Mitchell Hall, Room 395 69 Union Street West Queen's University Kingston, ON K7L 3N7
+1 613-533-2995
ingenuity.labs@queensu.ca

Ingenuity Labs Research Institute

We are an interdisciplinary initiative at Queen’s University focused on combining Artificial Intelligence, Robotics, and Human Machine Interaction to create future intelligent systems and robotic machines that enhance human productivity, safety, performance, and quality of life.

AI for Rail Infrastructure Thermal Stress Condition Assessment

In Canada, thermal stress buildup due to climatic changes can lead to failure of rail structures. Currently, there are no techniques available to continuously monitor the stress state in a rail over long distances. Distributed fibre optic sensing is a promising solution. Due to the extent of rail track infrastructure in Canada (45,000 km), the …

Research @ Queen’s: Championing AI for social justice

Dr. Xiaodan Zhu from Ingenuity Labs is partnering with Dr. Samuel Dahan from the Queen’s Faculty of Law on an intelligent dispute resolution system that evens the playing field for self-represented litigants in employment, trademark, and personal injury disputes by offering them data-driven predictions, based on case law trends and negotiation data from thousands of …

Virtual Reality Plant for Chemical Process Design

This project is about studying and developing demonstrably practical methods and algorithms for reconnaissance activities using multiple robotic vehicles, with a particular focus on especially harsh and uncertain terrains (e.g., rocky, forested, unstructured, off-road) as well as on the problem of maintaining secrecy from potential intruders in such operations. The proposed research includes work on …

Gesture-Based Semi-Autonomous Vehicle Control

With smart and autonomous vehicles around the corner, significant advances are being made in integration of sensing, machine learning, and advanced control systems in vehicles. Modern vehicles currently contain 60-100 sensors on average, and this number is expected to rise to 200 sensors per car by 2020. These sensing technologies, however, are mostly aimed at …

Image Analysis and AI for Structural Inspection

This research program is a multi-disciplinary partnership between the City of Kingston and Ingenuity Labs that will investigate robotic inspection technologies as an integral step towards turning the Kingston Third Crossing into a smart structure. The goal of this proposed research program is to begin development of a high resolution digital image analysis and artificial …

Off-Road Multi-Vehicle Autonomy for Challenging Outdoor Environments

This project is about studying and developing demonstrably practical methods and algorithms for reconnaissance activities using multiple robotic vehicles, with a particular focus on especially harsh and uncertain terrains (e.g., rocky, forested, unstructured, off-road) as well as on the problem of maintaining secrecy from potential intruders in such operations. The proposed research includes work on …

Smart Environments for Improved Patient Care in Acute and Non-Acute Healthcare Facilities

The goal of this project is to initiate research into a novel process for improved patient care in acute and non-acute healthcare facilities. The process is based on the deployment of a smart environment enable nurses and other healthcare professionals to more effectively and efficiently monitor in-patients at risk of harm from events such as falls. …