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.

Dr. Qingguo Li

Ingenuity Labs Member Qingguo Li, Exoskeleton Prototype

Walking just might get easier thanks to researchers at Queen’s University. They’ve designed an exoskeleton prototype that’s meant to help people walk farther, while using less energy. This device is a subject of a new study in the world-leading academic journal, “Science.” Click to read Article Dr. Michael Shepertycky and Dr. Qingguo Li, two minds …

Dr. Joshua Woods, Mitchell Professor, Intelligent Infrastructure Monitoring

A technological environment is a built environment. Dr. Josh Woods is rethinking how we can sense and measure how buildings “feel” – and reinvent how we relate to the structures we live and work in. He’s a faculty member in our Civil Engineering department; using AI and new ways of measuring materials, his work will …

Dr. Xiaodan Zhu, Mitchell Professor, Text Analytics and Machine Learning

Better language algorithms mean better AI and better machines. Dr. Xiaodan Zhu is at the forefront of this movement. As announced in January 2021, the Mitchell Professors are five engineering researchers, funded by a gift from Bruce Mitchell, Sc’68, DSc’20, to explore the frontiers of how humanity and machines coexist. The Mitchell Professors reside in …

Matthew Robertson

Dr. Matt Robertson, Mitchell Professor, Bio-Inspired Robotics

Integrating nature and robotics, from slithering to swarms. Dr. Matt Robertson is the Mitchell Professor reinventing robots via the natural world. As announced in January 2021, the Mitchell Professors are five engineering researchers, funded by a gift from Bruce Mitchell, Sc’68, DSc’20, to explore the frontiers of how humanity and machines coexist. The Mitchell Professors …

Dr. Ali Etemad, Mitchell Professor, AI for Human Sensing and Understanding

Queen’s Engineering is reinventing our understanding of machines; from how they think, to how they move, to how they – and we – feel. As announced in January 2021, the Mitchell Professors are five engineering researchers, funded by a gift from Bruce Mitchell, Sc’68, DSc’20, to explore the frontiers of how humanity and machines coexist. …

Dr. Amy Wu, Mitchell Professor, Bio-Inspired Robotics

Queen’s Engineering is reinventing our understanding of machines; from how they think, to how they move, to how they – and we – feel. As announced in January 2021, the Mitchell Professors are five engineering researchers, funded by a gift from Bruce Mitchell, Sc’68, DSc’20, to explore the frontiers of how humanity and machines coexist. …

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

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 …

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 …