
Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing
- 1st Edition - May 15, 2024
- Imprint: Elsevier
- Authors: Shufei Li, Pai Zheng, Lihui Wang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 9 4 3 - 7
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 9 4 4 - 4
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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Request a sales quoteProactive 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.
- 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
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.
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
- Edition: 1
- Published: May 15, 2024
- No. of pages (Paperback): 314
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780443139437
- eBook ISBN: 9780443139444
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Shufei Li
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Pai Zheng
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