Autonomous Delivery Robots: A Literature Review

Hossain, Mokter

doi:10.1109/emr.2023.3304848

Cited by 10 publications

(4 citation statements)

References 68 publications

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“…Positive emotions, such as attitudes and trust, have been demonstrated to profoundly impact purchasing behaviour, retailer loyalty, and the formation of word-of-mouth (Liu et al, 2023;Wang et al, 2022). However, the emotional factors vary across different countries and segments (Hossain, 2023). Therefore, managers need to understand these underlying emotional determinants in order to formulate policies and provide maximum benefits.…”

Section: Discussionmentioning

confidence: 99%

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Evolution and trends in retailing: insights from International Journal of Retail & Distribution Management

Wang,

Cheah,

Lim

et al. 2024

IJRDM

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PurposeThis study aims to embark on a bibliometric journey through the International Journal of Retail & Distribution Management (IJR&DM) to delve into its rich repository of applied retailing research.Design/methodology/approach626 publications in IJR&DM between 2015 and 2023 have been retrieved from Scopus for performance analysis of the journal’s publication (productivity) and citation (impact) trends as well as a science mapping of the journal’s collaborators (contributors) and major themes (contributions).FindingsThe performance analysis highlights the growth in the productivity and impact of IJR&DM alongside its most cited publications, most prolific contributors, most relied-on journals, as well as the authors, institutions, countries, and journals that the journal has impacted the most. The co-authorship analysis reveals the collaboration (i.e., international with a high concentration in Europe and North America along with an emerging presence in Asia) of IJR&DM. Keyword co-occurrence analysis and bibliographic coupling reveal eight themes. Our exploration revealed close interconnections among various domains including retailing and adaptive strategies, channel strategies, customer experience, market innovations, operations management, relationship marketing, shopping motivation, and sustainability.Research limitations/implicationsAlthough this study delivers a state-of-the-art overview of the retail industry through the scientific contributions from IJR&DM, it remains limited to the insights from a single authoritative source of knowledge on retailing.Originality/valueNo review, to date, has been conducted for IJR&DM. This study provides the inaugural retrospective of the scientific contributions of IJR&DM, outlining publication and citation trends alongside the intellectual structure of its body of knowledge on retailing. Theoretically, this retrospective is pivotal in charting the intellectual growth and thematic nuances inherent in retail research. Practically, this study serves as a guide for practitioners, enabling them to make strategically informed decisions and craft forward-looking strategies in sync with current realities.

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Section: Discussionmentioning

confidence: 99%

“…, 2022). However, the emotional factors vary across different countries and segments (Hossain, 2023). Therefore, managers need to understand these underlying emotional determinants in order to formulate policies and provide maximum benefits.…”

Section: Discussionmentioning

confidence: 99%

Evolution and trends in retailing: insights from International Journal of Retail & Distribution Management

Wang,

Cheah,

Lim

et al. 2024

IJRDM

View full text Add to dashboard Cite

show abstract

“…Hossain [32] provided a comprehensive review of the literature on autonomous delivery robots (ADRs), encompassing both academic and non-academic sources. It synthesizes insights from 138 articles, categorizing ADRs into three forms: Sidewalk Autonomous Delivery Robots (SADR), Road Autonomous Delivery Robots (RADR), and mothership van models.…”

Section: Related Workmentioning

confidence: 99%

Intelligent Robotics—A Systematic Review of Emerging Technologies and Trends

Licardo,

Domjan,

Orehovački

2024

Electronics

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Intelligent robotics has the potential to revolutionize various industries by amplifying output, streamlining operations, and enriching customer interactions. This systematic literature review aims to analyze emerging technologies and trends in intelligent robotics, addressing key research questions, identifying challenges and opportunities, and proposing the best practices for responsible and beneficial integration into various sectors. Our research uncovers the significant improvements brought by intelligent robotics across industries such as manufacturing, logistics, tourism, agriculture, healthcare, and construction. The main results indicate the importance of focusing on human–robot collaboration, ethical considerations, sustainable practices, and addressing industry-specific challenges to harness the opportunities presented by intelligent robotics fully. The implications and future directions of intelligent robotics involve addressing both challenges and potential risks, maximizing benefits, and ensuring responsible implementation. The continuous improvement and refinement of existing technology will shape human life and industries, driving innovation and advancements in intelligent robotics.

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“…As technology advances, the demand for mobile robots has increased due to their tasks and services, such as carrying heavy objects, cleaning, and search and rescue missions [4,5]. For example, mobile robots, which are adept at smart path planning and collision risk reduction, are ideal for intelligent logistics and distribution applications [6][7][8]. Mobile robots are thriving in agriculture, thanks to their autonomous movement and yield prediction capabilities [9].…”

Section: Introductionmentioning

confidence: 99%

An Improved Genetic Method for Satellite Selection in Multi-Global Navigation Satellite System Positioning for Mobile Robots

Li,

Qiu,

Jiang

et al. 2024

Electronics

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Mobile robots have been widely engaged in many fields. To obtain the precise and consistent localization of mobile robots, the Global Navigation Satellite System (GNSS) is often employed. With the continuous development and modernization of GNSS, more tracked satellites can be used for multi-GNSS positioning calculation, which can improve the positioning performance and enhance accuracy. However, it also increases computational complexity. Therefore, a satellite selection method, which selects a subset from all visible satellites, is necessary. In multi-GNSS positioning, the geometric dilution of precision (GDOP) is an essential metric for satellite selection. However, the traditional traversal method requires a large amount of solution resources. In this paper, we proposed an improved genetic algorithm for satellite selection. By defining the maturity factor (MF) to guide the crossover and mutation operators, the search performance is guaranteed while reducing unnecessary crossover and mutation operations, thus reducing the search time. By adopting the previous epoch optimal individual inheritance strategy, the satellite selection results of subsequent epochs under continuous epochs have been improved. The experimental results verify the effectiveness of the proposed method.

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Autonomous Delivery Robots: A Literature Review

Cited by 10 publications

References 68 publications

Evolution and trends in retailing: insights from International Journal of Retail & Distribution Management

Evolution and trends in retailing: insights from International Journal of Retail & Distribution Management

Intelligent Robotics—A Systematic Review of Emerging Technologies and Trends

An Improved Genetic Method for Satellite Selection in Multi-Global Navigation Satellite System Positioning for Mobile Robots

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