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Elsevier

Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing

  • 1st Edition - May 15, 2024
  • Latest edition
  • Authors: Shufei Li, Pai Zheng, Lihui Wang
  • Language: English

Proactive Human–Robot Collaboration Toward Human-Centric Smart Manufacturing is driven by an appreciation of manufacturing scenarios where human and robotic agents can understand… Read more

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Description

Proactive Human–Robot Collaboration Toward Human-Centric Smart Manufacturing is driven by an appreciation of manufacturing scenarios where human and robotic agents can understand each other’s actions and conduct mutual-cognitive, predictable, and self-organizing teamwork. Modern factories’ smart manufacturing transformation and the evolution of relationships between humans and robots in manufacturing tasks set the scene for a discussion on the technical fundamentals of state-of-the-art proactive human–robot collaboration; these are further elaborated into the three main steps (i.e., mutual-cognitive and empathic coworking; predictable spatio-temporal collaboration; self-organizing multiagent teamwork) to achieve an advanced form of symbiotic HRC with high-level, dynamic-reasoning teamwork skills. The authors then present a deployment roadmap and several case studies, providing step-by-step guidance for real-world application of these ground-breaking methods which crucially contribute to the maturing of human-centric, sustainable, and resilient production systems. The volume proves to be an invaluable resource that supports understanding and learning for users ranging from upper undergraduate/graduate students and academic researchers to engineering professionals in a variety of industry contexts.

Key features

  • Offers pioneering information on an Industry 5.0 topic that has attracted much research interest in recent years
  • Takes advantage of a structured and comprehensive approach to seamlessly combine theory, latest technological developments, and their practical applications
  • Includes actionable methods, while conceptualizing future implications for smart manufacturing

Readership

Post-doc researchers, academics, and graduate students in advanced or highly specialized qualification programs related to smart manufacturing, collaborative robotics, cognitive computing, human-robot interfaces, intelligent automation, artificial intelligence, autonomous systems engineering, and mechanical engineering. The volume can also be leveraged for a 3rd or 4th year undergraduate elective course.

Table of contents

1. Introduction

1.1 Transition toward human-centric intelligent manufacturing

1.2 Motivation and vision

2. Content organization Evolution of human-robot relationships

2.1 Human-robot co-existence

2.2 Human-robot interaction

2.3 Human-robot cooperation

2.4 Human-robot collaboration

2.5 Chapter summary

3. Fundamentals of proactive human-robot collaboration

3.1 Basic notions and connotation

3.2 Key characteristics

3.3 Technical aspects

4. Chapter summary Mutual-cognitive and empathic co-work

4.1 Connotation

4.2 A mixed-reality and visual reasoning-based framework

4.3 Case study

4.4 Chapter summary

5. Predictable spatio-temporal collaboration

5.1 Connotation

5.2 A multimodal human action prediction-based framework

5.3 Case study

6. Chapter summary Self-organizing multi-agent teamwork

6.1 Connotation

6.2 A temporal subgraph neural network-based framework

6.3 Case study

6.4 Chapter summary

7. Deployment roadmap of proactive human-robot collaboration

7.1 Perception level

7.2 Decision making

7.3 Trajectory planning

7.4 Control level

8. Chapter summary Operation modes of industrial proactive human-robot collaboration

8.1 Teleoperation

8.2 Physical human-robot interaction

8.3 Human-robot co-manipulation

8.4 Chapter summary

9. Case studies of proactive human-robot collaboration in manufacturing

9.1 Assembly of aviation cabins

9.2 Disassembly of aging electric vehicle batteries

10. Chapter summary Conclusions and future perspectives

10.1 Conclusions

10.2 Challenges

10.3 Future perspectives

Product details

  • Edition: 1
  • Latest edition
  • Published: May 20, 2024
  • Language: English

About the authors

SL

Shufei Li

Shufei Li is currently a Postdoctoral Fellow in the Department of Industrial and Systems Engineering at The Hong Kong Polytechnic University. His research interests are focused on smart manufacturing and intelligent robotics, including human–robot collaboration, embodied AI, and augmented reality. Dr. Li is a member of IEEE and serves as a reviewer for many high-impact, international journals in the manufacturing and industrial engineering field. He has published over ten SCIE-indexed journal articles, won an International Best Conference Paper Award, and multiple domestic Innovation and Entrepreneurship awards.
Affiliations and expertise
PhD candidate, Dept. of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR

PZ

Pai Zheng

Pai Zheng is currently an Assistant Professor and Wong Tit Shing Endowed Young Scholar in Smart Robotics in the Department of Industrial and Systems Engineering at The Hong Kong Polytechnic University. His research interests include smart product-service systems, human–robot collaboration, and industrial AI. Dr. Zheng is a senior member of IEEE and CMES, a member of ASME and HKIE, and a research affiliate of CIRP. He serves as the Associate Editor of the Journal of Intelligent Manufacturing and the Journal of Cleaner Production, and is an editorial board member of the Journal of Manufacturing Systems and Advanced Engineering Informatics.
Affiliations and expertise
Assistant Professor and Wong Tit Shing Endowed Young Scholar, Dept. of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR

LW

Lihui Wang

Lihui Wang is a Chair Professor at KTH Royal Institute of Technology, Sweden. His research interests are focused on cyber-physical systems, human–robot collaborations, and adaptive manufacturing systems. He is the Editor-inChief of the International Journal of Manufacturing Research, the Journal of Manufacturing Systems, and Robotics and Computer-Integrated Manufacturing. Prof. Wang is a Fellow of the Canadian Academy of Engineering, CIRP, SME, and ASME. He was the President of the North American Manufacturing Research Institution of SME and the Chairman of the Swedish Production Academy.
Affiliations and expertise
Chair Professor, Dept. of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden

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