The perception loop in CiceRobot, a museum guide robot

Innovative Design of a Cloud Tour Guide Robot for Smart Cities under the Principle of System Innovation Design

In light of the ongoing occurrence of epidemics, the general populace frequently makes the decision to curtail their nomadic lifestyle in order to protect both their health and their safety. This has resulted in a number of issues, the most notable of which are the drop in the people's living happiness index and the poor business that the tourism industry has been experiencing as a result. Therefore, the idea of “cloud tourism” is undoubtedly the first candidate for the tourism industry, and in order to meet the requirements of cloud tourism, it is necessary to have an entirely new system to serve this, of which the scenic guide robot is an important part. At the same time, the quickening development of 5G technology offers solutions that may be put into practice for the multifurther IoT's expansion in smart cities. People will be able to experience the real outdoors without having to leave their homes, which will improve the people's well-being and alleviate the chilly status quo in the tourism industry. This is the plan, and it will be accomplished through the use of innovative guide robots that will make the experience more convenient and reliable.

An Ethnomethodological Study of a Museum Guide Robot’s Attempt at Engagement and Disengagement

We conducted a study of a museum guide robot’s attempt at engaging and disengaging the audience at predetermined points in time during a guided tour. We used “ethnomethodology” as a tool for our study and analysis. In this paper, we describe how we developed, tested, and analyzed a museum guide robot system that borrows cues from social scientists to manage an audience. We have described how we began our study, the previous studies that we referred to, the initial attempts to test our concept, the development of the system, the real-world experiments, and the analysis of the data that we collected. We have described the tools of engagement and disengagement that the robot has used and presented the results of our statistical analysis of the experimental data. Most prominently, we found that a verbal gesture called “summative assessment” and a nonverbal gesture called the “lean-back” gesture are very effective as tools of disengagement. These tools help a robot guide to manage the audience in the same way as a human guide. Moreover, we found that a combination of the aforementioned two gestures is more effective than employing them separately.

Determination of An Optimal Return-Path on Road Attributes for Mobile Robot Recharging

Optimal path-planning for mobile robot recharging is a very vital requirement in real applications. This paper proposes a strategy of determining an optimal return-path in consideration of road attributes which include length, surface roughness, road grade and the setting of speed-control hump. The road in the environment is partitioned into multiple segments, and for each one, a model of cost that the robot will pay for is established under the constraints of the attributes. The cost consists of energy consumption and the influence of vibration on mobile robot that is induced by motion. The return-path is constituted by multiple segments and its cost is defined to be the sum of the cost of each segment. The idle time, deduced from the cost, is firstly used as the decision factor for determining the optimal return-path. Finally, the simulation is given and the results prove the effectiveness and superiority of the strategy.