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Jinhua Xiao

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Assistant Professor

Politecnico di Torino

Italy

Research Interests

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Professors in Italy

About

Dr. Jinhua Xiao is an Assistant Professor at Politecnico di Milano, Italy. His research areas encompass human-robot collaboration, particularly in the context of disassembly for electric vehicle battery recycling and mechanical performance prediction in additive manufacturing. His recent work includes contributions to task allocation using Q-learning, knowledge reasoning with graph attention mechanisms, and the development of intelligent disassembly systems on digital twin platforms.

Recent Grants

Grant: Open

Data and knowledge-driven process parameter optimization and performance prediction for metal additive manufacturing

Open Date: 2024-01-01

Close Date: 2026-12-01

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Collaborators (7)

Keqin Wang

Professor

Northwestern Polytechnical University

CHINA

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Monica Rossi

Associate Professor

Politecnico di Milano

ITALY

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Yicha Zhang

Full professor

Université Polytechnique Hauts-de-France

FRANCE

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Wei Wang

Senior Lecturer

Högskolan i Skövde

SWEDEN

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Benoit Eynard

Enseignant Chercheur

Université de Technologie de Compiègne

FRANCE

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Sergio Terzi

Associate Professor

Politecnico di Milano

ITALY

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Satoru Goto

Associate professor

Ritsumeikan University

JAPAN

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Jinhua Xiao

Research Interests

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About

Recent Grants

Articles (20)

A theoretical and hierarchical framework of technologies, skills, and circularity towards industry 5.0

RDE-Net: An RGB-Depth-EMG fusion network for real-time fine-grained action recognition in human-robot collaborative assembly

Knowledge graph-driven process reasoning of human-robot collaborative disassembly strategy for end-of-life products

Large language models in human-robot collaboration: A systematic review, trends, and challenges

A novel interpretable physics-informed adaptive algorithm unrolling network for rolling bearings fault diagnosis

Dynamic task allocations with Q-learning based particle swarm optimization for human-robot collaboration disassembly of electric vehicle battery recycling

Graph attention-based knowledge reasoning for mechanical performance prediction of L-PBF printing parts

Towards uncertainty of End-of-Use product recycling: a general screw connection-oriented disassembly analysis

Online Review-Assisted Product Improvement Attribute Extraction and Prioritization Method for Small- and Medium-Sized Enterprises

Semantic map construction approach for human-robot collaborative manufacturing

Intelligent disassembly system for end-of-life product using human robot collaboration on a digital twin platform

Large language model-guided graph convolution network reasoning system for complex human-robot collaboration disassembly operations

Intelligent disassembly scenario understanding for human behavior and intention recognition towards self-perception human-robot collaboration system

Multi-scenario digital twin-driven human-robot collaboration multi-task disassembly process planning based on dynamic time petri-net and heterogeneous multi-agent double deep Q-learning network

A sustainable echelon re-utilization and recycling for dynamic end-of-life electric vehicle battery packs

Knowledge-based approach for resolving constraint conflicts in collaborative engineering design

CONTEXT EXTRACTION AND EXPRESSION OF PRODUCT IMPROVEMENT FEATURES BASED ON ONLINE REVIEW MINING

Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery

Knowledge graph network-driven process reasoning for laser metal additive manufacturing based on relation mining

Information exchange and knowledge discovery for additive manufacturing digital thread: a comprehensive literature review

Collaborators (7)

Keqin Wang

Monica Rossi

Yicha Zhang

Wei Wang

Benoit Eynard

Sergio Terzi

Satoru Goto

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