4 papers
SSL-NBV: A Self-Supervised-Learning-Based Next-Best-View algorithm for Efficient 3D Plant Reconstruction by a Robot
Jianchao Ci, Eldert J. van Henten, Xin Wang +2
The 3D reconstruction of plants is challenging due to their complex shape causing many occlusions. Next-Best-View (NBV) methods address this by iteratively selecting new viewpoints…
A comparison between single-stage and two-stage 3D tracking algorithms for greenhouse robotics
David Rapado-Rincon, Akshay K. Burusa, Eldert J. van Henten +1
With the current demand for automation in the agro-food industry, accurately detecting and localizing relevant objects in 3D is essential for successful robotic operations. However…
3D Pose Estimation of Tomato Peduncle Nodes using Deep Keypoint Detection and Point Cloud
Jianchao Ci, Xin Wang, David Rapado-Rincón +2
Greenhouse production of fruits and vegetables in developed countries is challenged by labor 12 scarcity and high labor costs. Robots offer a good solution for sustainable and cost…
Gradient-based Local Next-best-view Planning for Improved Perception of Targeted Plant Nodes
Akshay K. Burusa, Eldert J. van Henten, Gert Kootstra
Robots are increasingly used in tomato greenhouses to automate labour-intensive tasks such as selective harvesting and de-leafing. To perform these tasks, robots must be able to ac…