This page provides an overview of our current and past projects. For more details, please see our complete list of publications and our list of international research collaborators from academia, industry and government.
Also check out our Youtube channel, Google Scholar page, and Twitter feed.
Learning can be used to improve the performance of a robotic system in a complex environment. However, providing safety guarantees during the...
For robots to safely interact with people and the real world, they need the capability to not only perceive but also understand their surroundings in...
Learning algorithms hold great promise for improving a robot's performance whenever a-priori models are not sufficiently accurate. We have developed...
We enable robots to move around the environment while manipulating and interacting with objects. Our work includes nonprehensile manipulation, which...
A key underpinning factor for the reliable operation of any autonomous system is the ability to map and localize itself against the map of an...
We aim to develop a platform-independent approach that utilizes deep neural networks (DNNs) to enhance classical controllers to achieve...
Robots are required to navigate among humans to achieve a variety of service tasks, such as food delivery and autonomous wheelchair navigation....
As part of the SAE Autodrive Challenge, students in our lab will be working on designing, developing, and testing a self-driving car over the next...
There are tasks that cannot be done by a single robot alone. A group of robots collaborating on a task has the potential of being highly efficient,...
We use vision to achieve robot localization and navigation without using external infrastructure. Our ground robot experiments localize based on 3D...
This project features agile, multi-vehicle flight performances that are designed and executed to music. We develop motion planning, control and...
This series of projects aims to address the critical challenges of deploying aerial robotics in various applications or industries. Mining This...
This project explores the physical limits of ground and aerial robots. When operating robots in these regimes, unknown dynamic effects (for example,...
Hardware and software co-design is one of our future research directions. Form and function are co-dependent in robotics as they are in nature. For...
Autonomy through deployment is one of our future projects. This project focuses on enhancing robot skill acquisition through a learning-by-deployment...
Learning through contact is one of our future directions. As robots venture from traditional static environments to versatile ones, they need to...
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