226 citations · 878 across the 10 of their papers we have counts for
10 papers
High-fidelity 3D Reconstruction of Plants using Neural Radiance Field
Kewei Hu, Ying Wei, Yaoqiang Pan +2
Accurate reconstruction of plant phenotypes plays a key role in optimising sustainable farming practices in the field of Precision Agriculture (PA). Currently, optical sensor-based…
A Novel Perception and Semantic Mapping Method for Robot Autonomy in Orchards
Yaoqiang Pan, Hao Cao, Kewei Hu +2
Agricultural robots must navigate challenging dynamic and semi-structured environments. Recently, environmental modeling using LiDAR-based SLAM has shown promise in providing highl…
Semantic Segmentation of Fruits on Multi-sensor Fused Data in Natural Orchards
Hanwen Kang, Xing Wang
Semantic segmentation is a fundamental task for agricultural robots to understand the surrounding environments in natural orchards. The recent development of the LiDAR techniques e…
Accurate Fruit Localisation for Robotic Harvesting using High Resolution LiDAR-Camera Fusion
Hanwen Kang, Xing Wang, Chao Chen
Accurate depth-sensing plays a crucial role in securing a high success rate of robotic harvesting in natural orchard environments. Solid-state LiDAR (SSL), a recently introduced Li…
Soft Robotic Finger with Variable Effective Length enabled by an Antagonistic Constraint Mechanism
Xing Wang, Hanwen Kang, Hongyu Zhou +2
Compared to traditional rigid robotics, soft robotics has attracted increasing attention due to its advantages as compliance, safety, and low cost. As an essential part of soft rob…
Geometry-Aware Fruit Grasping Estimation for Robotic Harvesting in Orchards
Hanwen Kang, Xing Wang, Chao Chen
Field robotic harvesting is a promising technique in recent development of agricultural industry. It is vital for robots to recognise and localise fruits before the harvesting in n…
A Tactile-enabled Grasping Method for Robotic Fruit Harvesting
Hongyu Zhou, Xing Wang, Hanwen Kang +1
In the robotic crop harvesting environment, foreign objects intrusion in the gripper workspace is frequently occurring and unignorable, however, rarely addressed. This paper presen…
Real-Time Fruit Recognition and Grasping Estimation for Autonomous Apple Harvesting
Hanwen Kang, Chao Chen
In this research, a fully neural network based visual perception framework for autonomous apple harvesting is proposed. The proposed framework includes a multi-function neural netw…
Visual Perception and Modelling in Unstructured Orchard for Apple Harvesting Robots
Hanwen Kang, Chao Chen
Vision perception and modelling are the essential tasks of robotic harvesting in the unstructured orchard. This paper develops a framework of visual perception and modelling for ro…
Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards
Hanwen Kang, Chao Chen
Robotic harvesting of fruits in orchards is a challenging task, since high density and overlapping of fruits and branches can heavily impact the success rate of robotic harvesting.…