Vision, Intelligence, and Systems Technology in Automation
Advancing the frontiers of robotics through cutting-edge research in computer vision, artificial intelligence, and autonomous systems
Explore Our ResearchThe VISTA (Vision, Intelligence, and Systems Technology in Automation) Lab is a cutting-edge robotics research facility dedicated to advancing the field of autonomous systems. Under the leadership of Prof. Pierre-Yves Lajoie, our team pushes the boundaries of what's possible in robotics, computer vision, and artificial intelligence.
Our research focuses on developing intelligent systems that can perceive, understand, and interact with complex real-world environments. We work on fundamental problems in robotics while maintaining a strong emphasis on practical applications that can benefit society.
The lab fosters an interdisciplinary environment where computer scientists, engineers, and researchers collaborate to solve challenging problems in autonomous navigation, machine learning, and human-robot interaction.
Developing advanced algorithms for robot localization, mapping, and path planning in complex, dynamic environments. Our work includes SLAM, visual odometry, and multi-robot coordination systems.
Creating robust vision systems for object detection, recognition, and scene understanding. We focus on deep learning approaches, 3D perception, and real-time visual processing for robotic applications.
Applying cutting-edge ML techniques to robotic systems, including reinforcement learning, imitation learning, and neural network architectures optimized for real-time robotic control.
Investigating natural and intuitive ways for humans and robots to collaborate. Our research covers gesture recognition, social robotics, and adaptive interfaces for human-robot teams.
Exploring coordination and cooperation among multiple robotic agents. We develop distributed algorithms for task allocation, consensus, and swarm robotics applications.
Optimizing AI algorithms for deployment on resource-constrained robotic platforms. We focus on model compression, efficient inference, and real-time processing on embedded systems.
Principal Investigator & Lab Director
Prof. Lajoie leads the VISTA Lab with expertise in autonomous systems, computer vision, and robotics. His research focuses on developing intelligent algorithms for robot perception and decision-making in complex environments.
Senior Research Scientist
Specializes in SLAM algorithms and multi-robot systems. Dr. Smith has published extensively on cooperative localization and distributed mapping techniques.
PhD Student
Working on deep learning approaches for visual perception in robotics. Maria's research focuses on developing robust neural networks for object detection and scene understanding.
PhD Student
Research focuses on human-robot interaction and natural language processing for robotic systems. David is developing intuitive interfaces for robot command and control.
MSc Student
Investigating reinforcement learning algorithms for autonomous navigation. Sarah's work aims to develop adaptive control strategies for mobile robots in dynamic environments.
Research Engineer
Manages lab infrastructure and develops software frameworks for robotic experimentation. James specializes in real-time systems and embedded programming.
International Conference on Robotics and Automation (ICRA), 2025
IEEE Transactions on Robotics, 2024
International Conference on Human-Robot Interaction (HRI), 2024
IEEE Robotics and Automation Letters (RA-L), 2024
International Conference on Intelligent Robots and Systems (IROS), 2023