With recent advancements in Artificial Intelligence (AI) and deep learning, capabilities for machines to recognise objects and patterns have increased significantly. There has also been an increased interest in detecting and classifying human activities and actions using computer vision AI to help us in our daily lives. In addition, integrating these into a mobile robotics platform has led to even more applications.
In this competition, teams will compete to build and train AI models to perform tasks involving computer vision and text analytics on an autonomous robotics platform. Teams will also complete challenges based on humanitarian assistance and disaster relief in a disaster scenario.
On 7 June, the online qualifier will be released on Kaggle, where teams are given a description of the challenges and tasked to construct AI models for various object detection and computer vision tasks. The best performing teams will be selected to move on to the finals and programme the robots to conduct the tasks.
On 4 and 5 July, teams will apply their trained AI models for the robot to conduct the challenges in action. Teams will be evaluated on their robot’s speed and accuracy.