5 citations · 8 across the 9 of their papers we have counts for
8 papers · 1 filter
Reducing Temporal Redundancy for Efficient Vision-Language-Action Inference
Yuzhou Wu, Yuxin Zheng, Muchun Niu +6
Vision-Language-Action (VLA) models exhibit strong generalization for robotic manipulation, yet their high inference latency limits real time deployment. We identify two primary so…
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…
OMNI-PoseX: A Fast Vision Model for 6D Object Pose Estimation in Embodied Tasks
Michael Zhang, Wei Ying, Fangwen Chen +2
Accurate 6D object pose estimation is a fundamental capability for embodied agents, yet remains highly challenging in open-world environments. Many existing methods often rely on c…
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…
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…
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…
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…
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…