13 citations · 16 across the 6 of their papers we have counts for
6 papers
A Modular Dual-Arm Apple Harvesting Robot with Enhanced Field Performance
Keyi Zhu, Kyle Lammers, Chaaran Arunachalam +3
Robotic apple harvesting offers a promising solution to labor shortages in commercial orchards, but low throughput and poor performance in orchard environments hinder its commercia…
Advancement and Field Evaluation of a Dual-arm Apple Harvesting Robot
Keyi Zhu, Kyle Lammers, Kaixiang Zhang +5
Apples are among the most widely consumed fruits worldwide. Currently, apple harvesting fully relies on manual labor, which is costly, drudging, and hazardous to workers. Hence, ro…
Foundation Model-Based Apple Ripeness and Size Estimation for Selective Harvesting
Keyi Zhu, Jiajia Li, Kaixiang Zhang +4
Harvesting is a critical task in the tree fruit industry, demanding extensive manual labor and substantial costs, and exposing workers to potential hazards. Recent advances in auto…
MetaFruit Meets Foundation Models: Leveraging a Comprehensive Multi-Fruit Dataset for Advancing Agricultural Foundation Models
Jiajia Li, Kyle Lammers, Xunyuan Yin +4
Fruit harvesting poses a significant labor and financial burden for the industry, highlighting the critical need for advancements in robotic harvesting solutions. Machine vision-ba…
High-Precision Fruit Localization Using Active Laser-Camera Scanning: Robust Laser Line Extraction for 2D-3D Transformation
Pengyu Chu, Zhaojian Li, Kaixiang Zhang +2
Recent advancements in deep learning-based approaches have led to remarkable progress in fruit detection, enabling robust fruit identification in complex environments. However, muc…
Active Laser-Camera Scanning for High-Precision Fruit Localization in Robotic Harvesting: System Design and Calibration
Kaixiang Zhang, Pengyu Chu, Kyle Lammers +2
Robust and effective fruit detection and localization is essential for robotic harvesting systems. While extensive research efforts have been devoted to improving fruit detection,…