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Journal articles on the topic 'Perception of robots'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 April 2022

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1

Karwowski, Waldemar, T. Plank, M. Parsaei, and M. Rahimi. "Human Perception of the Maximum Safe Speed of Robot Motions." Proceedings of the Human Factors Society Annual Meeting 31, no. 2 (1987): 186–90. http://dx.doi.org/10.1177/154193128703100211.

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A laboratory experiment was conducted to determine the maximum speeds of robot arm motion considered by the subjects as safe for human operators working in a close proximity of the robot's working envelope. Twenty-nine college students (16 males and 13 females) participated in the study as monitors of the simulated assembly tasks performed by two industrial robots of different size and work capabilities. The results show that the speed selection process depends on the robot's physical size and its initial speed at the start of the adjustment process. Subjects selected higher speeds as “safe” i

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Butler, Rebecca, Zoe Pruitt, and Eva Wiese. "The Effect of Social Context on the Mind Perception of Robots." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 230–34. http://dx.doi.org/10.1177/1071181319631010.

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As social robots are increasingly introduced into our everyday lives, an emphasis on improving the human-robot interaction (HRI), particularly through increased mind perception, is necessary. Substantial research has been conducted that demonstrates how manipulations to a robot’s physical appearance or behavior increases mind perception, yet little has been done to examine the effects of the social environment. This study aims to identify the impact of social context on mind perception by comparing mind perception ratings assigned to robots viewed in a human context with those assigned to robo

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Li, Haiyuan, Haoyu Wang, Linlin Cui, Jiake Li, Qi Wei, and Jiqiang Xia. "Design and Experiments of a Compact Self-Assembling Mobile Modular Robot with Joint Actuation and Onboard Visual-Based Perception." Applied Sciences 12, no. 6 (2022): 3050. http://dx.doi.org/10.3390/app12063050.

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Modular robots have the advantage of self-assembling into a large and complex structure to travel through territories beyond an individual robot’s capacity. A swarm of mobile robots is combined through mechanical interconnection and joint actuation to achieve a linked or articular configuration. In this paper, to enhance the perception, actuation and docking capacity of modular robots, a parallel mechanism-based docking system and onboard visual perception system are proposed in the design of a novel compact self-assembling mobile modular robot (SMMRob). Each module is self-contained, with a s

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Martín, Francisco, Carlos E. Agüero, and José M. Cañas. "Active Visual Perception for Humanoid Robots." International Journal of Humanoid Robotics 12, no. 01 (2015): 1550009. http://dx.doi.org/10.1142/s0219843615500097.

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Robots detect and keep track of relevant objects in their environment to accomplish some tasks. Many of them are equipped with mobile cameras as the main sensors, process the images and maintain an internal representation of the detected objects. We propose a novel active visual memory that moves the camera to detect objects in robot's surroundings and tracks their positions. This visual memory is based on a combination of multi-modal filters that efficiently integrates partial information. The visual attention subsystem is distributed among the software components in charge of detecting relev

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Onnasch, Linda, and Eileen Roesler. "Anthropomorphizing Robots: The Effect of Framing in Human-Robot Collaboration." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 1311–15. http://dx.doi.org/10.1177/1071181319631209.

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Anthropomorphic framing of social robots is widely believed to facilitate human-robot interaction. In two subsequent studies, the impact of anthropomorphic framing was examined regarding the subjective perception of a robot and the willingness to donate money for this robot. In both experiments, participants received either an anthropomorphic or a functional description of a humanoid NAO robot prior to a cooperative task. Afterwards the perceived robot’s humanlike perception and the willingness to “save” the robot from malfunctioning were assessed (donation behavior). Surprisingly, the first s

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Bartneck, Christoph, and Jun Hu. "Exploring the abuse of robots." Interaction Studies 9, no. 3 (2008): 415–33. http://dx.doi.org/10.1075/is.9.3.04bar.

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Robots have been introduced into our society, but their social role is still unclear. A critical issue is whether the robot’s exhibition of intelligent behaviour leads to the users’ perception of the robot as being a social actor, similar to the way in which people treat computers and media as social actors. The first experiment mimicked Stanley Milgram’s obedience experiment, but on a robot. The participants were asked to administer electric shocks to a robot, and the results show that people have fewer concerns about abusing robots than about abusing other people. We refined the methodology

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Aliasghari, Pourya, Moojan Ghafurian, Chrystopher L. Nehaniv, and Kerstin Dautenhahn. "Impact of nonverbal robot behaviour on human teachers’ perceptions of a learner robot." Interaction Studies 22, no. 2 (2021): 141–76. http://dx.doi.org/10.1075/is.20036.ali.

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Abstract How do we perceive robots practising a task that we have taught them? While learning, human trainees usually provide nonverbal cues that reveal their level of understanding and interest in the task. Similarly, nonverbal social cues of trainee robots that can be interpreted naturally by humans can enhance robot learning. In this article, we investigated a scenario in which a robot is practising a physical task in front of the human teachers (i.e., participants), who were asked to assume that they had previously taught the robot to perform that task. Through an online experiment with 16

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Kirandziska, Vesna, and Nevena Ackovska. "Comparison of emotion evaluation perception using human voice signals of robots and humans." International Journal of Business & Technology 2, no. 2 (2014): 13–17. http://dx.doi.org/10.33107/ijbte.2014.2.2.03.

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Emotion perception is the process of perceiving other people’s emotions. It can be based on their facial expression, movement, voice and other biosignals people emit. The evaluation of human’s emotion is one characteristic of emotions. One of the research areas in Robotics is adapting humanistic behavior in robots. Today many robots are constructed. Some of them can even perceive emotions. In this paper a custom built emotion aware robot that perceives emotion evaluation is used to investigate the similarity and differences of the robot's and human's emotion perception. Voice signals from real

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Currie, Levern Q., and Eva Wiese. "Mind Perception in a Competitive Human-Robot Interaction Game." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 1957–61. http://dx.doi.org/10.1177/1071181319631284.

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Robotic agents are becoming increasingly pervasive in society, and have already begun advancing fields such as healthcare, education, and industry. However, despite their potential to do good for society, many people still feel unease when imaging a future where robots and humans work and live together in shared environments, partly because robots are not generally trusted or ascribed human-like socio-emotional skills such as mentalizing and empathizing. In addition, performing tasks conjointly with robots can be frustrating and ineffective partially due to the fact that neuronal networks invo

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Bishop, Laura, Anouk van Maris, Sanja Dogramadzi, and Nancy Zook. "Social robots: The influence of human and robot characteristics on acceptance." Paladyn, Journal of Behavioral Robotics 10, no. 1 (2019): 346–58. http://dx.doi.org/10.1515/pjbr-2019-0028.

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AbstractResearch in social robotics is focused on the development of robots that can provide physical and cognitive support in a socially interactive way. Whilst some studies have previously investigated the importance of user characteristics (age, gender, education, robot familiarity, mood) in the acceptance of social robots as well as the influence a robot’s displayed emotion (positive, negative, neutral) has on the interaction, these two aspects are rarely combined. Therefore, this study attempts to highlight the need to consider the influence that both human and robot attributes can have o

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Bonci, Andrea, Pangcheng David Cen Cheng, Marina Indri, Giacomo Nabissi, and Fiorella Sibona. "Human-Robot Perception in Industrial Environments: A Survey." Sensors 21, no. 5 (2021): 1571. http://dx.doi.org/10.3390/s21051571.

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Perception capability assumes significant importance for human–robot interaction. The forthcoming industrial environments will require a high level of automation to be flexible and adaptive enough to comply with the increasingly faster and low-cost market demands. Autonomous and collaborative robots able to adapt to varying and dynamic conditions of the environment, including the presence of human beings, will have an ever-greater role in this context. However, if the robot is not aware of the human position and intention, a shared workspace between robots and humans may decrease productivity

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Warta, Samantha F., Katelynn A. Kapalo, Andrew Best, and Stephen M. Fiore. "Similarity, Complementarity, and Agency in HRI." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (2016): 1230–34. http://dx.doi.org/10.1177/1541931213601287.

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Robotic teammates are becoming prevalent in increasingly complex and dynamic operational and social settings. For this reason, the perception of robots operating in such environments has transitioned from the perception of robots as tools, extending human capabilities, to the perception of robots as teammates, collaborating with humans and displaying complex social cognitive processes. The goal of this paper is to introduce a discussion on an integrated set of robotic design elements, as well as provide support for the idea that human-robot interaction requires a clearer understanding of socia

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Meneses, Alexis, Yuichiro Yoshikawa, and Hiroshi Ishiguro. "Effect of synchronous robot motion on human synchrony and enjoyment perception." Interaction Studies 22, no. 1 (2021): 86–109. http://dx.doi.org/10.1075/is.18027.men.

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Abstract Enhancing synchronization among people when synchronization is lacking is believed to improve their social skills, learning processes, and proficiency in musical rhythmic development. Greater synchronization among people can be induced to improve the rhythmic interaction of a system with multiple dancing robots that dance to a drum beat. A series of experiments were conducted to examine the human–human synchrony between persons that participated in musical sessions with robots. In this study, we evaluated: (a) the effect of the number of robots on a subject’s ability to synchronize wi

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Trovato, Gabriele, Cesar Lucho, and Renato Paredes. "She’s Electric—The Influence of Body Proportions on Perceived Gender of Robots across Cultures." Robotics 7, no. 3 (2018): 50. http://dx.doi.org/10.3390/robotics7030050.

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The assignment of gender to robots is a debatable topic. Subtle aspects related to gender, in a robot’s appearance, may create biased expectations of the robot’s abilities and influence user acceptance. The present research is a cross-cultural study involving more than 150 participants to investigate the perception of gender in robot design by manipulating body proportions. We are focusing specifically on the contrast between two extremely different cultures: Peruvian and Japanese. From the survey based on stimuli varying in the proportion between chest, waist, and hips, the results indicate t

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Li, Liyuan, Qianli Xu, Gang S. Wang, Xinguo Yu, Yeow Kee Tan, and Haizhou Li. "Visual Perception Based Engagement Awareness for Multiparty Human–Robot Interaction." International Journal of Humanoid Robotics 12, no. 04 (2015): 1550019. http://dx.doi.org/10.1142/s021984361550019x.

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Computational systems for human–robot interaction (HRI) could benefit from visual perceptions of social cues that are commonly employed in human–human interactions. However, existing systems focus on one or two cues for attention or intention estimation. This research investigates how social robots may exploit a wide spectrum of visual cues for multiparty interactions. It is proposed that the vision system for social cue perception should be supported by two dimensions of functionality, namely, vision functionality and cognitive functionality. A vision-based system is proposed for a robot rece

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Jin, Lu, Yue Quan Yang, Chun Bo Ni, Zhi Qiang Cao, and Yi Fei Kong. "Multi-Robot Q-Learning over Community Perception Network with Homogeneous Delays." Advanced Materials Research 823 (October 2013): 321–25. http://dx.doi.org/10.4028/www.scientific.net/amr.823.321.

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With the more robots, the information interaction of multi-robot system becomes more sophisticated and important in a community perception network environment. By exploiting and fusing the learning information of robots in a perception community, the community information sharing mechanism is proposed, as well as updating rules of the community Q-value table. Moreover, considering the existence of delays of learning information transmission, an improved Q-learning method based on homogeneous delays is presented to improve the robot learning efficiency over the community perception network. Fin

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Park, Sung, and Mincheol Whang. "Empathy in Human–Robot Interaction: Designing for Social Robots." International Journal of Environmental Research and Public Health 19, no. 3 (2022): 1889. http://dx.doi.org/10.3390/ijerph19031889.

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For a service robot to serve travelers at an airport or for a social robot to live with a human partner at home, it is vital for robots to possess the ability to empathize with human partners and express congruent emotions accordingly. We conducted a systematic review of the literature regarding empathy in interpersonal, virtual agents, and social robots research with inclusion criteria to analyze empirical studies in a peer-reviewed journal, conference proceeding, or a thesis. Based on the review, we define empathy for human–robot interaction (HRI) as the robot’s (observer) capability and pro

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Bogue, Robert. "Sensors for robotic perception. Part one: human interaction and intentions." Industrial Robot: An International Journal 42, no. 5 (2015): 386–91. http://dx.doi.org/10.1108/ir-05-2015-0098.

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Purpose – The purpose of this two-part paper is to illustrate how sensors impart robots with perceptive capabilities. This first part considers robots that interact with humans and which seek to mimic human intentions. Design/methodology/approach – Following a short introduction, this paper first discusses the sensors used in robotic prosthetics. It then considers sensor applications in recently developed service, companion and assistive robots. The final section concerns the sensors used in collaborative robots, followed by brief concluding comments. Findings – This shows that sensors play a

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Rubio, Francisco, Francisco Valero, and Carlos Llopis-Albert. "A review of mobile robots: Concepts, methods, theoretical framework, and applications." International Journal of Advanced Robotic Systems 16, no. 2 (2019): 172988141983959. http://dx.doi.org/10.1177/1729881419839596.

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Humanoid robots, unmanned rovers, entertainment pets, drones, and so on are great examples of mobile robots. They can be distinguished from other robots by their ability to move autonomously, with enough intelligence to react and make decisions based on the perception they receive from the environment. Mobile robots must have some source of input data, some way of decoding that input, and a way of taking actions (including its own motion) to respond to a changing world. The need to sense and adapt to an unknown environment requires a powerful cognition system. Nowadays, there are mobile robots

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Wei, Chun-Wang, Hao-Yun Kao, Wen-Hsiung Wu, Chien-Yu Chen, and Hsin-Pin Fu. "The Influence of Robot-Assisted Learning System on Health Literacy and Learning Perception." International Journal of Environmental Research and Public Health 18, no. 21 (2021): 11053. http://dx.doi.org/10.3390/ijerph182111053.

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Healthy aging is a new challenge for the world. Therefore, health literacy education is a key issue in the current health care field. This research has developed a robot-assisted learning system to explore the possibility of significantly improving health literacy and learning perception through interaction with robots. In particular, this study adopted an experimental design, in which the experiment lasted for 90 min. A total of 60 participants over the age of 50 were randomly assigned to different learning modes. The RobotLS group learned by interacting with robots, while the VideoLS group w

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Wang, Jian Rong, Ya Long Yang, Jian Guo Wei, and Mei Yu. "The Perception System of External World for Robot." Advanced Materials Research 748 (August 2013): 685–89. http://dx.doi.org/10.4028/www.scientific.net/amr.748.685.

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World Model is the robots view of the world and contains information for the robot to make decisions. World Modeling is the process that robots map the sensor data into the World Model. The complexity of the sensors increased, so does the data process components. In this paper, an architecture for world modeling is proposed. This architecture enhances the extensibility of the data process components by decoupling them with a middleware, and it improves the efficiency by computing in parallel. The combination of this architecture and the PDDL will also be presented.

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Skewes, Joshua, David M. Amodio, and Johanna Seibt. "Social robotics and the modulation of social perception and bias." Philosophical Transactions of the Royal Society B: Biological Sciences 374, no. 1771 (2019): 20180037. http://dx.doi.org/10.1098/rstb.2018.0037.

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The field of social robotics offers an unprecedented opportunity to probe the process of impression formation and the effects of identity-based stereotypes (e.g. about gender or race) on social judgements and interactions. We present the concept of fair proxy communication—a form of robot-mediated communication that proceeds in the absence of potentially biasing identity cues—and describe how this application of social robotics may be used to illuminate implicit bias in social cognition and inform novel interventions to reduce bias. We discuss key questions and challenges for the use of robots

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Khaluf, Yara. "Robot Swarms Decide under Perception Errors in Best-of-N Problems." Applied Sciences 12, no. 6 (2022): 2975. http://dx.doi.org/10.3390/app12062975.

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Robot swarms have been used extensively to examine best-of-N decisions; however, most studies presume that robots can reliably estimate the quality values of the various options. In an attempt to bridge the gap to reality, in this study, we assume robots with low-quality sensors take inaccurate measurements in both directions of overestimating and underestimating the quality of available options. We propose the use of three algorithms for allowing robots to identify themselves individually based on both their own measurements and the measurements of their dynamic neighborhood. Within the decis

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Roesler, Eileen, Linda Onnasch, and Julia I. Majer. "The Effect of Anthropomorphism and Failure Comprehensibility on Human-Robot Trust." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (2020): 107–11. http://dx.doi.org/10.1177/1071181320641028.

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The application of anthropomorphic features to robots is generally considered to be beneficial for human- robot interaction. Although previous research has mainly focused on social robots, the phenomenon gains increasing attention in industrial human-robot interaction, as well. In this study, the impact of anthropomorphic design of a collaborative industrial robot on the dynamics of trust is examined. Participants interacted with a robot, which was either anthropomorphically or technically designed and experienced either a comprehensible or an incomprehensible fault of the robot. Unexpectedly,

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Kim, Min Ji, Spencer Kohn, and Tyler Shaw. "Does Long-Term Exposure To Robots Affect Mind Perception? An Exploratory Study." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (2020): 1820–24. http://dx.doi.org/10.1177/1071181320641438.

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From cleaning houses to assisting airport passengers, robots are rapidly becoming an integral part of society. As they transition into a facet of the everyday environment, it’s important to understand how beliefs and behavior concerning these robots will change over time. While human-robot interaction research is common, there is a significant literature gap concerning long-term interaction with these agents. The current study seeks to better understand how exposure over a time-scale of months changes mind perception towards robots. This area of research is especially critical given that mind

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Yi, Lim, Anh Vu Le, Balakrishnan Ramalingam, et al. "Locomotion with Pedestrian Aware from Perception Sensor by Pavement Sweeping Reconfigurable Robot." Sensors 21, no. 5 (2021): 1745. http://dx.doi.org/10.3390/s21051745.

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Regular washing of public pavements is necessary to ensure that the public environment is sanitary for social activities. This is a challenge for autonomous cleaning robots, as they must adapt to the environment with varying pavement widths while avoiding pedestrians. A self-reconfigurable pavement sweeping robot, named Panthera, has the mechanisms to perform reconfiguration in width to enable smooth cleaning operations, and it changes its behavior based on environment dynamics of moving pedestrians and changing pavement widths. Reconfiguration in the robot’s width is possible, due to the scis

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Daudelin, Jonathan, Gangyuan Jing, Tarik Tosun, Mark Yim, Hadas Kress-Gazit, and Mark Campbell. "An integrated system for perception-driven autonomy with modular robots." Science Robotics 3, no. 23 (2018): eaat4983. http://dx.doi.org/10.1126/scirobotics.aat4983.

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The theoretical ability of modular robots to reconfigure in response to complex tasks in a priori unknown environments has frequently been cited as an advantage and remains a major motivator for work in the field. We present a modular robot system capable of autonomously completing high-level tasks by reactively reconfiguring to meet the needs of a perceived, a priori unknown environment. The system integrates perception, high-level planning, and modular hardware and is validated in three hardware demonstrations. Given a high-level task specification, a modular robot autonomously explores an u

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Pruski, A., and A. Atassi. "Sensor information space for robust mobile robot path planning." Robotica 18, no. 4 (2000): 415–21. http://dx.doi.org/10.1017/s0263574799002532.

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This paper introduces a new approach to robust path planning for mobile robots entirely based on information from environment perception sensors. This method avoids the use of odometry which leads to the accumulation of errors resulting from the robot's position computing. We proceed as follows: we create regions inside which the robot detects the same obstacle segments. A node graph represents all the regions and their links. Then a planning algorithm is used to find a path which joins a start to a goal region. The final stage consists in applying a robust robot motion control as regards the

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Sulistijono, Indra Adji, and Naoyuki Kubota. "Visual Perception for a Partner Robot Based on Computational Intelligence." Journal of Advanced Computational Intelligence and Intelligent Informatics 9, no. 6 (2005): 654–60. http://dx.doi.org/10.20965/jaciii.2005.p0654.

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We propose computational intelligence for partner robot perception in which the robot requires the capability of visual perception to interact with human beings. Basically, robots should conduct moving object extraction, clustering, and classification for visual perception used in interactions with human beings. We propose total human visual tracking by long-term memory, k-means, self-organizing map, and a fuzzy controller is used for movement output. Experimental results show that the partner robot can conduct the human visual tracking.

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Vaitulevičius, Linas, and Andreas Breyer. "Visual Perception System Guides Robots." PhotonicsViews 16, no. 6 (2019): 45–47. http://dx.doi.org/10.1002/phvs.201970610.

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Hadidi, Ramyad, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, and Hyesoon Kim. "Distributed Perception by Collaborative Robots." IEEE Robotics and Automation Letters 3, no. 4 (2018): 3709–16. http://dx.doi.org/10.1109/lra.2018.2856261.

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Best, Graeme, Oliver M. Cliff, Timothy Patten, Ramgopal R. Mettu, and Robert Fitch. "Dec-MCTS: Decentralized planning for multi-robot active perception." International Journal of Robotics Research 38, no. 2-3 (2018): 316–37. http://dx.doi.org/10.1177/0278364918755924.

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We propose a decentralized variant of Monte Carlo tree search (MCTS) that is suitable for a variety of tasks in multi-robot active perception. Our algorithm allows each robot to optimize its own actions by maintaining a probability distribution over plans in the joint-action space. Robots periodically communicate a compressed form of their search trees, which are used to update the joint distribution using a distributed optimization approach inspired by variational methods. Our method admits any objective function defined over robot action sequences, assumes intermittent communication, is anyt

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BECHER, REGINE, PETER STEINHAUS, and RÜDIGER DILLMANN. "THE COLLABORATIVE RESEARCH CENTER 588: "HUMANOID ROBOTS — LEARNING AND COOPERATING MULTIMODAL ROBOTS"." International Journal of Humanoid Robotics 01, no. 03 (2004): 429–48. http://dx.doi.org/10.1142/s0219843604000204.

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This paper gives an overview of the current and forthcoming research projects of the Collaborative Research Center 588 "Humanoid Robots — Learning and Cooperating Multimodal Robots." The activities can be divided into several areas: development of mechatronic components and construction of a demonstrator system, perception of user and environment, modeling and simulation of robots, environment and user, and finally cooperation and learning. The research activities in each of these areas are described in detail. Finally, we give an insight into the application scenario of our robot system, i.e.

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Arena, Paolo, Davide Lombardo, and Luca Patanè. "Biorobots, Nonlinear Dynamics and Perception." Advances in Science and Technology 58 (September 2008): 143–52. http://dx.doi.org/10.4028/www.scientific.net/ast.58.143.

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In this contribution a survey on a novel approach to locomotion and perception in biologically inspired robots is presented. The basic electronic architecture for modeling and implementing nonlinear dynamics involved in motion and perceptual control of the robot is the Cellular nonlinear network paradigm. It is shown how this continuous time lattice of neural-like circuits can generate suitable and real-time dynamics for efficient control of multi-actuators moving machines, and also to create the basis for a perceptual control of their behaviors.

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Kwon, Ohhoon, and Tetsunari Inamura. "Surrounding Display and Gesture based Robot Interaction Space to Enhance User Perception for Teleoperated Robots." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2010.5 (2010): 277–82. http://dx.doi.org/10.1299/jsmeicam.2010.5.277.

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Kim, Justin Y., Zendai Kashino, Tyler Colaco, Goldie Nejat, and Beno Benhabib. "Design and implementation of a millirobot for swarm studies –mROBerTO." Robotica 36, no. 11 (2018): 1591–612. http://dx.doi.org/10.1017/s0263574718000589.

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SUMMARYThe use of millirobots, particularly in swarm studies, would enable researchers to verify their proposed autonomous cooperative behavior algorithms under realistic conditions with a large number of agents. While multiple designs for such robots have been proposed, they, typically, require custom-made components, which make replication and manufacturing difficult, and, mostly, employ non-modular integral designs. Furthermore, these robots' proposed small sizes tend to limit sensory perception capabilities and operational time. Some have resolved few of the above issues through the use of

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Burton, Algelia, Erin K. Chiou, and Robert S. Gutzwiller. "A Brief Literature Review on Human Perceptions of Service Robots with a Focus on Healthcare." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (2020): 117–21. http://dx.doi.org/10.1177/1071181320641030.

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Service robots are becoming increasingly popular in the world where they interact with humans on a semi- or routine basis. It is essential to understand human perceptions of these robots, as they affect use, adoption, and interaction. The primary goal of this brief literature review was to learn about public perceptions of service robots, particularly in healthcare settings. A secondary goal was to understand the measures generally used to gather perception data. A restricted literature search was conducted from September-November 2019 using three databases, yielding 3,629 articles; a total of

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Diab, Mohammed, Aliakbar Akbari, Muhayy Ud Din, and Jan Rosell. "PMK—A Knowledge Processing Framework for Autonomous Robotics Perception and Manipulation." Sensors 19, no. 5 (2019): 1166. http://dx.doi.org/10.3390/s19051166.

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Autonomous indoor service robots are supposed to accomplish tasks, like serve a cup, which involve manipulation actions. Particularly, for complex manipulation tasks which are subject to geometric constraints, spatial information and a rich semantic knowledge about objects, types, and functionality are required, together with the way in which these objects can be manipulated. In this line, this paper presents an ontological-based reasoning framework called Perception and Manipulation Knowledge (PMK) that includes: (1) the modeling of the environment in a standardized way to provide common voca

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Javaid, Misbah, and Vladimir Estivill-Castro. "Explanations from a Robotic Partner Build Trust on the Robot’s Decisions for Collaborative Human-Humanoid Interaction." Robotics 10, no. 1 (2021): 51. http://dx.doi.org/10.3390/robotics10010051.

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Typically, humans interact with a humanoid robot with apprehension. This lack of trust can seriously affect the effectiveness of a team of robots and humans. We can create effective interactions that generate trust by augmenting robots with an explanation capability. The explanations provide justification and transparency to the robot’s decisions. To demonstrate such effective interaction, we tested this with an interactive, game-playing environment with partial information that requires team collaboration, using a game called Spanish Domino. We partner a robot with a human to form a pair, and

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Mertz, Lasse, Kristina Tornbjerg, and Christian Nøhr. "User Perception of Automated Dose Dispensed Medicine in Home Care: A Scoping Review." Healthcare 9, no. 10 (2021): 1381. http://dx.doi.org/10.3390/healthcare9101381.

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(1) Background: Automated dose dispensing (ADD) systems are today used around the world. The ADD robots are placed in patients’ homes to increase medication safety as well as medication adherence; however, little is known about how ADD robots affect the patient’s day-to-day lives, receiving the daily doses of medicine from a machine rather than from a human healthcare professional. The aim of this study is to review the available literature on users’ perceptions of having an ADD robot and collect evidence on how they perceive having less human contact after implementing this technology in thei

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Belchenko, F. M., and I. L. Ermolov. "A New Approach to Images’ Pespective Transformation in Robotics Telemetry." Mekhatronika, Avtomatizatsiya, Upravlenie 22, no. 12 (2021): 644–49. http://dx.doi.org/10.17587/mau.22.644-649.

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Remotely controlled robots are the majority of contemporary robots’ population. As a rule such robots are used for inspection, patrolling, mines disposal. This is caused by a fact that today’s level of robots’ autonomy is rather low and autonomous robots can not secure reliable performance. However performance of remotely operated robots depends largely on efficiency of information perception by human-operator. This paper studies images representation to operators on robots’ control pendants. More specifically it studies 3D images representation on flat displays. The goal of this study is to i

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OZTOP, ERHAN, DAVID W. FRANKLIN, THIERRY CHAMINADE, and GORDON CHENG. "HUMAN–HUMANOID INTERACTION: IS A HUMANOID ROBOT PERCEIVED AS A HUMAN?" International Journal of Humanoid Robotics 02, no. 04 (2005): 537–59. http://dx.doi.org/10.1142/s0219843605000582.

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As humanoid robots become more commonplace in our society, it is important to understand the relation between humans and humanoid robots. In human face-to-face interaction, the observation of another individual performing an action facilitates the execution of a similar action, and interferes with the execution of a different action. This phenomenon has been explained by the existence of shared neural mechanisms for the execution and perception of actions, which would be automatically engaged by the perception of another individual's action. In one interference experiment, null interference wa

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Mao, Wenju, Zhijie Liu, Heng Liu, Fuzeng Yang, and Meirong Wang. "Research Progress on Synergistic Technologies of Agricultural Multi-Robots." Applied Sciences 11, no. 4 (2021): 1448. http://dx.doi.org/10.3390/app11041448.

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Multi-robots have shown good application prospects in agricultural production. Studying the synergistic technologies of agricultural multi-robots can not only improve the efficiency of the overall robot system and meet the needs of precision farming but also solve the problems of decreasing effective labor supply and increasing labor costs in agriculture. Therefore, starting from the point of view of an agricultural multiple robot system architectures, this paper reviews the representative research results of five synergistic technologies of agricultural multi-robots in recent years, namely, e

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Li, Mo, Jianwei Niu, Yuanbo Dou, Tao Ren, Qingfeng Li, and Xiaolong Yu. "3D-RPP: a novel 3D vision-based Pose Perception Approach for Industrial Robots." Journal of Physics: Conference Series 2188, no. 1 (2022): 012013. http://dx.doi.org/10.1088/1742-6596/2188/1/012013.

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Abstract Enhanced by artificial intelligence, industrial robots are becoming more powerful, gaining a large variety of applications in intelligent factories. Pose perception, the aim of which is to obtain the joint coordinates of the robot in the camera coordinate system, has been proposed as a promising technology for multi-robot intelligent interaction. A large number of efforts have been made on studying robot pose perception. However, most of existing studies estimate the position of robot joints in 3D space by just using 2D color images, and perform pose perception by estimating the posit

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Warta, Samantha F., Olivia B. Newton, Jihye Song, Andrew Best, and Stephen M. Fiore. "Effects of Social Cues on Social Signals in Human-Robot Interaction During a Hallway Navigation Task." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (2018): 1128–32. http://dx.doi.org/10.1177/1541931218621258.

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This study investigated how humans interact socially with robots. Participants engaged in a hallway navigation task with a robot. Throughout twelve trials, the display on the robot and its proxemics behavior was varied while participants were tasked with first, reacting to the robot’s actions and second, interpreting its behavior. Results indicated that proxemic behavior and robotic display characteristics influence the degree to which individuals perceive the robot as socially present, with more human-like displays and assertive robotic behaviors resulting in greater assessments of social pre

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Stellmach, Hanna, and Felix Lindner. "Perception of an Uncertain Ethical Reasoning Robot." i-com 18, no. 1 (2019): 79–91. http://dx.doi.org/10.1515/icom-2019-0002.

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Abstract This study investigates the effect of uncertainty expressed by a robot facing a moral dilemma on humans’ moral judgment and impression formation. In two experiments, participants were shown a video of a robot explaining a moral dilemma and suggesting a decision to make. The robot either expressed certainty or uncertainty about the decision it suggests. Participants rated how much blame the robot deserves for its decision, the moral wrongness of the chosen action, and their impression of the robot in terms of four scale dimensions measuring social perception. The results suggest that t

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Brugali, Davide, and Nico Hochgeschwender. "Software Product Line Engineering for Robotic Perception Systems." International Journal of Semantic Computing 12, no. 01 (2018): 89–107. http://dx.doi.org/10.1142/s1793351x18400056.

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Control systems for autonomous robots are concurrent, distributed, embedded, real-time and data intensive software systems. A real-world robot control system is composed of tens of software components. For each component providing robotic functionality, tens of different implementations may be available. The difficult challenge in robotic system engineering consists in selecting a coherent set of components, which provide the functionality required by the application requirements, taking into account their mutual dependencies. This challenge is exacerbated by the fact that robotics system inte

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Wakelin-Theron, Nicola. "ILLUSTRATING THE PERCEPTION OF STUDENTS TOWARDS AUTONOMOUS SERVICE ROBOTS IN THE TOURISM INDUSTRY: AN EXPLORATORY STUDY." Tourism and Hospitality Management 27, no. 2 (2021): 385–406. http://dx.doi.org/10.20867/thm.27.2.7.

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Research purpose – The purpose of the study was to explore the students’ perceptions towards autonomous service robots, using interviews and, in a novel manner, also their drawings, to generate data. The paper contributes to current knowledge claims around the Techno-Economic Paradigm by providing a greater understanding of, and student response to, autonomous service robots. Additional insights were gained on transformational skills set for tourism practitioners. Design/Methodology/Approach – A qualitative approach followed a participatory research design which was set in a public higher educ

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Zhang, Xiya, M. S. Balaji, and Yangyang Jiang. "Robots at your service: value facilitation and value co-creation in restaurants." International Journal of Contemporary Hospitality Management 34, no. 5 (2022): 2004–25. http://dx.doi.org/10.1108/ijchm-10-2021-1262.

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Purpose This paper aims to understand the process of guest-robot value co-creation in the restaurant context. It empirically examines the guest perception of value facilitation by service robots and its impact on guest value co-creation and advocacy intentions. It also investigates the moderating role of interaction comfort in the relationship between service robot value facilitation and guest value co-creation. Design/methodology/approach A mixed-methods approach was adopted. Ten customers who had dined at a service robot restaurant in China were interviewed in the qualitative study, followed

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Wu, Jifei, Xiangyun Zhang, Yimin Zhu, and Grace Fang Yu-Buck. "Get Close to the Robot: The Effect of Risk Perception of COVID-19 Pandemic on Customer–Robot Engagement." International Journal of Environmental Research and Public Health 18, no. 12 (2021): 6314. http://dx.doi.org/10.3390/ijerph18126314.

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The purpose of this study was to examine the effect of the COVID-19 pandemic on customer–robot engagement in the Chinese hospitality industry. Analysis of a sample of 589 customers using service robots demonstrated that the perceived risk of COVID-19 has a positive influence on customer–robot engagement. The positive effect is mediated by social distancing and moderated by attitudes towards risk. Specifically, the mediating effect of social distancing between the perceived risk of COVID-19 and customer–robot engagement is stronger for risk-avoiding (vs. risk-seeking) customers. Our results pro

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