45 citations · 82 across the 19 of their papers we have counts for
19 papers
A Generalized Voronoi Graph based Coverage Control Approach for Non-Convex Environment
Zuyi Guo, Ronghao Zheng, Meiqin Liu +1
To address the challenge of efficient coverage by multi-robot systems in non-convex regions with multiple obstacles, this paper proposes a coverage control method based on the Gene…
Distributed Articulation Point Identification in Time-Varying Undirected Networks
Xinye Xie, Ronghao Zheng, Senlin Zhang +1
Identifying articulation points (APs) is fundamental to assessing the robustness of time-varying networks. In such dynamic environments, topological changes including edge addition…
Balanced Collaborative Exploration via Distributed Topological Graph Voronoi Partition
Tianyi Ding, Ronghao Zheng, Senlin Zhang +1
This work addresses the collaborative multi-robot autonomous online exploration problem, particularly focusing on distributed exploration planning for dynamically balanced explorat…
GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning
Zifeng Shi, Meiqin Liu, Senlin Zhang +3
In recent years, Model-based Multi-Agent Reinforcement Learning (MARL) has demonstrated significant advantages over model-free methods in terms of sample efficiency by using indepe…
RMIO: A Model-Based MARL Framework for Scenarios with Observation Loss in Some Agents
Zifeng Shi, Meiqin Liu, Senlin Zhang +2
In recent years, model-based reinforcement learning (MBRL) has emerged as a solution to address sample complexity in multi-agent reinforcement learning (MARL) by modeling agent-env…
Relation DETR: Exploring Explicit Position Relation Prior for Object Detection
Xiuquan Hou, Meiqin Liu, Senlin Zhang +3
This paper presents a general scheme for enhancing the convergence and performance of DETR (DEtection TRansformer). We investigate the slow convergence problem in transformers from…
Cooperative Reward Shaping for Multi-Agent Pathfinding
Zhenyu Song, Ronghao Zheng, Senlin Zhang +1
The primary objective of Multi-Agent Pathfinding (MAPF) is to plan efficient and conflict-free paths for all agents. Traditional multi-agent path planning algorithms struggle to ac…
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
Xiuquan Hou, Meiqin Liu, Senlin Zhang +2
DETR-like methods have significantly increased detection performance in an end-to-end manner. The mainstream two-stage frameworks of them perform dense self-attention and select a…
Five-Tiered Route Planner for Multi-AUV Accessing Fixed Nodes in Uncertain Ocean Environments
Jiaxin Zhang, Meiqin Liu, Senlin Zhang +2
This article introduces a five-tiered route planner for accessing multiple nodes with multiple autonomous underwater vehicles (AUVs) that enables efficient task completion in stoch…
CARE: Confidence-rich Autonomous Robot Exploration using Bayesian Kernel Inference and Optimization
Yang Xu, Ronghao Zheng, Senlin Zhang +2
In this paper, we consider improving the efficiency of information-based autonomous robot exploration in unknown and complex environments. We first utilize Gaussian process (GP) re…
Resource-Efficient Cooperative Online Scalar Field Mapping via Distributed Sparse Gaussian Process Regression
Tianyi Ding, Ronghao Zheng, Senlin Zhang +1
Cooperative online scalar field mapping is an important task for multi-robot systems. Gaussian process regression is widely used to construct a map that represents spatial informat…
Distributed Target Tracking with Fading Channels over Underwater Wireless Sensor Networks
Miaoyi Tang, Meiqin Liu, Senlin Zhang +2
This paper investigates the problem of distributed target tracking via underwater wireless sensor networks (UWSNs) with fading channels. The degradation of signal quality due to wi…
Physics-informed Neural Network Combined with Characteristic-Based Split for Solving Navier-Stokes Equations
Shuang Hu, Meiqin Liu, Senlin Zhang +2
In this paper, physics-informed neural network (PINN) based on characteristic-based split (CBS) is proposed, which can be used to solve the time-dependent Navier-Stokes equations (…
Bayesian Generalized Kernel Inference for Exploration of Autonomous Robots
Yang Xu, Ronghao Zheng, Senlin Zhang +1
This paper concerns realizing highly efficient information-theoretic robot exploration with desired performance in complex scenes. We build a continuous lightweight inference model…
Confidence-rich Localization and Mapping based on Particle Filter for Robotic Exploration
Yang Xu, Ronghao Zheng, Senlin Zhang +1
This paper mainly studies the localization and mapping of range sensing robots in the confidence-rich map (CRM) and then extends it to provide a full state estimate for information…
Hierarchical Multi-robot Strategies Synthesis and Optimization under Individual and Collaborative Temporal Logic Specifications
Ruofei Bai, Ronghao Zheng, Yang Xu +2
This paper presents a hierarchical framework to solve the multi-robot temporal task planning problem. We assume that each robot has its individual task specification and the robots…
Multi-Robot Task Planning under Individual and Collaborative Temporal Logic Specifications
Ruofei Bai, Ronghao Zheng, Meiqin Liu +1
This paper investigates the task coordination of multi-robot where each robot has a private individual temporal logic task specification; and also has to jointly satisfy a globally…
Integer-Programming-Based Narrow-Passage Multi-Robot Path Planning with Effective Heuristics
Jiaxi Huo, Ronghao Zheng, Meiqin Liu +1
We study optimal Multi-robot Path Planning (MPP) on graphs, in order to improve the efficiency of multi-robot system (MRS) in the warehouse-like environment. We propose a novel alg…
Robust Inertial-aided Underwater Localization based on Imaging Sonar Keyframes
Yang Xu, Ronghao Zheng, Senlin Zhang +1
This article focuses on feature-based underwater localization and navigation for autonomous underwater vehicles (AUVs) using 2D imaging sonar measurements. The sparsity of underwat…