Biography
I am a robotics autonomy engineer at Emesent, where I am currently working on better state estimation for one of the most advanced autonomous mapping systems for drones and other similar robots.
My interests lie in robotics and control. In particular, I enjoy whenever we can bring rigorous mathematical and physical tools into making robots more capable of advanced actions. This includes non-linear system theory, numerical optimal control, control in Lie groups, 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.