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.