Biography
I am a Robotics Engineer at Emesent, where I am currently working on autonomous robots for inspection, surveying and mapping which operate in inaccessible, unstructured, dirty and dangerous environments. My work spans the whole stack of perception, planning and control.
My main interests lie in robotics and control. In particular, I enjoy bringing rigorous mathematical and physical tools to making robots more safe, agile and capable. This includes non-linear system theory, optimisation and numerical optimal control, differential geometry, etc.But I enjoy a wide variety of problems from all domains of robotics and beyond.
Interests
- Robotics
- Control theory
- Dynamics
- Signal processing
- Machine Learning
Education
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MEng in Mechatronic Engineering
University of Queensland
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BEng (Hons) in Mechatronic Engineering
University of Queensland
Experience
Autonomy Engineer
State estimation and autonomy for autonomous mapping systems like quadrotors and legged robots
Teaching Assistant
Teaching Control Engineering I, Control Engineering II, Signals, Systems & Control, and Robotics & Advanced Control
Masters Postgraduate Researcher
Research into novel designs for granular jamming grippers and the use of vibrational effects on granular jamming for robotics
Software Engineering Intern
Implementing distributed training of BERT neural network on Azure Compute Clusters to speed up AutoML natural language processing featurizers by distributing training to GPU compute clusters
Vacation Research Scholar
Research on improving multi-camera object detection from single camera labels for pedestrian tracking using traditional geometric features with convolutional neural networks
Data Science Intern
Machine learning and data science for the resources sector
Publications
(2021).
Vibration Improves Performance in Granular Jamming Grippers.
arXiv.