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High precision control and deep learning-based corn stand counting algorithms for agricultural robot.

, , , and . Auton. Robots, 44 (7): 1289-1302 (2020)

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Can Co-robots Learn to Teach?, , , and . CoRR, (2016)Concurrent learning for parameter estimation using dynamic state-derivative estimators., , , and . CoRR, (2015)Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems., and . CoRL, volume 78 of Proceedings of Machine Learning Research, page 472-481. PMLR, (2017)Kernel controllers: A systems-theoretic approach for data-driven modeling and control of spatiotemporally evolving processes., , and . CDC, page 7365-7370. IEEE, (2015)Agbots: Weeding a field with a team of autonomous robots., , , and . Comput. Electron. Agric., (2019)Autonomous Flight in GPS-Denied Environments Using Monocular Vision and Inertial Sensors., , , , and . J. Aerosp. Inf. Syst., 10 (4): 172-186 (2013)High precision control and deep learning-based corn stand counting algorithms for agricultural robot., , , and . Auton. Robots, 44 (7): 1289-1302 (2020)High Precision Control of Tracked Field Robots in the Presence of Unknown Traction Coefficients., , , and . CoRR, (2021)Distributed State Estimation with Deep Neural Networks for Uncertain Nonlinear Systems under Event-Triggered Communication., , , and . CoRR, (2022)Gazebo Plants: Simulating Plant-Robot Interaction with Cosserat Rods., , , , , , and . CoRR, (2024)