University of Pennsylvania

R Vijay Kumar

Jnaneshwar Das

Yash Shailesh Mulgaonkar

Gareth Benoit Cross

Anurag Makineni

Daniel Harris Orol

Giuseppe Loianno

Chao Qu

Delaney Vanessa Kaufman

Sarah Yifang Tang

Lukas Vacek

The present subject matter relates to systems, devices, and methods for agricultural sample collection. In one aspect, a sample collection system includes an aerial robotic platform, an arm assembly coupled to the aerial robotic platform and comprising an arm that extends away from the aerial robotic platform, and a sample collector connected to a distal end of the arm, wherein the sample collector is configured to selectively remove one or more samples of agricultural material from a plant to be analyzed.

Systems, devices, and methods for agricultural sample collection

The present subject matter relates to systems and methods for generating trajectories for a plurality of vehicles in a multi-vehicle system. An optimal motion plan is determined for moving each of the plurality of vehicles between a respective starting position and an assigned goal position, possible collisions are identified among the optimal motion plans of the plurality of vehicles, and, for a subset of the plurality of vehicles identified as being associated with a possible collision, the optimal motion plan of each vehicle in the subset is modified to define modified trajectories that each include a common circular holding pattern such that the possible collision is avoided.

Systems and methods for generating safe trajectories for multi-vehicle teams

The present subject matter relates to systems, devices, and methods for data-driven precision agriculture through close-range remote sensing with a versatile imaging system. This imaging system can be deployed onboard low-flying unmanned aerial vehicles (UAVs) and/or carried by human scouts. Additionally, the present technology stack can include methods for extracting actionable intelligence from the rich datasets acquired by the imaging system, as well as visualization techniques for efficient analysis of the derived data products. In this way, the present systems and methods can help specialty crop growers reduce costs, save resources, and optimize crop yield.

Systems, devices, and methods for robotic remote sensing for precision agriculture

Systems, devices, and methods for on-board sensing and control of robotic vehicles (e.g., MAVs) using commercial off-the-shelf hand-held electronic devices as a sensing and control system are provided. In one aspect, a system for controlling a micro aerial vehicle may include one or more sensors, a state estimation module in communication with the one or more sensors, the state estimation module being configured to generate an estimated pose of the micro aerial vehicle based on inputs from the one or more sensors, and a position controller in communication with the state estimation module and configured to communicate attitude commands to an attitude controller of the micro aerial vehicle. Each of the one or more sensors, the state estimation module, and the position controller may be contained in a commercial off-the-shelf hand-held electronic device that is configured to be coupled to the micro aerial vehicle.

Systems, devices, and methods for on-board sensing and control of micro aerial vehicles

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Wilmington, DE, United States of America

R Vijay Kumar