The DAISy Lab

Assistant Professor of Biological and Agricultural Engineering

North Carolina State University

About

The DAISy (Digital Agroecology and Intelligent Systems) Lab advances technical and human-centered design approaches for robotic and sensor systems to monitor agricultural and natural processes, while ensuring these systems are usable and adopted. Research in the DAISy Lab is done at the intersection of sensors and robotics, data analytics, and decision support, with a focus on technology development.

Dr. Sierra Young is an Assistant Professor in the Biological and Agricultural Engineering Department at North Carolina State University. Broadly speaking, her research focuses around the use of electronics, robotics, and automation for sensing and sense-making in natural and agricultural systems. She has expertise in deploying unpiloted systems (including land, air, and surface vehicles) for hydrologic, environmental, and phenotyping applications.

Interests

  • Precision Agriculture and Biosensing Applications
  • Robotics and Automation
  • Visual Sensing
  • Human-Robot Interaction

Education

  • PhD in Civil and Environmental Engineering, 2018

    University of Illinois at Urbana-Champaign

  • MS in Civil and Environmental Engineering, 2015

    University of Illinois at Urbana-Champaign

  • BSc in Civil and Environmental Engineering, 2014

    Cornell University

Recent & Upcoming Talks

Emerging applications indicate that physical interaction and manipulation with remote environments will be increasingly important tasks for small, uncrewed aerial systems (UAS), particularly in applications such as environmental sampling and infrastructure testing. Broadly speaking, however, most UAS manipulation tasks are not yet fully autonomous due to challenges in perception and control, thus the availability of a human operator to monitor and intervene during telemanipulation remains essential. However, how to most effectively enable remote telemanipulation by a semiautonomous human-UAS team remains an open question. This work addresses this question by taking a hybrid autonomy approach to utilize the system’s autonomous capabilities while taking advantage of the domain expertise of the operator when the remote environment is unknown. Specifically, this work focuses both on control development and human-robot interface design for a UAS manipulation system and their effects on telemanipulation task performance. Results from this work indicate that successful remote manipulation is possible by non-expert users, although experimental validation in multiple domains is needed. The practical contributions of this work aim to expedite the use of aerial manipulation technologies by scientists, researchers, and stakeholders, particularly in the civil, environmental, and agricultural domains, who will directly benefit from improved manipulating UAS performance.

Meet the Team

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