43 citations · 123 across the 9 of their papers we have counts for
10 papers
GEAR-Seg: A Grounded Explainable Agent for Reasoning Segmentation and Data Engine
Yanan Wang, Wen Li, Yibin Ying +1
Reasoning segmentation requires localizing targets based on complex, implicit queries. Current end-to-end models typically entangle perception and deduction into an opaque black bo…
Learning to Pick: A Visuomotor Policy for Clustered Strawberry Picking
Zhenghao Fei, Wenwu Lu, Linsheng Hou +1
Strawberries naturally grow in clusters, interwoven with leaves, stems, and other fruits, which frequently leads to occlusion. This inherent growth habit presents a significant cha…
Strawberry Robotic Operation Interface: An Open-Source Device for Collecting Dexterous Manipulation Data in Robotic Strawberry Farming
Linsheng Hou, Wenwu Lu, Yanan Wang +2
The strawberry farming is labor-intensive, particularly in tasks requiring dexterous manipulation such as picking occluded strawberries. To address this challenge, we present the S…
Efficient and Safe Trajectory Planning for Autonomous Agricultural Vehicle Headland Turning in Cluttered Orchard Environments
Peng Wei, Chen Peng, Wenwu Lu +4
Autonomous agricultural vehicles (AAVs), including field robots and autonomous tractors, are becoming essential in modern farming by improving efficiency and reducing labor costs.…
Learn from Foundation Model: Fruit Detection Model without Manual Annotation
Yanan Wang, Zhenghao Fei, Ruichen Li +1
Recent breakthroughs in large foundation models have enabled the possibility of transferring knowledge pre-trained on vast datasets to domains with limited data availability. Agric…
Optimization-Based Motion Planning for Autonomous Agricultural Vehicles Turning in Constrained Headlands
Chen Peng, Peng Wei, Zhenghao Fei +2
Headland maneuvering is a crucial aspect of unmanned field operations for autonomous agricultural vehicles (AAVs). While motion planning for headland turning in open fields has bee…
End-to-end deep learning for directly estimating grape yield from ground-based imagery
Alexander G. Olenskyj, Brent S. Sams, Zhenghao Fei +4
Yield estimation is a powerful tool in vineyard management, as it allows growers to fine-tune practices to optimize yield and quality. However, yield estimation is currently perfor…
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection
Zhenghao Fei, Alex Olenskyj, Brian N. Bailey +1
Training real-world neural network models to achieve high performance and generalizability typically requires a substantial amount of labeled data, spanning a broad range of variat…
A strawberry harvest-aiding system with crop-transport co-robots: Design, development, and field evaluation
Chen Peng, Stavros Vougioukas, David Slaughter +2
Mechanizing the manual harvesting of fresh market fruits constitutes one of the biggest challenges to the sustainability of the fruit industry. During manual harvesting of some fre…
Row-sensing Templates: A Generic 3D Sensor-based Approach to Robot Localization with Respect to Orchard Row Centerlines
Zhenghao Fei, Stavros Vougioukas
Accurate robot localization relative to orchard row centerlines is essential for autonomous guidance where satellite signals are often obstructed by foliage. Existing sensor-based…