Current UC AI Research

UC AI

University of Canterbury Artificial Intelligence Research Group

UC AI Researchers are working on some amazing projects. Here are just a few of them.

Drones with Tools

The research is focusing on UAVs using precision tools in changing dynamic environments, such as outdoors with hazards such as wind.  The project is investigating drones which can be used around hazardous structures such as power pylons or in the construction and forestry industries.  

Destress Your Stress

A mobile messaging-based conversational agent-led stress mindset intervention for New Zealand small-to-medium-sized enterprise owner-managers: effectiveness and acceptability study

The Perceived Threat of Intelligent Robots

Against the backdrop of rapid advancements in AI, actuator, and sensing technologies, a new era of intelligent robots is on the rise, which in turn, are expected to interact and work alongside humans in everyday life.

Reboot and Recall

Brain region called the anterior thalamus could hold the key for memory function recovery after brain injury

Maaratech

We will create new technologies that capture and convert data about plant structure, and the activities of expert humans, into smart decisions and actions in fruit growing. 

Neuromorphic Chips

Neuromorphic Chip technology developed in our group is focussed on opportunities where low power consumption is valued, such as in mobile devices.

Drones Project

Enabling unmanned aerial vehicles (drones) to use tools in complex dynamic environments

Human-Robot Interaction

The role of robots in society keeps expanding and diversifying, bringing with it a host of issues surrounding the relationship between robots and humans.

Spiking Neural Network

Spiking neural network (SNN) utilizes spike trains for information processing among neurons, which is more biologically plausible and widely regarded as the third-generation artificial neural network (ANN).

Transforming Scallop Fishing

Non-destructive surveying and harvesting for economic acceleration and kaitiakitanga (NIWA led MBIE project)

Audio Visual Interactions with Invasive Predators

University of Canterbury student Ben McEwen has researched an intelligent lure system which will make it easier to trap predators.