PENGENDALIAN DIFFERENTIAL WHEELED MOBILE ROBOT UNTUK HUMAN FOLLOWING DOI Open Access

Alfretz Nehemia Mangapul,

Wahyudi Wahyudi, Hadha Afrisal

et al.

Transient Jurnal Ilmiah Teknik Elektro, Journal Year: 2023, Volume and Issue: 12(4), P. 159 - 164

Published: Dec. 4, 2023

Kemajuan teknologi robotika banyak dimanfaatkan untuk mempermudah manusia khususnya jenis pekerjaan yang bersifat beresiko, pola berulang dan melelahkan. robot beroda merupakan salah satu sering dikembangkan karena memungkinkan bergerak secara mudah dapat membawa suatu barang atau logistik. Pada bidang perhotelan, mobile digunakan dari tempat ke lain. Dengan mengambil strategi mengikuti pergerakan manusia, dilengkapi sensor kamera RGBD aktuator motor BLDC manusia. Pengendalian dua menggunakan pengendali PI pengendalian dalam P. Deteksi objek pada YOLOv8. Kecepatan dikendalikan dengan nilai persentase error steady state di bawah 3,41% tidak memiliki overshoot. Robot juga masih mendeteksi melakukan posisi optimal sampai jarak 2,5 m. skema perjalanan berjalan lurus sejauh 4 meter waktu rata-rata 12,05 detik berputar 90° 10,75 detik.

Societal Attitudes Toward Service Robots: Adore, Abhor, Ignore, or Unsure? DOI
Vignesh Yoganathan, Victoria‐Sophie Osburg, Andrea Fronzetti Colladon

et al.

Journal of Service Research, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 5, 2024

Societal or population-level attitudes are aggregated patterns of different individual attitudes, representing collective general predispositions. As service robots become ubiquitous, understanding towards them at the population (vs. individual) level enables firms to expand robot services a broad niche) market. Targeting would benefit because: (1) they more persistent, thus, stronger predictors behavioral and (2) this approach is less reliant on personal data, whereas individualized vulnerable AI-related privacy risks. for theory, ignoring unobserved differences in produces biased conclusions, our systematic review previous research highlights poor potential heterogeneity toward robots. We present five diverse studies (S1-S5), utilizing multinational "real world" data (Ntotal = 89,541; years: 2012-2024). Results reveal stable structure comprising four distinct attitude profiles (S1-S5): positive ("adore"), negative ("abhor"), indifferent ("ignore"), ambivalent ("unsure"). The psychological need interacting with staff, autonomy relatedness technology use, function as profile antecedents (S2). Importantly, predict post-interaction discomfort anxiety (S3), satisfaction ratings evaluations (S4), perceived sociability uncanniness based robot's humanlikeness (S5).

Language: Английский

Citations

1

PENGENDALIAN DIFFERENTIAL WHEELED MOBILE ROBOT UNTUK HUMAN FOLLOWING DOI Open Access

Alfretz Nehemia Mangapul,

Wahyudi Wahyudi, Hadha Afrisal

et al.

Transient Jurnal Ilmiah Teknik Elektro, Journal Year: 2023, Volume and Issue: 12(4), P. 159 - 164

Published: Dec. 4, 2023

Kemajuan teknologi robotika banyak dimanfaatkan untuk mempermudah manusia khususnya jenis pekerjaan yang bersifat beresiko, pola berulang dan melelahkan. robot beroda merupakan salah satu sering dikembangkan karena memungkinkan bergerak secara mudah dapat membawa suatu barang atau logistik. Pada bidang perhotelan, mobile digunakan dari tempat ke lain. Dengan mengambil strategi mengikuti pergerakan manusia, dilengkapi sensor kamera RGBD aktuator motor BLDC manusia. Pengendalian dua menggunakan pengendali PI pengendalian dalam P. Deteksi objek pada YOLOv8. Kecepatan dikendalikan dengan nilai persentase error steady state di bawah 3,41% tidak memiliki overshoot. Robot juga masih mendeteksi melakukan posisi optimal sampai jarak 2,5 m. skema perjalanan berjalan lurus sejauh 4 meter waktu rata-rata 12,05 detik berputar 90° 10,75 detik.

Citations

1

Satisfaction analysis of 5G remote ultrasound robot for diagnostics based on a structural equation model DOI Creative Commons

Zhi-Li Han,

Yumeng Lei,

Jing Yu

et al.

Frontiers in Robotics and AI, Journal Year: 2024, Volume and Issue: 11

Published: Oct. 9, 2024

Objectives With the increasing application of 5G remote ultrasound robots in healthcare, robust methods are critical demand to assess participant satisfaction and identify its influencing factors. At present, there is limited empirical research on multi-parametric multidimensional evaluation participants with robot examination. Previous studies have demonstrated that structural equation modeling (SEM) effectively integrates various statistical techniques examine relationships among multiple variables. Therefore, this study aimed evaluate examination factors using SEM. Methods Between April June 2022, 213 from Wuhan Automobile Manufacturing Company underwent examinations MGIUS-R3 system. After these examinations, evaluated performance based their personal experiences emotional responses. They completed a survey self-developed questionnaire, which included 19 items across five dimensions: efficiency, perception, communication value willingness. A SEM was established Results total 201 valid questionnaires were collected. The overall 45.43 ± 11.60, 169 (84%) expressing satisfaction. In path hypothesis relationship test, dimensions perception had positive effects satisfaction, standardized coefficients 0.168, 0.170, 0.175, 0.191. Satisfaction direct effect willingness, coefficient 0.260. Significant differences observed different educational levels Participants body mass indices also showed significant perception; all p -values less than 0.05. Conclusion study, identified as most factor It could be improved by enhancing participants’ understanding accuracy safety examinations. This enhances willingness undergo Such improvements not only facilitate widespread adoption technology but promote development telemedicine services.

Language: Английский

Citations

0

Artificial Intelligence and the Internet of Things in Recreation: A Systematic Literature Review DOI Open Access
Sinem Parlakyıldız, Sevim Kül Avan

Spor Bilimleri Araştırmaları Dergisi, Journal Year: 2024, Volume and Issue: 9(3), P. 374 - 388

Published: Oct. 26, 2024

This study aimed to examine the literature on use of artificial intelligence and Internet Things in field recreation leisure present results within themes identified inductively from data. We employed a systematic review methodology, consisting determining appropriate selection criteria, choosing data sources, extracting data, categorizing results, reporting. Using Web Science database, we total 69 articles published between 2017 2024. After filtering screening for keywords, 23 full-text related were included analysis. Relevant studies evaluated according year, journal, focus, country, type technology, area, obtained. Findings reviewed are discussed under six themes: safety, ecosystem, personalized experience, wearable health, potential areas. observed that most frequently investigated topic was recreational tourism, with general focus outdoor recreation. The often referred nature conservation planned safe personal time. In conclusion, determined technologies have various applications recreation, but relevant limited.

Language: Английский

Citations

0

The Future of Hotels Robotics, AI, and Service Automation in Practice DOI

Zhuoma Yan,

Rupam Konar, Kandappan Balasubramanian

et al.

Advances in e-business research series, Journal Year: 2024, Volume and Issue: unknown, P. 249 - 278

Published: Nov. 22, 2024

The chapter examines the implementation of Robotics, Artificial Intelligence, and Service Automation (RAISA) in hotel industry, focusing on their role improving operational efficiency customer experience. It highlights advantages RAISA, such as reduced costs, enhanced accuracy, service consistency, while addressing challenges like limited emotional engagement technical shortcomings human-robot interaction. COVID-19 pandemic accelerated RAISA adoption, prompting hotels to incorporate contactless technologies meet evolving expectations. However, concerns over a lack empathy adaptability remain, robots struggle replicate human social skills. offers solutions for optimizing use, including differentiating between tasks staff promoting collaboration. concludes with recommendations future research collaboration, privacy, ethics, RAISA's achieving sustainable development goals sector.

Language: Английский

Citations

0

Artificial Intelligence Adoption in Hospitality and Tourism: A Science Mapping Approach DOI
Dilip Kumar, Abhinav Kumar Shandilya, Sumit Kumar

et al.

GATR Global Journal of Business Social Sciences Review, Journal Year: 2024, Volume and Issue: 12(4), P. 209 - 217

Published: Dec. 30, 2024

Objective - Artificial intelligence (AI) is an emerging field in the service industry. To increase customer satisfaction either through customisation or personalisation and to counter challenge of finding skilled manpower, AI adoption hospitality tourism industry (H&TI) can be a milestone achievement. Methodology – This study applied combined approach performance analysis science mapping identify growth citation pattern, co-word thematic development based on literature published Scopus Web Science (WoS) databases since its evolution. Findings novelty Publication H&TI has taken manifold turn last five years. analysis, such as clustering, developed themes like interconnectivity, connectivity, experience, transformation, diversity, which help match growing expectations travelers business. Five central were article Bibliographic Coupling Analysis (BCA), highlighted critical information that lay foundation for move forward survive stay ahead this competitive market. Additionally, uncovered important authors, countries, organisation contributions, also generate information. Future researchers explore area unearth hidden Type Paper: Review JEL Classification: J24, Z32 Keywords: Intelligence, Hospitality, Robotics, mapping, Tourism Reference paper should referred follows: Kumar, D.; Shandilya, A.K, Shandilya; S. (2024). Intelligence Adoption Hospitality Tourism: A Mapping Approach, GATR-Global J. Bus. Soc. Sci. Review, 12(4), 209–217. https://doi.org/10.35609/gjbssr.2024.12.4(5)

Language: Английский

Citations

0

Factors Affecting Family Caregivers’ Behavioral Intention to Use Socially Assistive AI Robots for Elderly Care Within Their Own Home Environment DOI Creative Commons
Guan-Yu Lin,

Ji-Huan Ruan,

Yi‐Shun Wang

et al.

International Journal of Human-Computer Interaction, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 11

Published: Oct. 9, 2023

The necessity of socially assistive AI robots that can assist the elderly in their daily lives to mitigate burden family caregivers aged-care settings continues increase. However, there is a lack empirical research on drivers caregivers’ behavioral intention use these types within own home environment. This study investigates how adopt for members be predicted based utilitarian and hedonic attitudes, product smartness dimensions, conscientiousness with demographic characteristics as control variables. partial least squares structural equation modeling (PLS-SEM) method was used process data collected from 399 respondents. results show attitudes positively affect robots. Moreover, are influenced by ability cooperate, personality, conscientiousness, while autonomy, humanlike interaction, personality. Important implications developing adopting toward presented findings.

Language: Английский

Citations

0

PENGENDALIAN DIFFERENTIAL WHEELED MOBILE ROBOT UNTUK HUMAN FOLLOWING DOI Open Access

Alfretz Nehemia Mangapul,

Wahyudi Wahyudi, Hadha Afrisal

et al.

Transient Jurnal Ilmiah Teknik Elektro, Journal Year: 2023, Volume and Issue: 12(4), P. 159 - 164

Published: Dec. 4, 2023

Kemajuan teknologi robotika banyak dimanfaatkan untuk mempermudah manusia khususnya jenis pekerjaan yang bersifat beresiko, pola berulang dan melelahkan. robot beroda merupakan salah satu sering dikembangkan karena memungkinkan bergerak secara mudah dapat membawa suatu barang atau logistik. Pada bidang perhotelan, mobile digunakan dari tempat ke lain. Dengan mengambil strategi mengikuti pergerakan manusia, dilengkapi sensor kamera RGBD aktuator motor BLDC manusia. Pengendalian dua menggunakan pengendali PI pengendalian dalam P. Deteksi objek pada YOLOv8. Kecepatan dikendalikan dengan nilai persentase error steady state di bawah 3,41% tidak memiliki overshoot. Robot juga masih mendeteksi melakukan posisi optimal sampai jarak 2,5 m. skema perjalanan berjalan lurus sejauh 4 meter waktu rata-rata 12,05 detik berputar 90° 10,75 detik.

Citations

0