activity
20222026
most citedOnboard dynamic-object detection and tracking for autonomous robot navigation with RGB-D camera

63 citations · 191 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CE2026

Ortho2CAD: 3D CAD generation from orthographic drawings using vision language models

Aditya Joglekar, Amit Regmi, Kenji Shimada +1

Engineering design intent is often communicated through rasterized orthographic drawings. However, downstream workflows require editable and parametrically defined 3D computer-aide…

cs.RO2025

Adaptive Planning Framework for UAV-Based Surface Inspection in Partially Unknown Indoor Environments

Hanyu Jin, Zhefan Xu, Haoyu Shen +3

Inspecting indoor environments such as tunnels, industrial facilities, and construction sites is essential for infrastructure monitoring and maintenance. While manual inspection in…

cs.RO2025

LV-DOT: LiDAR-visual dynamic obstacle detection and tracking for autonomous robot navigation

Zhefan Xu, Haoyu Shen, Xinming Han +3

Accurate perception of dynamic obstacles is essential for autonomous robot navigation in indoor environments. Although sophisticated 3D object detection and tracking methods have b…

cs.RO2024★ 2 cited

NavRL: Learning Safe Flight in Dynamic Environments

Zhefan Xu, Xinming Han, Haoyu Shen +2

Safe flight in dynamic environments requires unmanned aerial vehicles (UAVs) to make effective decisions when navigating cluttered spaces with moving obstacles. Traditional approac…

cs.RO2024

Intent Prediction-Driven Model Predictive Control for UAV Planning and Navigation in Dynamic Environments

Zhefan Xu, Hanyu Jin, Xinming Han +2

Aerial robots can enhance construction site productivity by autonomously handling inspection and mapping tasks. However, ensuring safe navigation near human workers remains challen…

cs.RO2023

Heuristic-based Incremental Probabilistic Roadmap for Efficient UAV Exploration in Dynamic Environments

Zhefan Xu, Christopher Suzuki, Xiaoyang Zhan +1

Autonomous exploration in dynamic environments necessitates a planner that can proactively respond to changes and make efficient and safe decisions for robots. Although plenty of s…

cs.RO2023

Quadcopter Trajectory Time Minimization and Robust Collision Avoidance via Optimal Time Allocation

Zhefan Xu, Kenji Shimada

Autonomous navigation requires robots to generate trajectories for collision avoidance efficiently. Although plenty of previous works have proven successful in generating smooth an…

cs.RO2023★ 63 cited

Onboard dynamic-object detection and tracking for autonomous robot navigation with RGB-D camera

Zhefan Xu, Xiaoyang Zhan, Yumeng Xiu +2

Deploying autonomous robots in crowded indoor environments usually requires them to have accurate dynamic obstacle perception. Although plenty of previous works in the autonomous d…

cs.RO2023★ 36 cited

A vision-based autonomous UAV inspection framework for unknown tunnel construction sites with dynamic obstacles

Zhefan Xu, Baihan Chen, Xiaoyang Zhan +3

Tunnel construction using the drill-and-blast method requires the 3D measurement of the excavation front to evaluate underbreak locations. Considering the inspection and measuremen…

cs.CV2022★ 40 cited

Component Segmentation of Engineering Drawings Using Graph Convolutional Networks

Wentai Zhang, Joe Joseph, Yue Yin +5

We present a data-driven framework to automate the vectorization and machine interpretation of 2D engineering part drawings. In industrial settings, most manufacturing engineers st…

cs.RO2022★ 38 cited

A real-time dynamic obstacle tracking and mapping system for UAV navigation and collision avoidance with an RGB-D camera

Zhefan Xu, Xiaoyang Zhan, Baihan Chen +3

The real-time dynamic environment perception has become vital for autonomous robots in crowded spaces. Although the popular voxel-based mapping methods can efficiently represent 3D…

cs.RO2022★ 12 cited

Robotic Depowdering for Additive Manufacturing Via Pose Tracking

Zhenwei Liu, Junyi Geng, Xikai Dai +2

With the rapid development of powder-based additive manufacturing, depowdering, a process of removing unfused powder that covers 3D-printed parts, has become a major bottleneck to…