Session: Fall 2024 A Term
This course exposes the students to the mathematical foundations of deep learning applied to images. Perception stacks in state-of-the-art robots are rapidly adapting the latest advancements in deep learning due to their efficacy and high accuracy. The course will cover advanced and state-of-the-art topics such as sim2real, adversarial attacks on neural networks, vision transformers and diffusion models. Additional topics explored in this course include image formation, linear classifiers, neural networks and backpropagation, Convolutional Neural Networks (CNNs), CNN architectures, data generation for sim2real, black- and white-box attacks on neural networks as applied to build state-of-the-art robotic stack.
Session: Spring 2024
This is an advanced course on graduate computer vision and computational photography. This course will explore image formation, image features, image segmentation, image stitching, image recognition, motion estimation, 3D point clouds and will touch upon basics of augmented reality. This course is heavily redesigned this time to showcase how to model classical 3D geometry problems using Deep Learning.
Session: Fall 2023
This is an advanced course on autonomy stack for aerial robots. A unique aspect of this course is its hands-on aspect. Our goal is to train the students to develop real-time perception, planning, control and AI algorithms for the realization of autonomous aerial systems. The course follows a series of projects that will finally build upto an autonomous drone race on an obstacle course in which the students will compete.
Session: Spring 2023
This is an advanced course on graduate computer vision and computational photography. This course will explore image formation, image features, image segmentation, image stitching, image recognition, motion estimation, 3D point clouds and will touch upon basics of augmented reality. This course is heavily redesigned this time to showcase how to model classical 3D geometry problems using Deep Learning.
Session: Fall 2022
This is an advanced course on graduate computer vision and computational photography. This course will explore image formation, image features, image segmentation, image stitching, image recognition, motion estimation, 3D point clouds and will touch upon basics of augmented reality. This course is heavily redesigned this time to showcase how to model classical 3D geometry problems using Deep Learning.
Perception and Autonomous Robotics Group
Worcester Polytechnic Institute
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Perception and Autonomous Robotics Group