Nikolai Spine — accepted AI-conference papers

2025

Joint 3D Point Cloud Segmentation Using Real-Sim Loop: From Panels to Trees and Branches

Tian Qiu, Ruiming Du, Nikolai Spine, Lailiang Cheng, Yu Jiang

ICRA 2025

Modern orchards are planted in structured rows with distinct panel divisions to improve management. Accurate and efficient joint segmentation of point cloud from Panel to Tree and Branch (P2TB) is essential for robotic operations. However, most current segmentation methods focus on single-instance s

Cited by 2 Source ↗Scholar ↗

2024

(Real2Sim)−1: 3D Branch Point Cloud Completion for Robotic Pruning in Apple Orchards

Tian Qiu, Alan Zoubi, Nikolai Spine, Lailiang Cheng, Yu Jiang

IROS 2024poster

Robotic branch pruning, a rapidly growing field addressing labor shortages in agriculture, requires detailed perception of branch geometry and topology. However, point clouds obtained in agricultural settings often lack completeness, limiting pruning accuracy. This work addressed point cloud quality…

Cited by 1 Source ↗Scholar ↗