3 papers
cs.RO2024
MinkSORT: A 3D deep feature extractor using sparse convolutions to improve 3D multi-object tracking in greenhouse tomato plants
David Rapado-Rincon, Eldert J. van Henten, Gert Kootstra
The agro-food industry is turning to robots to address the challenge of labour shortage. However, agro-food environments pose difficulties for robots due to high variation and occl…
cs.RO2024
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…
cs.RO2024
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…