad Program: Robotics and AI, 2023
Undergraduate course, Oxford International Study Abroad Program, 2023