Dr Henry Alexander MacGeorge Williams
BE(first class) PhD Engineering VUW.
Henry completed a BE (1st class) and PhD at the school of Engineering and Computer Science at Victoria Univeristy of Wellington.
The broad objective of the work presented in his thesis was to apply human inspired cognitive mechanisms to address limitations in current robotic navigation techniques. Utilising machine learning to allow robots to learn their own approaches through interactions with the environment. His long term goal is to develop soultions for interesting challenges in the real-world through robotics and machine learning.
Currently in charge of overall integration on the Orchard robotics project at CARES.
Areas of expertise
- Machine Learning
- Evolutionary Computation
Selected publications and creative works (Research Outputs)
- Williams, H., Browne, W. N., & Carnegie, D. A. (2017). Learned Action SLAM: Sharing SLAM through learned path planning information between heterogeneous robotic platforms. Applied Soft Computing, 50, 313-326. 10.1016/j.asoc.2016.11.036
- Williams, H. (2016). Human inspired robotic path planning and heterogeneous robotic mapping Victoria University of Wellington. Victoria University of Wellington.