Cover Image

An Empirical Study on Embodied Artificial Intelligence Robot (EAIR) Software Bugs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liao, Zeqin, Zheng, Zibin, Reng, Peifan, Liang, Henglong, Gao, Zixu, Chen, Zhixiang, Li, Wei, Nan, Yuhong
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Augmenting Smart Contract Decompiler Output through Fine-grained Dependency Analysis and LLM-facilitated Semantic Recovery
by: Liao, Zeqin, et al.
Published: (2025)

Satellite: Detecting and Analyzing Smart Contract Vulnerabilities caused by Subcontract Misuse
by: Liao, Zeqin, et al.
Published: (2025)

SmartAxe: Detecting Cross-Chain Vulnerabilities in Bridge Smart Contracts via Fine-Grained Static Analysis
by: Liao, Zeqin, et al.
Published: (2024)

An Empirical Study of Interaction Bugs in ROS-based Software
by: Chen, Zhixiang, et al.
Published: (2025)

SmartState: Detecting State-Reverting Vulnerabilities in Smart Contracts via Fine-Grained State-Dependency Analysis
by: Liao, Zeqin, et al.
Published: (2024)

Characterizing Bugs in Login Processes of Android Applications: An Empirical Study
by: Zhou, Zixu, et al.
Published: (2025)

Is My RPC Response Reliable? Detecting RPC Bugs in Ethereum Blockchain Client under Context
by: Zhong, Zhijie, et al.
Published: (2026)

Bug Priority Change: An Empirical Study on Apache Projects
by: Li, Zengyang, et al.
Published: (2024)

Characterizing Bugs and Quality Attributes in Quantum Software: A Large-Scale Empirical Study
by: Yousuf, Mir Mohammad, et al.
Published: (2025)

ChainFuzzer: Greybox Fuzzing for Workflow-Level Multi-Tool Vulnerabilities in LLM Agents
by: Wu, Jiangrong, et al.
Published: (2026)

LLMs are Bug Replicators: An Empirical Study on LLMs' Capability in Completing Bug-prone Code
by: Guo, Liwei, et al.
Published: (2025)

An Empirical Study of ChatGPT-Related Projects and Their Issues on GitHub
by: Lin, Zheng, et al.
Published: (2024)

An Empirical Study of Refactoring Engine Bugs
by: Wang, Haibo, et al.
Published: (2024)

An Empirical Study on the Security Vulnerabilities of GPTs
by: Wu, Tong, et al.
Published: (2025)

Bug Priority Change Prediction: An Exploratory Study on Apache Software
by: Cai, Guangzong, et al.
Published: (2025)

Decompiling Rust: An Empirical Study of Compiler Optimizations and Reverse Engineering Challenges
by: Zhou, Zixu
Published: (2025)

What Makes Software Bugs Escape Testing? Evidence from a Large-Scale Empirical Study
by: Cotroneo, Domenico, et al.
Published: (2026)

AgentRaft: Automated Detection of Data Over-Exposure in LLM Agents
by: Lin, Yixi, et al.
Published: (2026)

An Empirical Study on the Characteristics of Database Access Bugs in Java Applications
by: Liu, Wei, et al.
Published: (2024)

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports
by: Chen, Zhiyuan, et al.
Published: (2025)

An Empirical Study of Bugs in Modern LLM Agent Frameworks
by: Zhu, Xinxue, et al.
Published: (2026)

Exploring the Jupyter Ecosystem: An Empirical Study of Bugs and Vulnerabilities
by: Jiang, Wenyuan, et al.
Published: (2025)

An Empirical Study on the Classification of Bug Reports with Machine Learning
by: Andrade, Renato, et al.
Published: (2025)

ParityFuzz: Finding Inconsistencies across Solidity Compilers via Fine-Grained Mutation and Differential Analysis
by: Su, Bowei, et al.
Published: (2026)

An Empirical Study on the Potential of LLMs in Automated Software Refactoring
by: Liu, Bo, et al.
Published: (2024)

From Bugs to Benchmarks: A Comprehensive Survey of Software Defect Datasets
by: Zhu, Hao-Nan, et al.
Published: (2025)

An Empirical Study on LLM-based Agents for Automated Bug Fixing
by: Meng, Xiangxin, et al.
Published: (2024)

Understanding Bug-Reproducing Tests: A First Empirical Study
by: Hora, Andre, et al.
Published: (2026)

An Empirical Study on Leveraging Images in Automated Bug Report Reproduction
by: Wang, Dingbang, et al.
Published: (2025)

SmartReco: Detecting Read-Only Reentrancy via Fine-Grained Cross-DApp Analysis
by: Zhang, Jingwen, et al.
Published: (2024)

CONNECTOR: Enhancing the Traceability of Decentralized Bridge Applications via Automatic Cross-chain Transaction Association
by: Lin, Dan, et al.
Published: (2024)

From Logic to Toolchains: An Empirical Study of Bugs in the TypeScript Ecosystem
by: Tang, TianYi, et al.
Published: (2026)

Does Programming Language Matter? An Empirical Study of Fuzzing Bug Detection
by: Shirai, Tatsuya, et al.
Published: (2026)

Understanding Bugs in Quantum Simulators: An Empirical Study
by: Upadhyay, Krishna, et al.
Published: (2026)

V2E: Validating Smart Contract Vulnerabilities through Profit-driven Exploit Generation and Execution
by: Zhang, Jingwen, et al.
Published: (2026)

Dissecting Bug Triggers and Failure Modes in Modern Agentic Frameworks: An Empirical Study
by: Zhang, Xiaowen, et al.
Published: (2026)

Code Comments for Quantum Software Development Kits: An Empirical Study on Qiskit
by: Zhou, Zenghui, et al.
Published: (2025)

Black-Box Bug-Amplification for Multithreaded Software
by: Weiss, Yeshayahu, et al.
Published: (2025)

Reducing False Positives in Static Bug Detection with LLMs: An Empirical Study in Industry
by: Du, Xueying, et al.
Published: (2026)

iJTyper: An Iterative Type Inference Framework for Java by Integrating Constraint- and Statistically-based Methods
by: Chen, Zhixiang, et al.
Published: (2024)