Meher Malladi

PhD Student
Contact:
Email: meher.malladi@nulluni-bonn.de
Tel: +49 – 228 – 73 – 29 08
Fax: +49 – 228 – 73 – 27 12
Office: Nussallee 15, 0. OG, room 0.012
Address:
University of Bonn
Photogrammetry, IGG
Nussallee 15
53115 Bonn

Profiles: Google Scholar | LinkedIn

Research Interests

  • LiDAR SLAM
  • State Estimation

Short CV

Meher Malladi is a Ph.D. candidate at the University of Bonn since November 2022. His research has focused on semantic scene understanding in forestry environments, including panoptic segmentation of forests and tree trait estimation. Currently, he’s interested in LiDAR technologies, specifically LiDAR SLAM and state estimation, and in addressing the challenges in applying these techniques to extreme environments.

Before starting his Ph.D., Meher earned his Bachelor’s degree in Mechanical Engineering in India and a Master’s degree in Automotive Engineering from RWTH Aachen University. He also completed internships at the Indian Space Research Organisation, working on topics like remote sensing and plasma simulation.

Publications

2025

  • M. V. R. Malladi, N. Chebrolu, I. Scacchetti, L. Lobefaro, T. Guadagnino, B. Casseau, H. Oh, L. Freissmuth, M. Karppinen, J. Schweier, S. Leutenegger, J. Behley, C. Stachniss, and M. Fallon, “DigiForests: A Longitudinal LiDAR Dataset for Forestry Robotics,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2025.
    [BibTeX] 
    @inproceedings{malladi2025icra,
author = {M.V.R. Malladi and N. Chebrolu and I. Scacchetti and L. Lobefaro and T. Guadagnino and B. Casseau and H. Oh and L. Freissmuth and M. Karppinen and J. Schweier and S. Leutenegger and J. Behley and C. Stachniss and M. Fallon},
title = {{DigiForests: A Longitudinal LiDAR Dataset for Forestry Robotics}},
booktitle = icra,
year = {2025},
note = {Accepted},
}
  • T. Guadagnino, B. Mersch, I. Vizzo, S. Gupta, M. V. R. Malladi, L. Lobefaro, G. Doisy, and C. Stachniss, “Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2025.
    [BibTeX] [PDF] [Code] 
    @inproceedings{guadagnino2025icra,
author = {Guadagnino, T. and Mersch, B. and Vizzo, I. and Gupta, S. and Malladi, M.V.R. and Lobefaro, L. and Doisy, G. and Stachniss, C.},
title = {{Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces}},
booktitle = icra,
year = {2025},
url = {https://arxiv.org/pdf/2410.10277},
codeurl = {https://github.com/PRBonn/kinematic-icp},
}

2024

  • T. Guadagnino, B. Mersch, I. Vizzo, S. Gupta, M. V. R. Malladi, L. Lobefaro, G. Doisy, and C. Stachniss, “Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces,” arXiv Preprint, vol. arXiv:2410.10277, 2024.
    [BibTeX] [PDF] [Code] 
    @article{guadagnino2024arxiv,
author = {Guadagnino, T. and Mersch, B. and Vizzo, I. and Gupta, S. and Malladi, M.V.R. and Lobefaro, L. and Doisy, G. and Stachniss, C.},
title = {{Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces}},
journal = arxiv,
year = {2024},
volume = {arXiv:2410.10277},
url = {https://arxiv.org/pdf/2410.10277},
codeurl = {https://github.com/PRBonn/kinematic-icp},
}
  • L. Lobefaro, M. V. R. Malladi, T. Guadagnino, and C. Stachniss, “Spatio-Temporal Consistent Mapping of Growing Plants for Agricultural Robots in the Wild,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2024. doi:10.1109/IROS58592.2024.10802321
    [BibTeX] [PDF] [Code] [Video] 
    @inproceedings{lobefaro2024iros,
author = {L. Lobefaro and M.V.R. Malladi and T. Guadagnino and C. Stachniss},
title = {{Spatio-Temporal Consistent Mapping of Growing Plants for Agricultural Robots in the Wild}},
booktitle = iros,
year = 2024,
codeurl = {https://github.com/PRBonn/spatio-temporal-mapping.git},
videourl = {https://youtu.be/bnWZWd5DHTg},
doi = {10.1109/IROS58592.2024.10802321},
}
  • M. V. R. Malladi, T. Guadagnino, L. Lobefaro, M. Mattamala, H. Griess, J. Schweier, N. Chebrolu, M. Fallon, J. Behley, and C. Stachniss, “Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data ,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2024. doi:10.1109/ICRA57147.2024.10611169
    [BibTeX] [PDF] [Code] [Video] 
    @inproceedings{malladi2024icra,
author = {M.V.R. Malladi and T. Guadagnino and L. Lobefaro and M. Mattamala and H. Griess and J. Schweier and N. Chebrolu and M. Fallon and J. Behley and C. Stachniss},
title = {{Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data }},
booktitle = icra,
year = 2024,
doi = {10.1109/ICRA57147.2024.10611169},
videourl = {https://youtu.be/14uuCxmfGco},
codeurl = {https://github.com/PRBonn/forest_inventory_pipeline},
}

2023

  • L. Lobefaro, M. V. R. Malladi, O. Vysotska, T. Guadagnino, and C. Stachniss, “Estimating 4D Data Associations Towards Spatial-Temporal Mapping of Growing Plants for Agricultural Robots,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2023.
    [BibTeX] [PDF] [Code] [Video] 
    @inproceedings{lobefaro2023iros,
author = {L. Lobefaro and M.V.R. Malladi and O. Vysotska and T. Guadagnino and C. Stachniss},
title = {{Estimating 4D Data Associations Towards Spatial-Temporal Mapping of Growing Plants for Agricultural Robots}},
booktitle = iros,
year = 2023,
codeurl = {https://github.com/PRBonn/plants_temporal_matcher},
videourl = {https://youtu.be/HpJPIzmXoag}
}