Multi-agent Architecture Model for Driving Mobile Manipulator Robots

In this article, we present generic hierarchical behavior-based architecture model for driving mobile manipulator robots. Two behaviors are of high-level. They constitute the Supervisory agent, which manages the global system. Two others are of intermediate-level and finally one behavior is of low-level. These last ones constitute the Mobile Robot agent and the Manipulator Robot agent controlling, respectively, the mobile base and the manipulator arm. The choice of the suggested model is justified by the generic character of the proposed agent model and by the possibility of integrating the whole in a distributed robotic system. The model is formalized in Agent UML from the conceptual level to the implementation level. The interaction between the various agents is modeled by the use of the interaction diagrams of Agent UML (states and protocol diagrams)

Multi-agent Architecture Model for Driving Mobile Manipulator Robots

In this article, we present generic hierarchical behavior-based architecture model for driving mobile manipulator robots. Two behaviors are of high-level. They constitute the Supervisory agent, which manages the global system. Two others are of intermediate-level and finally one behavior is of low-level. These last ones constitute the Mobile Robot agent and the Manipulator Robot agent controlling, respectively, the mobile base and the manipulator arm. The choice of the suggested model is justified by the generic character of the proposed agent model and by the possibility of integrating the whole in a distributed robotic system. The model is formalized in Agent UML from the conceptual level to the implementation level. The interaction between the various agents is modeled by the use of the interaction diagrams of Agent UML (states and protocol diagrams)

3D Origami Sensing Robots for Cooperative Healthcare Monitoring

In this study, cooperative healthcare sensing robots that closely monitor and evaluate the patients’ muscle functions through gait analysis and electromyography (EMG) are developed. By integrating the biological sensors, the sensing robot can recognize the vital signs. The sensing robots are developed by the design and optimization of their architectures and materials using a green strategy. To achieve mechanically durable robot designs, 3D origami structures are used with specific optimum criteria. Different sensing robot applications are created through the 3D origami insole and humanoid hands for healthcare monitoring. The smart insole built with 3D origami monitors the foot pressure distribution for gait analysis of patients, and the humanoid hand equipped with the 3D origami‐structured EMG fingers cooperatively detects EMG signals. Such cooperative sensing robots hold considerable promise for healthcare monitoring with convenience for patients with quality of care, because the robots can derive empathetic adaptability with humans