Mitchell Hall, Room 395 69 Union Street West Queen's University Kingston, ON K7L 3N7
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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.

Dr. Bruce Mitchell

Engineering alumnus, entrepreneur and philanthropist Bruce Mitchell (Sci’68) receives honorary degree at Fall 2020 convocation

Faculty of Engineering and Applied Science convocation ceremony of November 13, Queen’s Principal Patrick Deane spoke of this year’s recipient of the honorary doctorate degree in science, Bruce Mitchell (Sci’68).Read this story on the Faculty of Engineering and Applied Science News page. We would like to take this opportunity to congratulate Dr. Mitchell on is …

Training computers to reason – watch Dr. Xiaodan Zhu’s talk at Vector Institute’s Friday Seminar Series

The Vector Institute Friday Seminar Series talk is about two problems: (1) how to perform reasoning between structured data (tables) and unstructured data (text), two major data we face daily; (2) how to integrate the benefit of two worlds: neural models and symbolic reasoning (here natural logic) for the task, to bring the power of …

VR equipment in Medical Office

Medical education, artificial intelligence and augmented reality

As a teaching strategy, simulation-based training has been around a long time. From aviation and space flight to the military, from law to policing, simulation has been used to create learning environments that reflect the real world, without putting the learner or other participants at risk.  A multidisciplinary group of faculty and post-doctoral researchers from …


Exploring Knowledge Base Population Technologies in Multiple Modalities

This project will mainly explore streaming multi-modal Knowledge Base Population (KBP) problems by considering both text and images. We expect to propose novel ideas that may help Alibaba’s technical challenges. Specifically, we aim to identify entities using both unstructured text data (e.g., image descriptions) and the corresponding images.  The aim is that, by creating models …

Type on Screen

Electronic Arts Software Bug De-Duplication

The goal of this project is to develop deep-learning based algorithms for identifying near-duplicates in a large collection of bug reports. Project tasks will consist of the following: Providing expert advice on the best deep-learning approaches to use for solving EA’s bug de-duplication problem. Designing, testing, and evaluating deep-learning algorithms to solve the bug deduplication …

Heshan on an Excavator

What Lies Beneath: Material Classification for Autonomous Excavators using Proprioceptive Force Sensing and Machine Learning

By Heshan Fernando, PhD Candidate, Offroad Robotics at Ingenuity Labs Brief description of research: The aim of this research is to develop a novel methodology for classifying excavation materials using only proprioceptive sensor data (e.g., forces, motions, vibrations, etc.) that are acquired from robotic excavators during digging and loading. In this preliminary work, we present …

Michael Fader

Chat with Student Researcher Michael Fader

Check out this video about Master’s student Michael Fader and his work at Ingenuity Labs with Autonomous Vehicles.

Chat with Student Researcher Rohan Bhambhoria

Check out this video about PhD student Rohan Bhambhoria and his work at Ingenuity Labs in developing a legal tool using artificial intelligence. More information about the research project can be found here:

Robot Hand

Wearable Sensor-Based Sign Language Recognition: A Comprehensive Review

Graduate students Karly Kudrinko and Emile Flavin, along with Ingenuity Labs researchers Qingguo Li and Xiaodan Zhu recently had a paper published in the IEEE Xplore. Wearable Sensor-Based Sign Language Recognition: A Comprehensive Review

Dr. Il-Min Kim – Using Neural Networks as Mathematical Solvers

Check out this video about Ingenuity Labs researcher Dr. Il-Min Kim discussing the use of Neural networks as Mathematical Solvers. Dr. Kim also Director of the Wireless Artificial Intelligence Laboratory (WAI Lab).