Mitchell Hall, Room 395 69 Union Street West Queen's University Kingston, ON K7L 3N6
+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.

New 3D Printer: Markforged Mark Two

We are excited about our new addition to our 3D printing capabilities, a Markforged Mark Two! The equipment will be used to facilitate multiple research activities within the Institute. The Mark Two will benefit our research projects in research themes Human Sensing and Assistive Devices and Intelligent Mobile Systems. The equipment will be indispensable for …

Another robot dog!

We are excited about another new addition to our robot fleet! Many thanks to Unitree Robotics for helping us procure this Go 1 platform for academic research. Like our other equipment, this Go 1 robot is a shared resource for our faculty members and will facilitate multiple research activities within our institute that target significant …

New robot arm

We have a new robot arm!

We’re excited about our new robot manipulator arm. Many thanks to Vention in Montreal, QC, for helping us procure the arm from Universal Robotics. This manipulator is a shared resource for our faculty members and will be used in multiple research projects within our institute. We are planning to use it in to allow robotic …

Logos

Next Generation of Medical Simulation Hackathon

By Pegah Nomanfar Last weekend Ingenuity Labs and UP360 hosted the “Next Generation of Medical Simulation Hackathon.” Students from diverse backgrounds, in 16 teams, presented their ideas using a technical and scientific approach to solve the challenge: “Advanced fidelity of medical simulators or task trainers in a way that will allow learners in healthcare to …

We Have A New Robot!

We are excited about our new addition to our robot fleet! Many thanks to Clearpath Robotics for helping us procure the Spot robot from Boston Dynamics. As a shared resource for our faculty members, this robot will facilitate multiple research activities within our institute that target significant future funding. Our initial focus for this robot …

Poster

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 …

Kingston's Third Crossing

Queen’s Engineering researchers use AI, sensors to make new bridge “smart”

The Third Crossing development proved the perfect opportunity for a partnership between Ingenuity Labs and the City of Kingston. Dr. Joshua Woods, Ingenuity Labs Mitchell Professor and an Assistant Professor in the Department of Civil Engineering, describes their efforts as technology development, where the end goal is to help the city monitor the bridge. “The …

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 …

Lecture Hall Chairs

Tenure-Track Positions at the Department of Electrical and Computing

The Department of Electrical and Computer Engineering in the Faculty of Engineering and Applied Science at Queen’s University invites applications for two (2) tenure-track faculty positions at the rank of Assistant Professor with specialization in a field related to robotics and/or mechatronics engineering, including, but not limited to, autonomous systems, machine learning and AI, intelligent …

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.