Sumanth Nagulavancha — accepted AI-conference papers

2025

A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics

Federico Magistri, Thomas Läbe, Elias Marks, Sumanth Nagulavancha, Yue Pan, Claus Smitt +6

ICRA 2025

As the world population is expected to reach 10 billion by 2050, our agricultural production system needs to double its productivity despite a decline of human workforce in the agricultural sector. Autonomous robotic systems are one promising pathway to increase productivity by taking over labor-int

Cited by 4 Source ↗code ↗Scholar ↗

2022

Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames

Federico Magistri, Elias Marks, Sumanth Nagulavancha, Ignacio Vizzo, Thomas Läbe, Jens Behley +3

RA-L 2022

Monitoring plants and fruits is important in modern agriculture, with applications ranging from high-throughput phenotyping to autonomous harvesting. Obtaining highly accurate 3D measurements under real agricultural conditions is a challenging task. In this letter, we address the problem of estimati

Cited by 42 Source ↗Scholar ↗