Lihui Wang at KTH Royal Institute of Technology - Research Interests, Publications & Academic Profile

Lihui Wang

KTH Royal Institute of Technology

Sweden

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Research Interests

Industrial Automation

100%

Human-robot Interaction

90%

Collaborative Robotics

60%

Industrial Application

60%

Manufacturing Engineering

60%

Mobile Robotics

40%

Cyber-physical System

30%

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Articles20

Editorial: Contributions to AI and machine learning for manufacturing

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Year:

2024

Mutual-cognition for proactive human–robot collaboration: A mixed reality-enabled visual reasoning-based method

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Year:

2024

Mutual Active Learning for Engineering Regulated Statistical Digital Twin Models

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2024

Industrial Metaverse for Smart Manufacturing: Model, Architecture, and Applications

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Year:

2024

IRS Assisted Federated Learning: A Broadband Over-the-Air Aggregation Approach

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Year:

2024

Multimodal Human–Robot Interaction for Human‐Centric Smart Manufacturing: A Survey

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Year:

2024

Smart manufacturing enabled by intelligent technologies

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2024

A vision-language-guided and deep reinforcement learning-enabled approach for unstructured human-robot collaborative manufacturing task fulfilment

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2024

Vision AI-based human-robot collaborative assembly driven by autonomous robots

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Year:

2024

Enabling industrial internet of things-based digital servitization in smart production logistics

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Year:

2023

Editorial notes: Industrial Internet-of-Things (IIoT)-enabled digital servitisation

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Year:

2023

Editorial of the Special Issue “Advanced Robotics Applications in Industry”

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Year:

2023

Self-organising multiple human–robot collaboration: A temporal subgraph reasoning-based method

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2023

Function block-enabled operation planning and machine control in Cloud-DPP

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Year:

2023

Measuring the effect of automatically authored video aid on assembly time for procedural knowledge transfer among operators in adaptive assembly stations

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Year:

2023

Internet of things (IoT) and big data analytics (BDA) for digital manufacturing (DM)

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2023

Surface roughness prediction framework for flank milling Ti6Al4V alloy based on CLBAS-BP algorithm

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Year:

2023

A collaborative intelligence-based approach for handling human-robot collaboration uncertainties

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Year:

2023

A Review of Manufacturing Big Data: Connotation, Methodology, Application and Trends

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Year:

2023

A digital twin-based sim-to-real transfer for deep reinforcement learning-enabled industrial robot grasping

Article Link

Year:

2022

Collaborators14

Qinglei Ji

KTH Royal Institute of Technology

SWEDEN

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Yongkuk Jeong

Assistant Professor

KTH Royal Institute of Technology

SWEDEN

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Dimitris MOURTZIS

Laboratory Director / Prof. Dr.

University of Patras

GREECE

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Magnus Wiktorsson

KTH Royal Institute of Technology

SWEDEN

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Ming Xiao

KTH Royal Institute of Technology

SWEDEN

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Xun Xu

Professor

University of Auckland

NEW ZEALAND

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M. Jamal Deen

McMaster University

CANADA

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Andrea de Giorgio

KTH Royal Institute of Technology

SWEDEN

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Robert Gao

Depatment Chair and Cady Staley Professor

Case Western Reserve University

UNITED STATES

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Erik Flores-García

Assistant Professor

Kungliga Tekniska Högskolan

SWEDEN

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Mohammad Givehchi

KTH Royal Institute of Technology

SWEDEN

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Bianca Maria Colosimo

professor

Politecnico di Milano

ITALY

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Wenjun Zhang

University of Saskatchewan

CANADA

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Xi Vincent Wang

KTH Royal Institute of Technology

SWEDEN

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