most citedO2RNet: Occluder-Occludee Relational Network for Robust Apple Detection in Clustered Orchard Environments

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO20231 cited

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…

cs.RO20231 cited

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,…

eess.SY2023

Extended Neighboring Extremal Optimal Control with State and Preview Perturbations

Amin Vahidi-Moghaddam, Kaixiang Zhang, Zhaojian Li +3

Optimal control schemes have achieved remarkable performance in numerous engineering applications. However, they typically require high computational cost, which has limited their…

cs.RO2023

ABatRe-Sim: A Comprehensive Framework for Automated Battery Recycling Simulation

Huanqing Wang, Kaixiang Zhang, Keyi Zhu +2

With the rapid surge in the number of on-road Electric Vehicles (EVs), the amount of spent lithium-ion (Li-ion) batteries is also expected to explosively grow. The spent battery pa…

cs.CV20231 cited

O2RNet: Occluder-Occludee Relational Network for Robust Apple Detection in Clustered Orchard Environments

Pengyu Chu, Zhaojian Li, Kaixiang Zhang +3

Automated apple harvesting has attracted significant research interest in recent years due to its potential to revolutionize the apple industry, addressing the issues of shortage a…