Automated Data Capture in Indoor Construction Environments
Reliable objective (i.e., cost, time, and scope) assessment of architecture, engineering, and construction (AEC) projects requires reliable data with...
Deep Neural Networks for Robotics
We aim to develop a platform-independent approach that utilizes deep neural networks (DNNs) to enhance classical controllers to achieve...
Learning Control Theory and Foundations
Learning algorithms hold great promise for improving a robot's performance whenever a-priori models are not sufficiently accurate. We have developed...
Self-Driving Cars
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...
High-Performance Robot Control and Planning
This project explores advanced control and planning algorithms, and their applicability to robotics problems. To achieve reliable robot operations...
Safe and Robust Robot Learning in Unknown Environments
Learning can be used to improve the performance of a robotic system in a complex environment. However, providing safety guarantees during the...
Robotic Swarms
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,...
Efficient Multi-Task and Multi-Robot Learning
Can robots learn from each other? Is sharing information between robots beneficial? Robots should be able to learn from few demonstrations of a task,...
Vision-Based Flying and Driving
We use vision to achieve robot localization and navigation without using external infrastructure. Our ground robot experiments localize based on 3D...
Music in Motion: Dancing Quadrocopters
This project features agile, multi-vehicle flight performances that are designed and executed to music. We develop motion planning, control and...
Aerial Robotics for Mining
In this project we aim to develop UAV based monitoring and data acquisition solutions that enable efficient and timely decision-making for...
Counter-Gust System for Hybrid Aerial Vehicles
The project objective of this project is to design and implement an automatic crosswind stabilization system for a new, hybrid aerial vehicle...