50 years of rovers for planetary exploration: A retrospective review for future directions

Sanguino, Tomás de Jesús Mateo

doi:10.1016/j.robot.2017.04.020

Cited by 55 publications

(25 citation statements)

References 36 publications

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“…For these reasons, Scopus was chosen to perform the bibliometric analysis in this study. Many recent publications have used Scopus to perform bibliometric studies: Judd [55]; Feng, Zhu, and Lai [56]; Mugomeri et al [57]; Mateo-Sanguino [58], and Kokol, Blazun-Vosner, and Zeleznik [59].…”

Section: Data and Processingmentioning

confidence: 99%

Mining Waste and Its Sustainable Management: Advances in Worldwide Research

et al. 2018

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Growing social awareness of the need to adequately treat mining waste in order to protect the environment has led to an increase in the research in this field. The aim of this study was to analyze the dynamics of the research focused on mining waste and its sustainable management on a worldwide scale from 1988 to 2017. A systematic review and a bibliometric analysis of 3577 articles were completed. The results show that research into mining waste has increased, with studies focusing on waste management accounting for almost 40% of the total. The most productive journals in this field were Applied Geochemistry and Science of the Total Environment. The five most productive countries were the United States, Canada, Spain, Australia, and China. Works on the sustainable management of mining waste were in the minority, but it is an area of research that has considerable potential given the growing social awareness of the environmental repercussions of mining activities and the demands for increasingly sustainable practices. The findings of this study could prove useful for studies into mine waste, as they depict a global view of this line of research.

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Section: Data and Processingmentioning

confidence: 99%

Mining Waste and Its Sustainable Management: Advances in Worldwide Research

et al. 2018

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“…Furthermore, Scopus is available for free [37]. The Scopus database has also been used in many previous bibliometric analysis [38][39][40][41][42].…”

Section: Data and Processingmentioning

confidence: 99%

Advances in Water Use Efficiency in Agriculture: A Bibliometric Analysis

Velasco-Muñoz

Aznar-Sánchez

Ureña

et al. 2018

Water

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Water use efficiency in agriculture (WUEA) has become a priority given increasing limitations on hydric resources. As a result, this area of research has increased in importance, becoming one of the most prolific lines of study. The main aim of this study was to present a review of worldwide WUEA research over the last 30 years. A bibliometric analysis was developed based on the Scopus database. The sample included 6063 articles. The variables analyzed were: articles per year, category, journal, country, institution, author, and keyword. The results indicate that a remarkable growth in the number of articles published per year is occurring. The main category is environmental science and the main journal Agricultural Water Management. The countries with the highest number of articles were China, the United States of America, and India. The institution that published the most articles was the Chinese Academy of Sciences and the authors from China also were the most productive. The most frequently used keywords were irrigation, crop yield, water supply, and crops. The findings of this study can assist researchers in this field by providing an overview of worldwide research.

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“…Rovers have been the most common vehicle choice for planetary exploration to date. However, they are designed to operate on relatively flat land [5]. As a result, other types of robots such as unmanned aerial vehicles (UAVs) and hydrobots are being proposed for more challenging environments and geographic features, including the atmospheres and oceans of celestial bodies [6].…”

Section: Introductionmentioning

confidence: 99%

Planetary Exploration With Robot Teams: Implementing Higher Autonomy With Swarm Intelligence

St-Onge

Kaufmann

Panerati

et al. 2020

IEEE Robot. Automat. Mag.

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Since the beginning of space exploration, Mars and the Moon have been explored with orbiters, landers, and rovers. Over forty missions have targeted Mars, and more than a hundred, the Moon. Developing novel strategies and technologies for exploring celestial bodies continues to be a focus of space agencies. Multi-robot systems are particularly promising for planetary exploration, as they are more robust to individual failure and have the potential to explore larger areas; however, there are limits to how many robots an operator can individually control. We recently took part in the European Space Agency's interdisciplinary equipment test campaign (PANGAEA-X) at a Lunar/Mars analogue site in Lanzarote, Spain. We used a heterogeneous fleet of Unmanned Aerial Vehicles (UAVs)-a swarm-to study the interplay of systems operations and human factors. Human operators directed the swarm via ad-hoc networks and data sharing protocols to explore unknown areas under two control modes: one in which the operator instructed each robot separately; and the other in which the operator provided general guidance to the swarm, which self-organized via a combination of distributed decision-making, and consensus building. We assessed cognitive load via pupillometry for each condition, and perceived task demand and intuitiveness via self-report. Our results show that implementing higher autonomy with swarm intelligence can reduce workload, freeing the operator for other tasks such as overseeing strategy, and communication. Future work will further leverage advances in swarm intelligence for exploration missions.

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50 years of rovers for planetary exploration: A retrospective review for future directions

Cited by 55 publications

References 36 publications

Mining Waste and Its Sustainable Management: Advances in Worldwide Research

Mining Waste and Its Sustainable Management: Advances in Worldwide Research

Advances in Water Use Efficiency in Agriculture: A Bibliometric Analysis

Planetary Exploration With Robot Teams: Implementing Higher Autonomy With Swarm Intelligence

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