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.

Autonomous Mining Robot

Podcast: Robotics, Automation and the 21st Century Miner with Dr. Joshua Marshall

Listen to Dr. Joshua Marshall, Interim Director of the Ingenuity Labs Research Institute, talk with Amber Mac at This Is Mining. Listen to This is Mining: The Podcast

IBEX

The robot revolution is here: How it’s changing jobs and businesses in Canada

Whether we like it or not, the robot era is already upon us. The question is: Is the Canadian economy poised to flourish or flounder in a world where robots take over the tasks we don’t want to do ourselves? The answer may surprise you.Continue to read the rest of this story in The Conversation …

Mitchell Professors

Queen’s Engineering alumnus gift funds the future of human-machine collaboration research

A transformational gift from philanthropist and Queen’s alumnus Bruce Mitchell (Sc’68) has enabled the Faculty of Engineering and Applied Science to expand its investment in artificial intelligence (AI), robotics, and human-machine collaboration research, and the Ingenuity Labs Research Institute. Announced today is the installation of five professorships across three departments in the Faculty of Engineering.Read …

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 …

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: https://www.queensu.ca/research/features/championing-ai-social-justice

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