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Hameed, A.;  Ordys, A.;  Możaryn, J.;  Sibilska-Mroziewicz, A. Control System Design for Collaborative Robots. Encyclopedia. Available online: https://encyclopedia.pub/entry/40561 (accessed on 16 June 2024).
Hameed A,  Ordys A,  Możaryn J,  Sibilska-Mroziewicz A. Control System Design for Collaborative Robots. Encyclopedia. Available at: https://encyclopedia.pub/entry/40561. Accessed June 16, 2024.
Hameed, Ayesha, Andrzej Ordys, Jakub Możaryn, Anna Sibilska-Mroziewicz. "Control System Design for Collaborative Robots" Encyclopedia, https://encyclopedia.pub/entry/40561 (accessed June 16, 2024).
Hameed, A.,  Ordys, A.,  Możaryn, J., & Sibilska-Mroziewicz, A. (2023, January 30). Control System Design for Collaborative Robots. In Encyclopedia. https://encyclopedia.pub/entry/40561
Hameed, Ayesha, et al. "Control System Design for Collaborative Robots." Encyclopedia. Web. 30 January, 2023.
Control System Design for Collaborative Robots
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Human–robot collaboration is an innovative area aiming to construct an environment for safe and efficient collaboration between humans and robots to accomplish a specific task. Collaborative robots cooperate with humans to assist them in undertaking simple-to-complex tasks in several fields, including industry, education, agriculture, healthcare services, security, and space exploration. These robots play a vital role in the revolution of Industry 4.0, which defines new standards of manufacturing and the organization of products in the industry. Incorporating collaborative robots in the workspace improves efficiency, but it also introduces several safety risks.

collaborative control robots architectures

1. Human–Robot Collaboration

1.1. Human–Robot Interaction

The human–robot interactions are divided into three subcategories: (i) Human–robot co-existence; (ii) Human–robot cooperation; and (iii) Human–robot collaboration. This classification is based on four criteria: (i) workspace; (ii) working time; (iii) working aim or task; and (iv) the existence of contact (contactless or with-contact).
The workspace can be described as a working area surrounding humans and robots wherein they can perform their tasks individually, as shown in Figure 1. The time during which a human is working in the collaborative workspace is known as the working time. Humans and robots interact in a workspace to achieve a common goal or distinct goals. Therefore, if the workspace is shared between the two entities along with simultaneous action, this interaction is known as human–robot (HR) coexistence [1]. HR cooperation implies an interaction when they work simultaneously towards the same aim in a shared workspace. However, HR collaboration covers scenarios in which there is direct contact between humans and robots to accomplish the shared aim or goal. Examples of these interactions are classical industrial robots, cooperative robots, and collaborative robots, respectively.
Figure 1. Classification of human–robot interactions.
It is important to consider that the term HR collaboration is ambiguous in its definitions [2][3]. In Figure 1, HR collaboration is shown as the final category of HR interaction that describes a human and robot executing the same task together, wherein the action of the one has an immediate impact on the other.

1.2. Human–Robot Collaboration Types

Human–robot collaboration is the advanced property of robots that allows them to execute a challenging task involving human interaction in two ways: (i) physical collaboration; and (ii) contactless collaboration [2]. Physical collaboration entails direct physical contact of the force of the human hand exerted on the robot’s end-effector. These forces/torques assist or predict the robotic motion accordingly [4]. However, contactless collaboration does not involve physical interaction. This collaboration is carried out through direct (speech or gestures) or indirect (eye gaze direction, intentions recognition, or facial expressions) communication [3]. In these types of collaboration scenarios, human operator cognitive skills and decision-making abilities are combined with the robotic attributes of repetitively and more precisely performing the job with human involvement.
Contactless collaboration faces several issues, e.g., communication channel delay, input actuator saturation, bounded input and output, and data transmission delay in bilateral teleoperation systems. Therefore, various controller methods have been reported in the literature to deal with these issues, such as output feedback control [5], fuzzy control [6], adaptive robust control [7], model predictive control [8], and sliding mode control [9][10]. However, this survey focuses on the critical issues observed by collaborative robots during physical HR collaboration. The key challenging issue in this regard includes the prediction of human intentions, motion synchronization due to human-caused disturbances, and human safety for efficient physical HR interaction. The following section introduces the different robotic operations of a collaborative robot during HR collaboration.

1.3. Collaborative Robotic Operations

Norm ISO/TS15066 describes four operative modes for collaborative robots to ensure human safety: (1) power- and force-limiting; (2) speed and separation monitoring; (3) a safety-rated monitored stop; and (4) hand-guiding [11][12]. In these operating modes, collaborative robots work in collaboration with a human operator depending on the application. Table 1 presents the four working modes of collaborative operations on the basis of features, monitoring speed, torque-sensing, operator control, and a workspace limit for safe HR collaboration.

References

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