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.
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 …
“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 …
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 …
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 …
In Canada, thermal stress buildup due to climatic changes can lead to failure of rail structures. Currently, there are no techniques available to continuously monitor the stress state in a rail over long distances. Distributed fibre optic sensing is a promising solution. Due to the extent of rail track infrastructure in Canada (45,000 km), the …
Ambient factors such as light, heat, and music can significantly impact physical comfort in employees. Additionally, affective states and cognitive load of workplace occupants can affect their quality of life, general happiness, and cognitive capacity. This research aims to design and develop a smart workplace capable of detecting, analyzing, and acting on the environmental ambient …
Dr. Xiaodan Zhu from Ingenuity Labs is partnering with Dr. Samuel Dahan from the Queen’s Faculty of Law on an intelligent dispute resolution system that evens the playing field for self-represented litigants in employment, trademark, and personal injury disputes by offering them data-driven predictions, based on case law trends and negotiation data from thousands of …
Virtual Reality (VR) has the ability to immerse users in a simulated environment and provide them with experiential learning opportunities. Most undergraduate Chemical Engineering students are required to design a chemical plant for their capstone design project without ever having visited or interacted with a full-scale processing plant. This project will design and develop an …