
About
Nived Chebrolu is a Senior Research Associate at the Oxford Robotics Institute (ORI), working with the Dynamic Robot Systems Group since 2021. His research focuses on robot navigation and mapping for field robots, particularly in forest and agricultural environments.
- University of Bonn – Ph.D. in Robotics
- Ecole Centrale de Nantes (France) & University of Genoa (Italy) – M.Sc. in Robotics (2015)
Research Interests:
- Simultaneous Localization and Mapping (SLAM) with LiDAR and vision systems
- Robust registration techniques for long-term autonomy
- Perception systems for forest and agricultural robotics
- Autonomous aerial and terrestrial navigation
- Field robotics applications in precision agriculture
Publications reflect expertise in:
- Forest point cloud co-registration
- Online tree reconstruction
- LiDAR-based place recognition
- Traversability estimation for wild environments
- Handheld LiDAR for real-time inventory
Teaching Activities:
- Lecturer for M.Sc. course on Mobile Sensing and Robotics
- Instructor for Techniques for Self-Driving Cars course
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