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.
“Off-road vehicles – and autonomous driving — are some of the many areas that Ingenuity Labs was founded to focus on,” says Josh Marshall, Director at Ingenuity Labs. “We have some of the continent’s leading researchers, both at the faculty and graduate student level, working on exactly these kinds of challenges. The AutoDrive Challenge will …
Dr. Joshua Marshall, Interim Director of the Ingenuity Labs Research Institute, joined Amber Mac for an episode of the This Is Mining podcast to chat about the robot revolution and why it’s already here. It’s an exciting time for robotics and autonomous vehicle technologies in the mining sector because new technologies are transforming the industry …
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 …
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 …
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 …
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 …
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 …
This project will mainly explore streaming multi-modal Knowledge Base Population (KBP) problems by considering both text and images. We expect to propose novel ideas that may help Alibaba’s technical challenges. Specifically, we aim to identify entities using both unstructured text data (e.g., image descriptions) and the corresponding images. The aim is that, by creating models …
The goal of this project is to develop deep-learning based algorithms for identifying near-duplicates in a large collection of bug reports. Project tasks will consist of the following: Providing expert advice on the best deep-learning approaches to use for solving EA’s bug de-duplication problem. Designing, testing, and evaluating deep-learning algorithms to solve the bug deduplication …
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 …
