scholarly journals Cyber Physical System Considering Physical Contacts in Robotic Manipulation for Improving Automation in Food Industry

Author(s):  
Zhongkui Wang ◽  
◽  
Masao Shimizu ◽  
Sadao Kawamura

Population aging in Japan is exacerbating the labor shortage problem in food industry, agriculture, and other labor-intensive industries. Recently, automation and IoT technologies become highly demanded in such industries for improving productivity and labor-saving. This article reviews the challenges of introducing automation in food industry and proposes a cyber physical system framework for applications in food industry. For facilitating the application of IoT technologies, we propose a module integrated with multiple sensors for monitoring the environment and the robotic system conditions. Further, a network platform is proposed to connect the physical space (robotic system) and the cyber space (cloud). Two examples of robotic systems for automatic tempura plating and presentation and chopped green onion topping are presented to demonstrate the capabilities of applying such technologies in food industry.

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1945
Author(s):  
Hsu-Chih Huang ◽  
Jing-Jun Xu

This paper contributes to the development of evolutionary machine learning (EML) for optimal polar-space fuzzy control of cyber-physical Mecanum vehicles using the flower pollination algorithm (FPA). The metaheuristic FPA is utilized to design optimal fuzzy systems, called FPA-fuzzy. In this hybrid computation, both the fuzzy structure and the number of IF–THEN rules are optimized through the FPA evolutionary process. This approach overcomes the drawback of the structure tuning problem in conventional fuzzy systems. After deriving the polar-space kinematics model of Mecanum vehicles, an optimal EML FPA-fuzzy online control scheme is synthesized, and the global stability is proven via Lyapunov theory. An embedded cyber-physical robotic system is then constructed using the typical 5C strategy. The proposed FPA-fuzzy computation collaborates with the advanced sensors and actuators of Mecanum vehicles to design a cyber-physical robotic system. Compared with conventional Cartesian-space control methods, the proposed EML FPA-fuzzy has the advantages of metaheuristics, fuzzy online control, and cyber-physical system design in polar coordinates. Finally, the mechatronic design and experimental setup of a Mecanum vehicle cyber-physical system is constructed. Through experimental results and comparative works, the effectiveness and merit of the proposed methods are validated. The proposed EML FPA-fuzzy control approach has theoretical and practice significance in terms of its real-time capability, online parameter tuning, convergent behavior, and hybrid artificial intelligence.


Author(s):  
Firoz Khan ◽  
R. Lakshmana Kumar ◽  
Seifedine Kadry ◽  
Yunyoung Nam ◽  
Maytham N. Meqdad

<span>Cyber-physical system (CPS) is a terminology used to describe multiple systems of existing infrastructure and manufacturing system that combines computing technologies (cyber space) into the physical space to integrate human interaction. This paper does a literature review of the work related to CPS in terms of its importance in today’s world. Further, this paper also looks at the importance of CPS and its relationship with internet of things (IoT). CPS is a very broad area and is used in variety of fields and some of these major fields are evaluated. Additionally, the implementation of CPS and IoT is major enabler for smart cities and various examples of such implementation in the context of Dubai and UAE are researched. Finally, security issues related to CPS in general are also reviewed.</span>


Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5319
Author(s):  
Dao Yin ◽  
Xinguo Ming ◽  
Xianyu Zhang

The trend towards socialization, personalization and servitization in smart manufacturing has attracted the attention of researchers, practitioners and governments. Social manufacturing is a novel manufacturing paradigm responding to this trend. However, the current cyber–physical system (CPS) merges only cyber and physical space; social space is missing. A cyber–physical–social system (CPSS)-based smart manufacturing is in demand, which incorporates cyber space, physical space and social space. With the development of the Internet of Things and social networks, a large volume of data is generated. A data-driven view is necessary to link tri-space. However, there is a lack of systematical investigation on the integration of CPSS and the data-driven view in the context of social manufacturing. This article proposes a seven-layered framework for a data-driven CPSS (D-CPSS) along the data–information–knowledge–wisdom (DIKW) pyramid under a social manufacturing environment. The evolution, components, general model and framework of D-CPSS are illustrated. An illustrative example is provided to explain the proposed framework. Detailed discussion and future perspectives on implementation are also presented.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3767 ◽  
Author(s):  
Seul-Gi Choi ◽  
Sung-Bae Cho

The cyber-physical system (CPS) is a next-generation smart system that combines computing with physical space. It has been applied in various fields because the uncertainty of the physical world can be ideally controlled using cyber technology. In terms of environmental control, studies have been conducted to enhance the effectiveness of the service by inducing ideal emotions in the service space. This paper proposes a CPS control system for inducing emotion based on multiple sensors. The CPS can expand the constrained environmental sensors of the physical space variously by combining the virtual space with the physical space. The cyber space is constructed in a Unity 3D space that can be experienced through virtual reality devices. We collect the temperature, humidity, dust concentration, and current emotion in the physical space as an environmental control elements, and the control illumination, color temperature, video, sound and volume in the cyber space. The proposed system consists of an emotion prediction module using modular Bayesian networks and an optimal stimulus decision module for deriving the predicted emotion to the target emotion based on utility theory and reinforcement learning. To verify the system, the performance is evaluated using the data collected from real situations.


Author(s):  
Marvin H. Cheng ◽  
Po-Lin Huang ◽  
Hao-Chuan Chu ◽  
Li-Han Peng ◽  
Ezzat Bakhoum

In this paper, we propose to design, develop, and study a cyber-physical system that enables patients and therapists to virtually interact for rehabilitation activities with assistive robotic devices. The targeted users of this system are post-stroke patients. On the patient’s side, an assistive robotic device can generate the force that the therapist applies to the patient. On the therapist’s side, another robotic device can reproduce the responsive force generated by the patient. With this system, the interaction can be virtually established. In addition, by integrating real human trajectories, the proposed assistive robotic system can help patients to perform rehabilitation activities in their own pace. Such an assistive robotic system and virtual interacting scheme can minimize both patient’s and therapist’s traveling time. The assistive functions of this light weight design can also help patients to in their ADLs.


Author(s):  
Wei Liu ◽  
Mao Lin ◽  
Chun Yan

With the advent of Internet of things and cyber physical system, sensor networks become more and more important. To better accomplish a task, multiple sensors or even multiple sensor networks need to interoperate. Logical workflow nets and cooperative logical workflow nets are introduced to formally model and analyze interoperability of sensor networks. Independent feasibility and Interoperable feasibility are important properties for ensuring correct execution and interoperability of sensor networks. Complete path nets, possible path nets, cooperative complete path nets and cooperative possible path nets are presented to decide independent feasibility and interoperable feasibility of logical workflow nets and cooperative logical workflow nets denoting interoperability of sensor networks.


Author(s):  
Vo Que Son ◽  
Do Tan A

Sensing, distributed computation and wireless communication are the essential building components of a Cyber-Physical System (CPS). Having many advantages such as mobility, low power, multi-hop routing, low latency, self-administration, utonomous data acquisition, and fault tolerance, Wireless Sensor Networks (WSNs) have gone beyond the scope of monitoring the environment and can be a way to support CPS. This paper presents the design, deployment, and empirical study of an eHealth system, which can remotely monitor vital signs from patients such as body temperature, blood pressure, SPO2, and heart rate. The primary contribution of this paper is the measurements of the proposed eHealth device that assesses the feasibility of WSNs for patient monitoring in hospitals in two aspects of communication and clinical sensing. Moreover, both simulation and experiment are used to investigate the performance of the design in many aspects such as networking reliability, sensing reliability, or end-to-end delay. The results show that the network achieved high reliability - nearly 97% while the sensing reliability of the vital signs can be obtained at approximately 98%. This indicates the feasibility and promise of using WSNs for continuous patient monitoring and clinical worsening detection in general hospital units.


Sign in / Sign up

Export Citation Format

Share Document