Biography
Nived joined the ORI as a post-doctoral research assistant in 2021. He is working with the Dynamic Robot Systems Group on navigation and mapping tasks for field robots.
During his Ph.D. at the University of Bonn, Nived worked on techniques for localization and mapping for robots in agricultural fields. His research focus has been on developing robust registration techniques for SLAM systems using vision and LiDAR data acquired over long time intervals. Prior to that, Nived received his master's degree in Robotics from Ecole Centrale de Nantes (ECN), France, and the University of Genoa, Italy in 2015.
Nived is also passionate about teaching and has given lectures in M.Sc. courses on Mobile Sensing and Robotics, and Techniques for Self-Driving Cars.
Research
Research Groups
Related Academics
Recent Publications
Tree instance segmentation and traits estimation for forestry environments exploiting LiDAR data collected by mobile robots
Malladi MVR, Guadagnino T, Lobefaro L, Mattamala M, Griess H et al. (2024), 2024 IEEE International Conference on Robotics and Automation (ICRA), 17933-17940
BibTeX
@inproceedings{treeinstanceseg-2024/8,
title={Tree instance segmentation and traits estimation for forestry environments exploiting LiDAR data collected by mobile robots},
author={Malladi MVR, Guadagnino T, Lobefaro L, Mattamala M, Griess H et al.},
booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA 2024)},
pages={17933-17940},
year = "2024"
}
Osprey: multisession autonomous aerial mapping with LiDAR-based SLAM and next best view planning
Border R, Chebrolu N, Tao Y, Gammell JD & Fallon M (2024), IEEE Transactions on Field Robotics, 1, 113-130
BibTeX
@article{ospreymultisess-2024/7,
title={Osprey: multisession autonomous aerial mapping with LiDAR-based SLAM and next best view planning},
author={Border R, Chebrolu N, Tao Y, Gammell JD & Fallon M},
journal={IEEE Transactions on Field Robotics},
volume={1},
pages={113-130},
publisher={IEEE},
year = "2024"
}
Extrinsic calibration of camera to LIDAR using a differentiable checkerboard model
Fu L, Chebrolu N & Fallon M (2023), Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), 00, 1825-1831
BibTeX
@inproceedings{extrinsiccalibr-2023/10,
title={Extrinsic calibration of camera to LIDAR using a differentiable checkerboard model},
author={Fu L, Chebrolu N & Fallon M},
booktitle={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)},
pages={1825-1831},
year = "2023"
}
Fast traversability estimation for wild visual navigation
Frey J, Mattamala Aravena ME, Chebrolu N, Cadena C, Fallon M et al. (2023), Robotics: Science and System XIX, 19
BibTeX
@inproceedings{fasttraversabil-2023/7,
title={Fast traversability estimation for wild visual navigation},
author={Frey J, Mattamala Aravena ME, Chebrolu N, Cadena C, Fallon M et al.},
booktitle={19th Robotics: Science and Systems (RSS 2023)},
year = "2023"
}
Fast traversability estimation for wild visual navigation
Frey J, Mattamala Aravena ME, Chebrolu N, Cadena C, Fallon M et al. (2023), Robotics: Science and Systems, XIX, p054
BibTeX
@article{fasttraversabil-2023/6,
title={Fast traversability estimation for wild visual navigation},
author={Frey J, Mattamala Aravena ME, Chebrolu N, Cadena C, Fallon M et al.},
journal={Robotics: Science and Systems},
volume={XIX},
pages={p054},
publisher={Robotics: Science and Systems},
year = "2023"
}
Towards real-time forest inventory using handheld LiDAR
Proudman A, Ramezani M, Digumarti S, Chebrolu N & Fallon M (2022), Robotics and Autonomous Systems, 157
BibTeX
@article{towardsrealtime-2022/8,
title={Towards real-time forest inventory using handheld LiDAR},
author={Proudman A, Ramezani M, Digumarti S, Chebrolu N & Fallon M},
journal={Robotics and Autonomous Systems},
volume={157},
number={104240},
publisher={Elsevier},
year = "2022"
}
An efficient locally reactive controller for safe navigation in visual teach and repeat missions
Mattamala M, Chebrolu N & Fallon M (2022), IEEE Robotics and Automation Letters, 7(2), 2353-2360
BibTeX
@article{anefficientloca-2022/1,
title={An efficient locally reactive controller for safe navigation in visual teach and repeat missions},
author={Mattamala M, Chebrolu N & Fallon M},
journal={IEEE Robotics and Automation Letters},
volume={7},
pages={2353-2360},
publisher={IEEE},
year = "2022"
}
Building an AerialGround Robotics System for Precision Farming: An Adaptable Solution
Pretto A, Aravecchia S, Burgard W, Chebrolu N, Dornhege C et al. (2021), IEEE Robotics & Automation Magazine, 28(3), 29-49
BibTeX
@article{buildinganaeria-2021/9,
title={Building an AerialGround Robotics System for Precision Farming: An Adaptable Solution},
author={Pretto A, Aravecchia S, Burgard W, Chebrolu N, Dornhege C et al.},
journal={IEEE Robotics & Automation Magazine},
volume={28},
pages={29-49},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
year = "2021"
}
Registration of spatio-temporal point clouds of plants for phenotyping
Chebrolu N, Magistri F, L??be T & Stachniss C (2021), PLoS ONE, 16(2)
BibTeX
@article{registrationofs-2021/2,
title={Registration of spatio-temporal point clouds of plants for phenotyping},
author={Chebrolu N, Magistri F, L??be T & Stachniss C},
journal={PLoS ONE},
volume={16},
number={e0247243},
publisher={Public Library of Science},
year = "2021"
}
Adaptive Robust Kernels for Non-Linear Least Squares Problems
Chebrolu N, Lbe T, Vysotska O, Behley J & Stachniss C (0), IEEE Robotics and Automation Letters, 6(2), 2240-2247
BibTeX
@article{adaptiverobustk-/,
title={Adaptive Robust Kernels for Non-Linear Least Squares Problems},
author={Chebrolu N, Lbe T, Vysotska O, Behley J & Stachniss C},
journal={IEEE Robotics and Automation Letters},
volume={6},
pages={2240-2247},
publisher={Institute of Electrical and Electronics Engineers (IEEE)}
}
