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.


RAIS2021: Student Posters

Robotics Path Planning using Millimetre Wave Autonomous Vehicle Radar Path planning in inclement weather conditions, including snow and heavy rain, is a significant problem plaguing autonomous vehicle systems. Our work takes a step towards tackling this problem by leveraging existing hardware commonly used in self-driving vehicles, low-cost millimetre wave (mmWave) radar systems, to detect common …

Student Researcher Rohan Bhambhoria receives funding from Lab2Market

L2M Toronto’s third cohort kicked off on September 13th, 2021 with 18 talented teams. Over the next four months they will embark on their entrepreneurial journeys to take their research to new beginnings. Through the L2M program, these researchers will learn world-leading methodologies and frameworks, and receive the support needed to bring their ideas to …

Mask on Machine

Researchers win best Paper at IEEE CCEC Conference.

Congratulations goes to researchers Eduardo Gasca Cervantes and Dr. Wai-Yip Geoffrey Chan on receiving best paper at the IEEE Canadian Conference of electrical and Computer Engineering (CCECE) Conference 2021. Their paper LIME-Enabled Investigation of Convolutional Neural Network Performances in Covid-19 Chest X-Ray Detection was selected as the best paper, among 84 accepted.

Network picture by Alina Grubnyak

Xiaoyu Yang, Borealis AI 2021 Fellow

We are very proud to announce Xiaoyu Yang as one of the recipients of the Borealis AI 2021 Fellow. Xiaoyu is a PhD candidate working with researcher, Dr. Xiaodan Zhu, in the area of Natural language reasoning and incorporating external knowledge into neural networks. The Borealis AI Fellowship recipients, supported by Canada’s top researchers and …

Autonomous 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:

Thomas Sears 2020 Vanier Scholar

Thomas Sears, 2020 Vanier Scholar

Congratulations to Thomas Sears, one of six 2020 Vanier Canada Graduate Scholars at Queen’s University! Thomas is a Ph.D. student in the Department of Electrical and Computer Engineering at Queen’s University, in Kingston, Canada. He is passionate about the exploration of space and connecting people with all things science and technology. He is a member …

33rd Canadian Conference on Artificial Intelligence (Canadian AI 2020)

Story by Rohan Bhambhoria, PhD Candidate From May 13th to 15th, 2020, the 33rd Canadian Conference on Artificial Intelligence (Canadian AI 2020) was held jointly with the Computer and Robot Vision Conference (CRV). These events (AI·CRV 2020) brought together hundreds of leaders in research, industry and government, as well as Canada’s most accomplished students, showcasing Canada’s …

Chart from Hui Lui's work

Natural Language Processing Research Papers: Hui Liu and Zhan Shi

Congratulations to Hui Liu and Zhan Shi for having their papers accepted for publishing. This is Hui Lui’s first paper of his Ph.D. career. Both Student Researchers are supervised by Dr. Xiaodan Zhu. End-to-End Transition-Based Online Dialogue Disentanglement Hui Liu, Zhan Shi, Jiachen Gu, Quan Liu, Si Wei, and Xiaodan Zhu. 2020.Proceedings of the 29th International …