24 citations · 44 across the 6 of their papers we have counts for
6 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…
Semantics-Aware Next-best-view Planning for Efficient Search and Detection of Task-relevant Plant Parts
Akshay K. Burusa, Joost Scholten, David Rapado Rincon +3
Searching and detecting the task-relevant parts of plants is important to automate harvesting and de-leafing of tomato plants using robots. This is challenging due to high levels o…
Attention-driven Next-best-view Planning for Efficient Reconstruction of Plants and Targeted Plant Parts
Akshay K. Burusa, Eldert J. van Henten, Gert Kootstra
Robots in tomato greenhouses need to perceive the plant and plant parts accurately to automate monitoring, harvesting, and de-leafing tasks. Existing perception systems struggle wi…