New
Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing,
Edition 1
By Shufei Li, Pai Zheng and Lihui Wang

Publication Date: 01 Jun 2024
Awaiting publication
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
About the author
By Shufei Li, PhD candidate, Dept. of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR; Pai Zheng, 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 and Lihui Wang, Chair Professor, Unit of Sustainable Production Systems, KTH Royal Institute of Technology, Stockholm, Sweden
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

Book details
ISBN: 9780443139437
Page Count: 300
Retail Price : £155.00
Audience

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.