activity
20172026
most citedA Survey of Data Fusion in Smart City Applications

278 citations · 651 across the 22 of their papers we have counts for

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10 papers · 1 filter

cs.RO2026

Distributed Relative Localization for Homogeneous Multi-Robot Systems through UWB Ranging and Limited Communications

Zhiqiang Cao, Ran Liu, Billy Pik Lik Lau +2

Accurate and reliable relative localization is crucial for multi-robot applications like exploration, search, and rescue missions. LiDAR-based solutions offer high accuracy in loca…

cs.RO2026

Distributed Relative Localization Based on Ultra-WideBand and LiDAR for Multi-robot with Limited Communication

Zhiqiang Cao, Ran Liu, Billy Pik Lik Lau +2

Relative localization is crucial for a multi-robot system to collaboratively perform tasks, such as exploration and formation. However, this is highly challenging for homogeneous r…

cs.RO2024★ 11 cited

Distributed multi-robot potential-field-based exploration with submap-based mapping and noise-augmented strategy

Khattiya Pongsirijinda, Zhiqiang Cao, Kaushik Bhowmik +5

Multi-robot collaboration has become a needed component in unknown environment exploration due to its ability to accomplish various challenging situations. Potential-field-based me…

cs.RO2023★ 1 cited

GMC-Pos: Graph-Based Multi-Robot Coverage Positioning Method

Khattiya Pongsirijinda, Zhiqiang Cao, Muhammad Shalihan +4

Nowadays, several real-world tasks require adequate environment coverage for maintaining communication between multiple robots, for example, target search tasks, environmental moni…

cs.RO2023

Moving Object Localization based on the Fusion of Ultra-WideBand and LiDAR with a Mobile Robot

Muhammad Shalihan, Zhiqiang Cao, Khattiya Pongsirijinda +5

Localization of objects is vital for robot-object interaction. Light Detection and Ranging (LiDAR) application in robotics is an emerging and widely used object localization techni…

cs.RO2023★ 24 cited

Exploiting Radio Fingerprints for Simultaneous Localization and Mapping

Ran Liu, Billy Pik Lik Lau, Khairuldanial Ismail +6

Simultaneous localization and mapping (SLAM) is paramount for unmanned systems to achieve self-localization and navigation. It is challenging to perform SLAM in large environments,…

cs.RO2022★ 42 cited

Multi-AGV's Temporal Memory-based RRT Exploration in Unknown Environment

Billy Pik Lik Lau, Brandon Jin Yang Ong, Leonard Kin Yung Loh +4

With the increasing need for multi-robot for exploring the unknown region in a challenging environment, efficient collaborative exploration strategies are needed for achieving such…

cs.RO2022

Distributed Ranging SLAM for Multiple Robots with Ultra-WideBand and Odometry Measurements

Ran Liu, Zhongyuan Deng, Zhiqiang Cao +6

To accomplish task efficiently in a multiple robots system, a problem that has to be addressed is Simultaneous Localization and Mapping (SLAM). LiDAR (Light Detection and Ranging)…

cs.RO2021

Collaborative Radio SLAM for Multiple Robots based on WiFi Fingerprint Similarity

Ran Liu, Zhenghong Qin, Hua Zhang +6

Simultaneous Localization and Mapping (SLAM) enables autonomous robots to navigate and execute their tasks through unknown environments. However, performing SLAM in large environme…

cs.RO2021

Cost-effective Mapping of Mobile Robot Based on the Fusion of UWB and Short-range 2D LiDAR

Ran Liu, Yongping He, Chau Yuen +4

Environment mapping is an essential prerequisite for mobile robots to perform different tasks such as navigation and mission planning. With the availability of low-cost 2D LiDARs,…