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Navigating with Finesse: Leveraging Neural Network-based Lidar Perception and iLQR Control for Intelligent Agriculture Robotics.

, , , and . LARS/SBR/WRE, page 502-507. IEEE, (2023)

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Multi-Sensor Fusion based Robust Row Following for Compact Agricultural Robots., , , , , and . Field Robotics, 2 (1): 1291-1319 (March 2022)ApproxCaliper: A Programmable Framework for Application-aware Neural Network Optimization., , , , , , , , , and 2 other author(s). MLSys, mlsys.org, (2023)Multi-Sensor Fusion based Robust Row Following for Compact Agricultural Robots., , , , , and . CoRR, (2021)Navigating with Finesse: Leveraging Neural Network-based Lidar Perception and iLQR Control for Intelligent Agriculture Robotics., , , and . LARS/SBR/WRE, page 502-507. IEEE, (2023)W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics., , , , , and . IEEE Robotics Autom. Lett., 9 (6): 5623-5630 (June 2024)Lessons from Deploying CropFollow++: Under-Canopy Agricultural Navigation with Keypoints., , , , , and . CoRR, (2024)Learning to Turn: Diffusion Imitation for Robust Row Turning in Under-Canopy Robots., , , , , , and . CoRR, (2024)Deep Model Predictive Control., , , and . CoRR, (2023)Under-canopy dataset for advancing simultaneous localization and mapping in agricultural robotics., , , , , , , , and . Int. J. Robotics Res., 43 (6): 739-749 (2024)Learned Visual Navigation for Under-Canopy Agricultural Robots., , , , , , and . Robotics: Science and Systems, (2021)