121 citations · 323 across the 6 of their papers we have counts for
6 papers
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…