Targeted observation and seeding using autonomous unmanned aircraft systems

The main goal of this research is to develop and assess an autonomous UAS that utilizes in-situ real time data to sense, target and implement seeding.

Severe-storm Targeted Observation and Robotic Monitoring (STORM)

This project addresses the development of autonomous self- deploying aerial robotic systems (SDARS) that will enable new in-situ atmospheric science applications through targeted observation.

User-Adaptive Assurances for Enhancing Trust

This project will investigate the closed loop interactions between assured autonomy and user trust. This project investigates a model-based approach to understanding how user trust evolves in systems consisting of a supervising user and an autonomous agent.

Scalable Cooperative Tracking of Moving RF Ground Targets

This work will develop a new approach to decentralized sensor fusion and trajectory optimization to enable multiple networked UAS assets to cooperatively localize moving RF signal sources on the ground in the presence of uncertainties in ownship states and sensing models. Our approach ties together model predictive planning with the recently developed idea of factorized distributed data fusion, which allows each tracker vehicle to ignore state uncertainties for other vehicles and absorb new target state and local model information without sacrificing overall estimation performance. 

Project Storm

Project Storm leverages the CU-Boulder’s proven expertise and extensive capability in nomadic, integrated collection of real-time supercell data using unmanned aircraft systems (UAS) to better predict tornadogenesis and dramatically increase Tornado Warning lead-time.  CU-Boulder collaborates with an established network of government, academic, and industry partners to improve measurement and collection of supercell data.  The CU-Boulder Earth Lab works closely with IRISS to process and distribute datasets for improved tornado forecasting techniques.

Project Forest

Project Forest will employ CU-Boulder’s highly sophisticated unmanned aircraft infrastructure for remote sensing, data collection, and monitoring of ecosystem health - such as vegetation growth and tree distribution.  Earth Lab will then process and analyze collected data in collaboration with the Cooperative Institute for Research in Environmental Sciences (CIRES) and the Institute of Arctic and Alpine Research (INSTAAR), also located in Boulder, to inform future ecological and conservationist endeavors.

Old Projects

Persistent Information-Gathering with Airborne Surveillance and Communication Networks in Fading Environments

The purpose of this collaborative effort is to develop and evaluate a hierarchical framework for real-time, path planning for persistent information-gathering tasks in fading communication environments. Novel features of the proposed work are learning the radio environment and background winds; consideration of the energy that can be gained from wind field patterns (energetics); and a persistent, communication-aware information-based formulation of sensing tasks (informatics) that can integrate multiple sensing modalities.

Collaborative Research: IUCRC: FRP: Network Enabled Airborne Autonomy

This effort will investigate the value of utilizing cloud robotics techniques for network-enabled airborne autonomy. Algorithms will be designed and assessed that allow cooperating unmanned aircraft to access dispersed cloud computing resources. This infrastructure will be used to perform complex computation in support of autonomous perception, planning, and learning tasks.

Collaborative Research: RAPID: Integration of Unmanned Aircraft System (UAS) into the Program for Research on Elevated Convection with Intense Precipitation

Funded by the National Science Foundation (NSF), the goal of this project is to further the knowledge of the nature of elevated convection with heavy rain. The University of Colorado is teaming with the University of Missouri and the University of Nebraska to integrate unmanned aircraft into the PRECIP field campaign.

Efficient Reconfigurable Cockpit Design and Fleet Operations using Software Intensive, Networked and Wireless Enabled Architecture (ECON)

The purpose of this project is to investigate the utility of software-intensive, networked, wireless, reconfigurable cockpit design for safe and efficient fleet operations. A large collaborative team is being led by the NASA Ames Research Center. We will make specific contributions in the area of cybersecurity for networked operations.