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20162025
most citedTowards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots

78 citations · 147 across the 28 of their papers we have counts for

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14 papers · 1 filter

cs.RO2025

Semantic-LiDAR-Inertial-Wheel Odometry Fusion for Robust Localization in Large-Scale Dynamic Environments

Haoxuan Jiang, Peicong Qian, Yusen Xie +4

Reliable, drift-free global localization presents significant challenges yet remains crucial for autonomous navigation in large-scale dynamic environments. In this paper, we introd…

cs.RO202423 cited

Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments

Jianhao Jiao, Ruoyu Geng, Yuanhang Li +7

The creation of a metric-semantic map, which encodes human-prior knowledge, represents a high-level abstraction of environments. However, constructing such a map poses challenges r…

cs.RO2024

DHP-Mapping: A Dense Panoptic Mapping System with Hierarchical World Representation and Label Optimization Techniques

Tianshuai Hu, Jianhao Jiao, Yucheng Xu +3

Maps provide robots with crucial environmental knowledge, thereby enabling them to perform interactive tasks effectively. Easily accessing accurate abstract-to-detailed geometric a…

cs.RO2024

RELEAD: Resilient Localization with Enhanced LiDAR Odometry in Adverse Environments

Zhiqiang Chen, Hongbo Chen, Yuhua Qi +5

LiDAR-based localization is valuable for applications like mining surveys and underground facility maintenance. However, existing methods can struggle when dealing with uninformati…

cs.RO2024

Efficient Global Navigational Planning in 3D Structures based on Point Cloud Tomography

Bowen Yang, Jie Cheng, Bohuan Xue +2

Navigation in complex 3D scenarios requires appropriate environment representation for efficient scene understanding and trajectory generation. We propose a highly efficient and ex…

cs.RO2024

CoLRIO: LiDAR-Ranging-Inertial Centralized State Estimation for Robotic Swarms

Shipeng Zhong, Hongbo Chen, Yuhua Qi +5

Collaborative state estimation using different heterogeneous sensors is a fundamental prerequisite for robotic swarms operating in GPS-denied environments, posing a significant res…