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Nived Chebrolu

University of Bonn

25

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250

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Spatio-Temporal Registration Techniques for Agricultural Robots

2021
- Nived Chebrolu
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Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss

2021 ICRA | International Conference on Robotics and Automation
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Registration of spatio-temporal point clouds of plants for phenotyping.

2021 PLOS ONE
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Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution

2020 IEEE Robotics & Automation Magazine
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Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants

2020 ICRA | International Conference on Robotics and Automation
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Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution

2020 IEEE Robotics & Automation Magazine
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Adaptive Robust Kernels for Non-Linear Least Squares Problems

2020 arXiv: Robotics
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Visual Servoing-based Navigation for Monitoring Row-Crop Fields

2019 arXiv: Robotics
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Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields

2019 ICRA | International Conference on Robotics and Automation
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Building an Aerial-Ground Robotics System for Precision Farming. (arXiv:1911.03098v1 [cs.RO])

2019
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