|Current Projects [Past Projects]|
|Adaptive Introspection for Robust Long Duration Autonomy
Long duration autonomy for unmanned systems is difficult to achieve as current systems are design limited to anticipated exceptions and do not adapt to long-term changes in the environment. In addition, the challenge of designing experiments for long durations that provoke unanticipated exceptions is difficult. In this project we will enable long-term operation in unpredictable environments by developing an adaptive introspection and deployment approach and evaluating the ideas in an experimental setup that will provoke exceptions.
|Helicopter Obstacle Avoidance and Landing
In this project we develop the trajectory planning system for an autonomous helicopter. The helicopter is used for cargo delivery. To read more about the trajectory planning system see the following publications.
|Indoor Flight in Degraded Visual Environments
Our goal is to fly indoors in degraded visual environments to localize people and fire. We are developing accurate real-time localization and control to be able to fly in these challenging conditions.
|Micro Air Vehicle Scouts for Intelligent Semantic Mapping
The goal of this project is develop the next level of capability for a low-flying, map building MAV scout. The research will demonstrate rapid scouting in cluttered environments and acquire relevant semantically annotated maps.
|The Aerial Robotic Infrastructure Analyst (ARIA)
The Aerial Robotic Infrastructure Analyst (ARIA) rapidly creates comprehensive, high-resolution, semantically rich 3D models of infrastructure – an interactive assistant for infrastructure inspection.
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
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