activity
20222026
most citedDRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles

152 citations · 157 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

BIM-Loc: BIM-Integrated Discrepancy-Aware LiDAR-based Indoor Localization

Yinqiang Zhang, Liang Lu, Yipeng Pan +5

Accurate and robust localization is a fundamental requirement for service and inspection robots, particularly in feature-sparse indoor environments where traditional systems strugg…

cs.RO2024

Semantic2D: Enabling Semantic Scene Understanding with 2D Lidar Alone

Zhanteng Xie, Yipeng Pan, Yinqiang Zhang +2

This article presents a complete semantic scene understanding workflow using only a single 2D lidar. This fills the gap in 2D lidar semantic segmentation, thereby enabling the reth…

cs.RO2024★ 2 cited

SCOPE: Stochastic Cartographic Occupancy Prediction Engine for Uncertainty-Aware Dynamic Navigation

Zhanteng Xie, Philip Dames

This article presents a family of Stochastic Cartographic Occupancy Prediction Engines (SCOPEs) that enable mobile robots to predict the future states of complex dynamic environmen…

cs.RO2024★ 1 cited

Towards Predicting Collective Performance in Multi-Robot Teams

Pujie Xin, Zhanteng Xie, Philip Dames

The increased deployment of multi-robot systems (MRS) in various fields has led to the need for analysis of system-level performance. However, creating consistent metrics for MRS i…

cs.RO2023★ 152 cited

DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles

Zhanteng Xie, Philip Dames

This paper proposes a novel learning-based control policy with strong generalizability to new environments that enables a mobile robot to navigate autonomously through spaces fille…

cs.RO2022★ 1 cited

Stochastic Occupancy Grid Map Prediction in Dynamic Scenes

Zhanteng Xie, Philip Dames

This paper presents two variations of a novel stochastic prediction algorithm that enables mobile robots to accurately and robustly predict the future state of complex dynamic scen…

cs.RO2022★ 1 cited

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022

Xuesu Xiao, Zifan Xu, Zizhao Wang +14

The BARN (Benchmark Autonomous Robot Navigation) Challenge took place at the 2022 IEEE International Conference on Robotics and Automation (ICRA 2022) in Philadelphia, PA. The aim…