Agricultural Robotics

Precision Viticulture

We have funding from the National Institute of Food and Agriculture and the Cornell Digital Agriculture Initiative to explore ways in which soft robots may safely interact with and measure the state of crops in the field for improved yield conditions.


  • Jonathan Jaramillo, Justine Vanden Heuvel, and Kirstin Petersen. “Low-Cost, Computer Vision-Based, Prebloom Yield Prediction in Vineyards”, Front. Agron., doi: 10.3389/fagro.2021.648080, 2021.(Paper)(Bibtex)
  • Danna Ma*, Steven Ceron*, Gregory Kaiser, and Kirstin Petersen, “Simple Low-Cost Fabrication of Soft Sensors for Feature Reconstruction”, Robotics Automation Letters and the Intl. Conference on Soft Robotics (RoboSoft), 2020. (Paper)(Video)(Bibtex)