activity
20232026
most citedHigh-fidelity 3D Reconstruction of Plants using Neural Radiance Field

87 citations · 95 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2026

RoBoSR: Structured Scene Representations for Embodied Robotic Reasoning

Kewei Hu, Wanchan Yu, Fangwen Chen +6

Despite rapid progress, embodied reasoning under real-world variability remains challenging. Existing approaches rely on demonstration-driven sequential biases, limiting flexibilit…

cs.RO2026

GSR: Learning Structured Reasoning for Embodied Manipulation

Kewei Hu, Michael Zhang, Wei Ying +7

Despite rapid progress, embodied agents still struggle with long-horizon manipulation that requires maintaining spatial consistency, causal dependencies, and goal constraints. A ke…

cs.RO2024

Developing Smart MAVs for Autonomous Inspection in GPS-denied Constructions

Paoqiang Pan, Kewei Hu, Xiao Huang +5

Smart Micro Aerial Vehicles (MAVs) have transformed infrastructure inspection by enabling efficient, high-resolution monitoring at various stages of construction, including hard-to…

cs.RO2024

Accurate Cutting-point Estimation for Robotic Lychee Harvesting through Geometry-aware Learning

Gengming Zhang, Hao Cao, Kewei Hu +4

Accurately identifying lychee-picking points in unstructured orchard environments and obtaining their coordinate locations is critical to the success of lychee-picking robots. Howe…

cs.CV2024★ 5 cited

Exploring Accurate 3D Phenotyping in Greenhouse through Neural Radiance Fields

Junhong Zhao, Wei Ying, Yaoqiang Pan +4

Accurate collection of plant phenotyping is critical to optimising sustainable farming practices in precision agriculture. Traditional phenotyping in controlled laboratory environm…

cs.RO2024★ 1 cited

Pheno-Robot: An Auto-Digital Modelling System for In-Situ Phenotyping in the Field

Yaoqiang Pan, Kewei Hu, Tianhao Liu +2

Accurate reconstruction of plant models for phenotyping analysis is critical for optimising sustainable agricultural practices in precision agriculture. Traditional laboratory-base…

cs.CV2024

RadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale

Han Li, Yukai Ma, Yaqing Gu +3

We present a novel approach for metric dense depth estimation based on the fusion of a single-view image and a sparse, noisy Radar point cloud. The direct fusion of heterogeneous R…

cs.RO2023★ 2 cited

Developing Flying Explorer for Autonomous Digital Modelling in Wild Unknowns

Naizhong Zhang. Yaoqiang Pan, Yangwen Jin, Peiqi Jin +3

This work presents an innovative solution for robotic odometry, path planning and exploration in wild unknown environments, focusing on digital modelling. The approach uses a minim…

cs.CV2023★ 87 cited

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…