Robot Communication Research Articles

Adaptive Multi-Robot Communication System and Collision Avoidance Algorithm for Precision Agriculture

In precision farming technology, the interest of the researchers has been focused on the applications of autonomous mobile robots for agricultural operations such as planting, inspection, spraying, and harvesting. However, each autonomous robot generally performs a single agricultural task. In this context, complete autonomy in precision farming can be achieved by using coordinated multi-robot systems that can easily and safely cooperate to accomplish agricultural tasks. The efficiency of the multi-robot system depends on the number of robots, the size of the robots, the distance between each robot, the instant location and heading angle of the robots, and the size of the farmland. This paper describes the development of wireless Robot to Robot (R2R) communication system architecture and the collision avoidance algorithm for multi-robot precision farming applications. The developed system uses the fusion of a digital compass and GPS receiver for wirelessly broadcasting the spatial and temporal data of the mobile robots through WiFi. In this study, WiFi broadcasting was chosen for reasons such as the advantages of long wireless signal range and strength, not being easily affected by weather and dust, low cost, and so on. The proposed system realizes the real-time wireless broadcasting of the mobile robot information for eliminating the collision of mobile robots and improving the level of safety management. The results show that the system has flexible, reliable, and adaptable solution, and thus can increase the efficiency of the multi-robot system in precision farming applications.

Energy Efficient Routing Protocols for Mobile Robots: A Review

Many vital applications benefit from mobile multi-robot teams, including search and rescue, environmental monitoring, military, unmanned space exploration, hazard detection and analysis. Communication between robots is important for group coordination and information sharing in mobile multi-robot teams. Because many mobile robot applications involve scenarios where communication infrastructure is destroyed or unavailable, mobile robot teams must regularly connect with one another through ADHOC networking. In such situations, low over-head and energy efficient routing systems for sending information are essential. The most difficult task is to provide a unified foundation for robot communication. The framework of Mobile Robots is described in this paper, as well as a review and analysis of several research papers on Energy Efficient Routing in Robotic Wireless sensor networks (RWSN).

Effects of Robot-Assisted Activity Using a Communication Robot on Neurological Activity in Older Adults with and without Cognitive Decline.

Robot-assisted activity (RAA) using a communication robot (RAA-CR) has been proposed as a tool for alleviating behavioral and psychological symptoms accompanying dementia (BPSD) in patients with cognitive decline. This study aimed to clarify the effects of differences in cognitive function among older adults on changes in active brain areas induced by RAA-CR. Twenty-nine older adults were divided into a cognitive decline group (n = 11) and a control group (n = 18). The participants individually received a 5-minute RAA session, and their resting EEG activity was measured before and after the session. Brain spatial analysis was performed on recorded EEG data using standardized low-resolution brain electromagnetic tomography. In addition, statistical comparisons of neural activity in the brain were made before and after RAA-CR and between the cognitively impaired and control groups. These results suggest that RAA-CR stimulates neural activity in the region centered on the posterior cingulate gyrus and precuneus in cognitively healthy older adults but does not significantly alter brain neural activity in cognitively impaired older adults. Therefore, modifications to the implementation methods may be necessary to effectively implement RAA-CR in cognitively impaired individuals.

Implementation of a human‐aware robot navigation module for cooperative soft‐fruit harvesting operations

AbstractIn the last decades, robotic solutions have been introduced in agriculture to improve the efficiency of tasks such as spraying, plowing, and seeding. However, for a more complex task like soft‐fruit harvesting, the efficiency of experienced human pickers has not been surpassed yet by robotic solutions. Thus, in the immediate future, human labor will probably be still necessary for picking tasks while robotic platforms could be used as collaborators, supporting the pickers in the transportation of the harvested fruit. This cooperative harvesting strategy creates a human–robot interaction (HRI) that requires significant further development in human‐aware safe navigation and effective bidirectional communication of intent. In fact, although agricultural robots are considered small/medium size machinery, they still represent a risk of causing injuries to human collaborators, especially if people are not trained to work with robots or robot operations are not intuitive. Avoiding such injury is the aim of this work which contributes to the development, implementation, and evaluation of a human‐aware navigation (HAN) module that can be integrated into the autonomous navigation system of commercial agricultural robots. The proposed module is responsible for the detection and monitoring of humans working around the robot and uses this information to activate safety actions depending on whether the human presence is considered at risk or not. Apart from ensuring a physically safe HRI, the proposed module deals with the comfort level and psychological safety of human coworkers. The latter is possible by using an explicit human–robot communication strategy that lets both know of the other's intentions, increasing the level of trust and reducing inefficient pauses triggered by unnecessary safety actions. The proposed HAN solution was integrated into a commercial agricultural robot and tested in several situations that are expected to happen during cooperative harvesting operations. The results of an usability assessment illustrated the benefits of the proposal in terms of safety, efficiency, and ergonomics.

Effects of Spatial Characteristics on the Human–Robot Communication Using Deictic Gesture in Construction

Effects of Spatial Characteristics on the Human–Robot Communication Using Deictic Gesture in Construction

Development and application of a communication robot to improve the emotional state of elderly living alone

Development and application of a communication robot to improve the emotional state of elderly living alone

Investigation of the Development of Robots for Training Dialect Communication Listening in Nursing Care Situations: A Case Study of Mikawa Dialects

This study aims to provide listening training and comprehension support using a communication robot for young and overseas staffs who have problems understanding dialects in medical and nursing care settings. In this study, we conducted an impression survey of university students in a region where dialects are used using a robot and a person who speaks standard Japanese and a dialect (Mikawa dialect). Moreover, a nationwide impression survey using only a robot was also performed. In the dialect-using region, the robot speaking the dialect gave the impression of being cute but difficult to understand, whereas no difference in impression was observed in the nationwide survey. However, the analysis of the free text showed that the dialect and motion of the robot gave a positive impression. Based on the factors contributing to the positive impression of the dialect, we aim to construct a training program that motivates young and foreign personnel.

Design Path for a Social Robot for Emotional Communication for Children with Autism Spectrum Disorder (ASD)

Children with autism spectrum disorder (ASD) have deficits in social interaction and expressing and understanding emotions. Based on this, robots for children with ASD have been proposed. However, few studies have been conducted about how to design a social robot for children with ASD. Non-experimental studies have been carried out to evaluate social robots; however, the general methodology that should be used to design a social robot is not clear. This study proposes a design path for a social robot for emotional communication for children with ASD following a user-centered design approach. This design path was applied to a case study and evaluated by a group of experts in psychology, human–robot interaction, and human–computer interaction from Chile and Colombia, as well as parents of children with ASD. Our results show that following the proposed design path for a social robot to communicate emotions for children with ASD is favorable.

Research on the influence of the baby schema effect on the cuteness and trustworthiness of social robot faces

Exploring people’s attitudes toward the appearance design of social robots in a low-cost and efficient way, and enhancing the experience of human–robot interaction have always been topics of concern for robot developers and interaction designers. This study aimed to explore the influence of the baby schema effect on users’ perceptions of cuteness and trustworthiness pertinent to social robot faces through two experiments. Experiment 1 used 100 uniformly processed pictures of robot faces in the real world to help explore the linear relationship among the degree of baby face, cuteness, and trustworthiness, and received a total of 98 valid questionnaires via the Internet. Experiment 2 was a 5 × 3 within-subjects factorial design. The research variables were robot type (i.e. MAKI, RoboThespian, Flobi, Pepper, and iCat) and baby schema (low schema, uncontrolled, and high schema); their impact on users’ perceptions of cuteness and trustworthiness was investigated. A total of 175 valid questionnaires were collected via the Internet. The generated results are as follows: (1) The degree of baby face and perceived emotion of social robot faces had a positive impact on trustworthiness for most real-world robots. (2) This study obtained the correlation formula of baby face, cuteness, and trustworthiness from a quantitative point of view, thus providing a reference for research on the related credibility of communication robots. (3) In general, baby schema effect also existed in the cuteness evaluation of most real-world robots. Faces with high schema were considered cuter and more trustworthy than uncontrolled or low schema faces. (4) Robot type and baby schema had a significant interaction with cuteness and trustworthiness. (5) However, for certain types of robots, baby schema effect may also have a counter-effect, that is, an overly high baby schema may reduce users’ perceptions of the cuteness and trustworthiness of social robots.

Sociable Robot ‘Lometh’: Exploring Interactive Regions of a Product-Promoting Robot in a Supermarket

The robot ‘Lometh’ is an information-presenting robot that naturally interacts with people in a supermarket environment. In recent years, considerable effort has been devoted to the implementation of robotic interfaces to identify effective behaviors of communication robots focusing only on the social and physical factors of the addresser and the hearer. As attention focus and attention target shifting of people differs based on the human visual focus and the spatiality, this study considered four interactive regions, considering the visual focus of attention as well as the interpersonal space between robot and human. The collected primary data revealed that 56% attention shifts occurred in near peripheral field of view regions and 44% attention shifts in far peripheral field of view regions. Using correspondence analysis, we identified that the bodily behaviors of the robot showed the highest success rate in the left near peripheral field of view region. The verbal behaviors of the robot captured human attention best in the right near peripheral field of view region. In this experiment of finding a socially acceptable way to accomplish the attention attracting goals of a communication robot, we observed that the robots’ affective behaviors were successful in shifting human attention towards itself in both left and right far- peripheral field of view regions, so we concluded that for far field of view regions, designing similar interaction interventions can be expected to be successful.

Preface

International Conference on Recent Advances in Wireless Communications & Emerging Technologies RAWCET-2022 This International Conference RAWCET 2022 is organized by Department of Electronics and Communication Engineering, Koneru Lakshmaiah Educational Foundation, India in association with IETE, IEEE communication, MTT student chapter and communication System Research Group (CSRG). The Conference aims to provide a platform to learn and share knowledge on Advanced Wireless Communication, RF and Modern antenna applications. It provides a forum for exchange of ideas and authoritative views by Research Community from Industry& Academia from National and International fraternity. Outstanding keynote speakers and well-known leading scientists and experts drawn across the globe shared their knowledge. We endeavour to bring individuals from various fields, and to make a setting in which they can collaborate synergistically, and ideally make new logical outcomes.The conference leads to the conclusions that 21st century communications throw light on the challenges to system designers, manufacturers and researches in their field related to ingenious Wireless Communication, Space Technologies, Data Communication, RF, Antennas, Signal Processing and Robotic Communication. The Wireless meeting offers key insights into cutting-edge applications from global experts, start-ups, and the winners of World’s major innovation competitions for space applications. Over and above all, this conference opened new avenues and paved the pathways for the future generations by introducing innovative techniques and paradigms to face the challenges and transform into ‘opportunistic communications.We are sure that this conference will definitely trigger lively discussions and present researchers to new developments. Finally, we appreciated the experienced expertise and young researchers for bringing innovative ideas to our conference.List of Organizing Committee Members are available in this pdf.

Multi-Robot Distributed Communication in Heterogeneous Robotic Systems on 5G Networking

This work aims at new opportunities for the development of the robot communication network. Besides, a robot operation and decision control method driven by Digital Twins (DT) is designed to utilize lasers in a virtual environment. The multi-agent is integrated with the Proximal Policy Optimization (PPO) algorithm, forming the Muti-PPO algorithm for robot path planning. In addition, a consistent hashing algorithm is introduced and optimized as a Weighted Consistent Hash of Multiple Mappings (WCHMM) algorithm with multiple mappings. The experimental results indicate that the average task execution time of the WCHMM algorithm in the case of three bus nodes is 8.09s, which is 32.47 percent and 21.38 percent lower than the task execution time in the case of a single bus node and two bus nodes, respectively. The multi-robot distributed communication system based on Service Oriented Architecture (SOA) gives full play to the various inherent advantages of the multi-robot system.

Comparing Norm-Based and Role-Based Strategies for Robot Communication of Role-Grounded Moral Norms

Because robots are perceived as moral agents, they must behave in accordance with human systems of morality. This responsibility is especially acute for language-capable robots because moral communication is a method for building moral ecosystems. Language capable robots must not only make sure that what they say adheres to moral norms; they must also actively engage in moral communication to regulate and encourage human compliance with those norms. In this work, we describe four experiments (total N =316) across which we systematically evaluate two different moral communication strategies that robots could use to influence human behavior: a norm-based strategy grounded in deontological ethics, and a role-based strategy grounded in role ethics. Specifically, we assess the effectiveness of robots that use these two strategies to encourage human compliance with norms grounded in expectations of behavior associated with certain social roles. Our results suggest two major findings, demonstrating the importance of moral reflection and moral practice for effective moral communication: First, opportunities for reflection on ethical principles may increase the efficacy of robots’ role-based moral language; and second, following robots’ moral language with opportunities for moral practice may facilitate role-based moral cultivation.

A Comparison of the Performance of Four Acoustic Modulation Techniques for Robot Communication in Pipes

Autonomous robotics is an emerging technology for the inspection of a vast network of underground pipes. Communication between autonomous robots is essential to optimise their efficiency and network coverage. However, sending a message acoustically is not a well-researched topic because most of the existing literature is devoted to the study of the acoustic properties of the pipe for the purpose of sensing rather than communication. In particular, the influence of multi-modal propagation and background noise on the quality of acoustic communication in pipes has not been well understood. This paper studies the performance of four standard acoustic communication techniques in a dry drainage pipe to fill this knowledge gap. The noise resistance, communication range and data rate of these techniques are estimated through numerical simulations and laboratory experiments. It has been found that the techniques based on shift keying requires at least 5--10 dB signal to noise ratio (SNR) to function properly while the chirp linear frequency modulation technique can operate reliably with SNR = 0 dB or event lower SNR. The results also suggest that the multi-modal propagation in the pipe has significant effects on the package error rate. The frequency dependent sound attenuation in the pipe also affects the communication range and data rate. In particular, for a 150 mm diameter dry pipe the maximum robot operation distance is likely to be limited to 50--100 m with the highest carrier frequency of around 10 kHz and data rates below 6300 bps. The results of this work pave the way to the development of acoustic communication modules to be deployed on tetheless robots designed to inspect a buried pipe network autonomously and collaboratively.

Long-term effect of the absence of a companion robot on older adults: A preliminary pilot study

Robotic assistive technology for frail older adults has drawn attention, along with raising ethical concerns. The ethical implications of a robot's usage have been characterized in the literature as detrimental, such as emotional deception, unhealthy attachment, and reduced human contact from a deontological perspective. These concerns require practical investigations, although the long-term effect of robot usage on older adults remains uncertain. Our longitudinal study aimed to investigate how older adults with cognitive decline could be affected by using a robot for communication in their homes and how this situation could be reflected in possible emotional attachment to the robot i.e., emotional distress from the robot being taken away once they had become attached to it. We selected 13 older adults living alone and set up a humanoid robot in their homes with whom they could interact at any time for a period of 1–4 months. Questionnaire results indicated participants had a close attachment to the robots even after they were taken away. Interviews revealed that participants became distressed without the robots; however, despite the distress caused by feeling lonely, participants reported that their relationships with the robots were meaningful and that they were satisfied with the memories of having had the robot as a companion. The results raised new questions for further investigation into issues that should be addressed and potential factors affecting the user's adaptation processes. Regarding the consequences of the use of a companion robot, it is important to evaluate the positive aspects of the robot's usage including the emotional support lasting after it was no longer available and other effects on the users. Accordingly, we emphasize the significance of real-world exploration into the effects on the users as well as theoretical reflection on appropriate robot usage.

Communication and Cooperation for Spherical Underwater Robots by Using Acoustic Transmission

The application of miniature underwater robots in the marine area is becoming more extensive. Occasionally, the ability of the single miniature underwater robot is limited by its size, configuration, function or propulsion method. At this moment, if a group of robots can work together in a division of labor, that can solve more problems underwater. For autonomous underwater vehicles, the support of underwater wireless communication equipment is required to achieve communication and collaboration. Acoustic communication equipment has generally been used in large underwater vehicles due to its large size and power. This article employs a small acoustic communication module to enable underwater communication in a spherical robot with a diameter of only 45 cm. The fourth-generation spherical underwater robot is exploited as the prototype. The article also verifies the accuracy, efficiency and timeliness of the proposed underwater communication systems. Finally, a cooperative mode is established based on the base station, master robot and slave robots, and some cooperation motion experiments are carried out to verify its effectiveness. Early work on this article was presented at the IEEE ICMA 2018 conference S. Gu et al., 2018. In this conference article, the authors only provided theoretical research and a small number of experiments. On this basis, this article has conducted in-depth research, proposed a base station-mater-slave robot communication mode, and established an instruction set for further experiments.

The Expanding Role of Artificial Intelligence in Collaborative Robots for Industrial Applications: A Systematic Review of Recent Works

A collaborative robot, or cobot, enables users to work closely with it through direct communication without the use of traditional barricades. Cobots eliminate the gap that has historically existed between industrial robots and humans while they work within fences. Cobots can be used for a variety of tasks, from communication robots in public areas and logistic or supply chain robots that move materials inside a building, to articulated or industrial robots that assist in automating tasks which are not ergonomically sound, such as assisting individuals in carrying large parts, or assembly lines. Human faith in collaboration has increased through human–robot collaboration applications built with dependability and safety in mind, which also enhances employee performance and working circumstances. Artificial intelligence and cobots are becoming more accessible due to advanced technology and new processor generations. Cobots are now being changed from science fiction to science through machine learning. They can quickly respond to change, decrease expenses, and enhance user experience. In order to identify the existing and potential expanding role of artificial intelligence in cobots for industrial applications, this paper provides a systematic literature review of the latest research publications between 2018 and 2022. It concludes by discussing various difficulties in current industrial collaborative robots and provides direction for future research.

コミュニケーションロボットの着衣色による感情表出手法の提案

In recent years, communication robots are commonly used in various purposes and situations such as guidance services at hotels and stations, elderly support, etc. in Japan. However, it is also shown that people still have a sense of anxiety toward robots. For this reason, there are few people who have motivations to communicate with robots. On the other hand, it has been suggested that the emotional expression of robots contributes to create a sense of familiarity and smooth communication. Therefore, we propose a method of emotional expression and enhancement by changing the color of the clothes the robot is wearing. In this research, we have matched the clothing color with speech emotion for communication robot. As a result of the experiment, we have found the matching between the clothing color and 10 emotions (joy, anger, sorrow, fear, shame, like, dislike, excite, relief and surprise).

Influences of changing clothes color of communication robot on information transmission to listener

Influences of changing clothes color of communication robot on information transmission to listener

Risk Assessment and AI Safety of Communication Robots

Risk Assessment and AI Safety of Communication Robots