Example of Journal of Robotics format
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Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format
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Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format Example of Journal of Robotics format
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open access Open Access

Journal of Robotics — Template for authors

Publisher: Hindawi
Categories Rank Trend in last 3 yrs
Computer Science (all) #80 of 226 up up by 12 ranks
Control and Systems Engineering #117 of 260 up up by 17 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 126 Published Papers | 351 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 26/06/2020
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Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

2.8

17% from 2019

CiteRatio for Journal of Robotics from 2016 - 2020
Year Value
2020 2.8
2019 2.4
2018 1.6
2017 1.5
2016 1.2
graph view Graph view
table view Table view

0.303

22% from 2019

SJR for Journal of Robotics from 2016 - 2020
Year Value
2020 0.303
2019 0.248
2018 0.245
2017 0.227
2016 0.185
graph view Graph view
table view Table view

1.352

78% from 2019

SNIP for Journal of Robotics from 2016 - 2020
Year Value
2020 1.352
2019 0.76
2018 0.846
2017 0.628
2016 0.524
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 17% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 22% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 78% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Journal of Robotics

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Hindawi

Journal of Robotics

Journal of Robotics is a peer-reviewed, open access journal that publishes original research articles as well as review articles in all areas of robotics.... Read More

Computer Science

i
Last updated on
25 Jun 2020
i
ISSN
1687-9600
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Acceptance Rate
35%
i
Frequency
Not provided
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
unsrt
i
Citation Type
Numbered
[25]
i
Bibliography Example
C. W. J. Beenakker. “Specular andreev reflection in graphene”. Phys. Rev. Lett., vol. 97, no. 6, 067007, 2006.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1155/2011/759764
Lower-Limb Robotic Rehabilitation: Literature Review and Challenges
Iñaki Díaz1, Jorge Juan Gil1, Emilio Jesús Lázaro Sánchez1
17 Nov 2011 - Journal of Robotics

Abstract:

This paper presents a survey of existing robotic systems for lower-limb rehabilitation. It is a general assumption that robotics will play an important role in therapy activities within rehabilitation treatment. In the last decade, the interest in the field has grown exponentially mainly due to the initial success of the earl... This paper presents a survey of existing robotic systems for lower-limb rehabilitation. It is a general assumption that robotics will play an important role in therapy activities within rehabilitation treatment. In the last decade, the interest in the field has grown exponentially mainly due to the initial success of the early systems and the growing demand caused by increasing numbers of stroke patients and their associate rehabilitation costs. As a result, robot therapy systems have been developed worldwide for training of both the upper and lower extremities. This work reviews all current robotic systems to date for lower-limb rehabilitation, as well as main clinical tests performed with them, with the aim of showing a clear starting point in the field. It also remarks some challenges that current systems still have to meet in order to obtain a broad clinical and market acceptance. read more read less

Topics:

Rehabilitation (53%)53% related to the paper
View PDF
465 Citations
open accessOpen access Journal Article DOI: 10.1155/2012/401613
Medical Robots: Current Systems and Research Directions
Ryan A. Beasley1
12 Aug 2012 - Journal of Robotics

Abstract:

First used medically in 1985, robots now make an impact in laparoscopy, neurosurgery, orthopedic surgery, emergency response, and various other medical disciplines. This paper provides a review of medical robot history and surveys the capabilities of current medical robot systems, primarily focusing on commercially available ... First used medically in 1985, robots now make an impact in laparoscopy, neurosurgery, orthopedic surgery, emergency response, and various other medical disciplines. This paper provides a review of medical robot history and surveys the capabilities of current medical robot systems, primarily focusing on commercially available systems while covering a few prominent research projects. By examining robotic systems across time and disciplines, trends are discernible that imply future capabilities of medical robots, for example, increased usage of intraoperative images, improved robot arm design, and haptic feedback to guide the surgeon. read more read less

Topics:

Medical robot (67%)67% related to the paper, Robot (54%)54% related to the paper, Robotic arm (54%)54% related to the paper, Haptic technology (52%)52% related to the paper
View PDF
260 Citations
open accessOpen access Journal Article DOI: 10.1155/2012/959013
Robotics Middleware: A Comprehensive Literature Survey and Attribute-Based Bibliography
07 May 2012 - Journal of Robotics

Abstract:

Autonomous robots are complex systems that require the interaction between numerous heterogeneous components (software and hardware). Because of the increase in complexity of robotic applications and the diverse range of hardware, robotic middleware is designed to manage the complexity and heterogeneity of the hardware and... Autonomous robots are complex systems that require the interaction between numerous heterogeneous components (software and hardware). Because of the increase in complexity of robotic applications and the diverse range of hardware, robotic middleware is designed to manage the complexity and heterogeneity of the hardware and applications, promote the integration of new technologies, simplify software design, hide the complexity of low-level communication and the sensor heterogeneity of the sensors, improve software quality, reuse robotic software infrastructure across multiple research efforts, and to reduce production costs. This paper presents a literature survey and attribute-based bibliography of the current state of the art in robotic middleware design. The main aim of the survey is to assist robotic middleware researchers in evaluating the strengths and weaknesses of current approaches and their appropriateness for their applications. Furthermore, we provide a comprehensive set of appropriate bibliographic references that are classified based on middleware attributes. read more read less

Topics:

Robotics middleware (72%)72% related to the paper, Middleware (68%)68% related to the paper, Software construction (58%)58% related to the paper, Robotic paradigms (58%)58% related to the paper, Literature survey (57%)57% related to the paper
View PDF
197 Citations
open accessOpen access Journal Article DOI: 10.1155/2018/5781591
Dynamic Path Planning of Unknown Environment Based on Deep Reinforcement Learning
Xiaoyun Lei1, Zhian Zhang1, Peifang Dong1
18 Sep 2018 - Journal of Robotics

Abstract:

Dynamic path planning of unknown environment has always been a challenge for mobile robots. In this paper, we apply double Q-network (DDQN) deep reinforcement learning proposed by DeepMind in 2016 to dynamic path planning of unknown environment. The reward and punishment function and the training method are designed for the i... Dynamic path planning of unknown environment has always been a challenge for mobile robots. In this paper, we apply double Q-network (DDQN) deep reinforcement learning proposed by DeepMind in 2016 to dynamic path planning of unknown environment. The reward and punishment function and the training method are designed for the instability of the training stage and the sparsity of the environment state space. In different training stages, we dynamically adjust the starting position and target position. With the updating of neural network and the increase of greedy rule probability, the local space searched by agent is expanded. Pygame module in PYTHON is used to establish dynamic environments. Considering lidar signal and local target position as the inputs, convolutional neural networks (CNNs) are used to generalize the environmental state. Q-learning algorithm enhances the ability of the dynamic obstacle avoidance and local planning of the agents in environment. The results show that, after training in different dynamic environments and testing in a new environment, the agent is able to reach the local target position successfully in unknown dynamic environment. read more read less

Topics:

Obstacle avoidance (56%)56% related to the paper, Reinforcement learning (56%)56% related to the paper, Motion planning (54%)54% related to the paper, Artificial neural network (53%)53% related to the paper
View PDF
100 Citations
open accessOpen access Journal Article DOI: 10.1155/2013/610589
Exoskeleton Technology in Rehabilitation: Towards an EMG-Based Orthosis System for Upper Limb Neuromotor Rehabilitation
12 Dec 2013 - Journal of Robotics

Abstract:

The rehabilitation of patients should not only be limited to the first phases during intense hospital care but also support and therapy should be guaranteed in later stages, especially during daily life activities if the patient’s state requires this. However, aid should only be given to the patient if needed and as much as i... The rehabilitation of patients should not only be limited to the first phases during intense hospital care but also support and therapy should be guaranteed in later stages, especially during daily life activities if the patient’s state requires this. However, aid should only be given to the patient if needed and as much as it is required. To allow this, automatic self-initiated movement support and patient-cooperative control strategies have to be developed and integrated into assistive systems. In this work, we first give an overview of different kinds of neuromuscular diseases, review different forms of therapy, and explain possible fields of rehabilitation and benefits of robotic aided rehabilitation. Next, the mechanical design and control scheme of an upper limb orthosis for rehabilitation are presented. Two control models for the orthosis are explained which compute the triggering function and the level of assistance provided by the device. As input to the model fused sensor data from the orthosis and physiology data in terms of electromyography (EMG) signals are used. read more read less

Topics:

Rehabilitation (53%)53% related to the paper
View PDF
79 Citations
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Journal of Robotics format uses unsrt citation style.

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Frequently asked questions

1. Can I write Journal of Robotics in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Journal of Robotics guidelines and auto format it.

2. Do you follow the Journal of Robotics guidelines?

Yes, the template is compliant with the Journal of Robotics guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Journal of Robotics?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Journal of Robotics citation style.

4. Can I use the Journal of Robotics templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Journal of Robotics.

5. Can I use a manuscript in Journal of Robotics that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Journal of Robotics that you can download at the end.

6. How long does it usually take you to format my papers in Journal of Robotics?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Journal of Robotics.

7. Where can I find the template for the Journal of Robotics?

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8. Can I reformat my paper to fit the Journal of Robotics's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Journal of Robotics an online tool or is there a desktop version?

SciSpace's Journal of Robotics is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

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11. What is the output that I would get after using Journal of Robotics?

After writing your paper autoformatting in Journal of Robotics, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Journal of Robotics's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Journal of Robotics?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Journal of Robotics. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Journal of Robotics?

The 5 most common citation types in order of usage for Journal of Robotics are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Journal of Robotics?

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16. Can I download Journal of Robotics in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Journal of Robotics Endnote style according to Elsevier guidelines.

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