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.

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 …

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 …

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

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 …