Comprehensive Review on Reaching and Grasping of Objects in Robotics

Robotica ◽  
2021 ◽  
pp. 1-34
Author(s):  
Qaid Mohammed Marwan ◽  
Shing Chyi Chua ◽  
Lee Chung Kwek
Keyword(s):  
Extensive Review ◽  
Object Type ◽  
Research Directions ◽  
End Effector ◽  
Comprehensive Review ◽  
Reaching Tasks ◽  
Research Studies

SUMMARY Interaction between a robot and its environment requires perception about the environment, which helps the robot in making a clear decision about the object type and its location. After that, the end effector will be brought to the object’s location for grasping. There are many research studies on the reaching and grasping of objects using different techniques and mechanisms for increasing accuracy and robustness during grasping and reaching tasks. Thus, this paper presents an extensive review of research directions and topics of different approaches such as sensing, learning and gripping, which have been implemented within the current five years.

scholarly journals Energy Efficiency in Short and Wide-Area IoT Technologies—A Survey

Technologies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 22
Author(s):  
Eljona Zanaj ◽  
Giuseppe Caso ◽  
Luca De Nardis ◽  
Alireza Mohammadpour ◽  
Özgü Alay ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Low Power ◽  
Energy Efficient ◽  
Wide Area ◽  
Wide Area Networks ◽  
The Internet ◽  
Extensive Review ◽  
Research Directions ◽  
The Internet Of Things

In the last years, the Internet of Things (IoT) has emerged as a key application context in the design and evolution of technologies in the transition toward a 5G ecosystem. More and more IoT technologies have entered the market and represent important enablers in the deployment of networks of interconnected devices. As network and spatial device densities grow, energy efficiency and consumption are becoming an important aspect in analyzing the performance and suitability of different technologies. In this framework, this survey presents an extensive review of IoT technologies, including both Low-Power Short-Area Networks (LPSANs) and Low-Power Wide-Area Networks (LPWANs), from the perspective of energy efficiency and power consumption. Existing consumption models and energy efficiency mechanisms are categorized, analyzed and discussed, in order to highlight the main trends proposed in literature and standards toward achieving energy-efficient IoT networks. Current limitations and open challenges are also discussed, aiming at highlighting new possible research directions.

scholarly journals Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification

2020 ◽  
Author(s):  
Zheng Wang ◽  
Zhixiang Wang ◽  
Yinqiang Zheng ◽  
Yang Wu ◽  
Wenjun Zeng ◽  
...  
Keyword(s):  
Video Analysis ◽  
State Of The Art ◽  
Future Research ◽  
Low Resolution ◽  
Research Directions ◽  
Comprehensive Review ◽  
Practical Applications ◽  
Future Research Directions

An efficient and effective person re-identification (ReID) system relieves the users from painful and boring video watching and accelerates the process of video analysis. Recently, with the explosive demands of practical applications, a lot of research efforts have been dedicated to heterogeneous person re-identification (Hetero-ReID). In this paper, we provide a comprehensive review of state-of-the-art Hetero-ReID methods that address the challenge of inter-modality discrepancies. According to the application scenario, we classify the methods into four categories --- low-resolution, infrared, sketch, and text. We begin with an introduction of ReID, and make a comparison between Homogeneous ReID (Homo-ReID) and Hetero-ReID tasks. Then, we describe and compare existing datasets for performing evaluations, and survey the models that have been widely employed in Hetero-ReID. We also summarize and compare the representative approaches from two perspectives, i.e., the application scenario and the learning pipeline. We conclude by a discussion of some future research directions. Follow-up updates are available at https://github.com/lightChaserX/Awesome-Hetero-reID

Developing an Integration Framework for Crowdsourcing and Internet of Things With Applications for Disaster Response

2019 ◽  
pp. 274-283
Author(s):  
Rameshwar Dubey
Keyword(s):  
Internet Of Things ◽  
Disaster Response ◽  
Information Age ◽  
Extensive Review ◽  
Research Strategies ◽  
Research Directions ◽  
Policy Makers ◽  
Integration Framework ◽  
Godavari River ◽  
Research Findings

The crowdsourcing and Internet of Things (IoT) have played a significant role in revolutionizing the information age. In response to pressing need, we have attempted to develop a theoretical framework which can help disaster relief workers to improve their coordination using valuable information derived using comprehensive crowdsourcing framework. In this study we have used two-prong research strategies. First we have conducted extensive review of articles published in reputable journals, magazines and blogs by eminent practitioners and policy makers followed by case studies: stampede in Godavari River at Rajahmundry (2015), earthquake in Nepal (2015), flood in Uttarakhand (2013). Finally we have concluded our research findings with further research directions.

Corporate Sustainability

2021 ◽  
pp. 26-43
Author(s):  
Iwona Bąk ◽  
Katarzyna Cheba
Keyword(s):  
Qualitative Research ◽  
Literature Review ◽  
Corporate Sustainability ◽  
Business Organizations ◽  
Research Directions ◽  
Comprehensive Review ◽  
Research Areas ◽  
Quantitative Analyses ◽  
Insight Into ◽  
The Web

This research provides a comprehensive review of corporate sustainability literature in various application areas. The chapter also highlights the gaps in clearly explaining the scope for it extending and incorporating the term of corporate sustainability into other research areas. The main advantage of this study is that it provides an insight into the state of the art of corporate sustainability in various application areas and future development and research directions. In addition to the literature review in this area, the chapter also presents numerous examples of the understanding of corporate sustainability by various business organizations. The chapter analyses nearly 200 different publications in this field available in the Web of Science database. In addition to quantitative analyses, in-depth qualitative research was also carried out.

scholarly journals Graph Neural Networks: Taxonomy, Advances, and Trends

2022 ◽  
Vol 13 (1) ◽  
pp. 1-54
Author(s):  
Yu Zhou ◽  
Haixia Zheng ◽  
Xin Huang ◽  
Shufeng Hao ◽  
Dengao Li ◽  
...  
Keyword(s):  
Neural Networks ◽  
Real World ◽  
Research Community ◽  
Future Research ◽  
Research Directions ◽  
Comprehensive Review ◽  
Future Research Directions ◽  
Graph Neural Networks ◽  
Low Dimensional

Graph neural networks provide a powerful toolkit for embedding real-world graphs into low-dimensional spaces according to specific tasks. Up to now, there have been several surveys on this topic. However, they usually lay emphasis on different angles so that the readers cannot see a panorama of the graph neural networks. This survey aims to overcome this limitation and provide a systematic and comprehensive review on the graph neural networks. First of all, we provide a novel taxonomy for the graph neural networks, and then refer to up to 327 relevant literatures to show the panorama of the graph neural networks. All of them are classified into the corresponding categories. In order to drive the graph neural networks into a new stage, we summarize four future research directions so as to overcome the challenges faced. It is expected that more and more scholars can understand and exploit the graph neural networks and use them in their research community.

scholarly journals Privacy Protection and Secondary Use of Health Data: Strategies and Methods

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Dingyi Xiang ◽  
Wei Cai
Keyword(s):  
Big Data ◽  
Privacy Protection ◽  
Health Data ◽  
Future Research ◽  
Research Directions ◽  
Comprehensive Review ◽  
Secondary Use ◽  
Potential Value ◽  
Preferred Direction ◽  
Future Research Directions

Health big data has already been the most important big data for its serious privacy disclosure concerns and huge potential value of secondary use. Measurements must be taken to balance and compromise both the two serious challenges. One holistic solution or strategy is regarded as the preferred direction, by which the risk of reidentification from records should be kept as low as possible and data be shared with the principle of minimum necessary. In this article, we present a comprehensive review about privacy protection of health data from four aspects: health data, related regulations, three strategies for data sharing, and three types of methods with progressive levels. Finally, we summarize this review and identify future research directions.

scholarly journals Myocardial infarction with non-obstructive coronary arteries: A comprehensive review and future research directions

2019 ◽  
Vol 11 (12) ◽  
pp. 305-315 ◽  
Author(s):  
Rafael Vidal-Perez ◽  
Charigan Abou Jokh Casas ◽  
Rosa Maria Agra-Bermejo ◽  
Belén Alvarez-Alvarez ◽  
Julia Grapsa ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Coronary Arteries ◽  
Future Research ◽  
Research Directions ◽  
Comprehensive Review ◽  
Future Research Directions

scholarly journals Advances in Rosin-Based Chemicals: the Latest Recipes, Applications and Future Trends

Molecules ◽  
2019 ◽  
Vol 24 (9) ◽  
pp. 1651 ◽  
Author(s):  
Szymon Kugler ◽  
Paula Ossowicz ◽  
Kornelia Malarczyk-Matusiak ◽  
Ewa Wierzbicka
Keyword(s):  
Biomedical Applications ◽  
Scientific Literature ◽  
Critical Evaluation ◽  
Research Area ◽  
Raw Material ◽  
Future Trends ◽  
Extensive Review ◽  
Comprehensive Review ◽  
Current Article ◽  
Curing Agents

A comprehensive review of the publications about rosin-based chemicals has been compiled. Rosin, or colophony, is a natural, abundant, cheap and non-toxic raw material which can be easily modified to obtain numerous useful products, which makes it an excellent subject of innovative research, attracting growing interest in recent years. The last extensive review in this research area was published in 2008, so the current article contains the most promising, repeatable achievements in synthesis of rosin-derived chemicals, published in scientific literature from 2008 to 2018. The first part of the review includes low/medium molecule weight compounds: Especially intermediates, resins, monomers, curing agents, surfactants, medications and biocides. The second part is about macromolecules: mainly elastomers, polymers for biomedical applications, coatings, adhesives, surfactants, sorbents, organosilicons and polysaccharides. In conclusion, a critical evaluation of the publications in terms of data completeness has been carried out with an indication of the most promising directions of rosin-based chemicals development.

Developing an Integration Framework for Crowdsourcing and Internet of Things With Applications for Disaster Response

Crowdsourcing ◽  
2019 ◽  
pp. 236-245
Author(s):  
Rameshwar Dubey
Keyword(s):  
Internet Of Things ◽  
Disaster Response ◽  
Information Age ◽  
Extensive Review ◽  
Research Strategies ◽  
Research Directions ◽  
Policy Makers ◽  
Integration Framework ◽  
Godavari River ◽  
Research Findings

The crowdsourcing and Internet of Things (IoT) have played a significant role in revolutionizing the information age. In response to pressing need, we have attempted to develop a theoretical framework which can help disaster relief workers to improve their coordination using valuable information derived using comprehensive crowdsourcing framework. In this study we have used two-prong research strategies. First we have conducted extensive review of articles published in reputable journals, magazines and blogs by eminent practitioners and policy makers followed by case studies: stampede in Godavari River at Rajahmundry (2015), earthquake in Nepal (2015), flood in Uttarakhand (2013). Finally we have concluded our research findings with further research directions.

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