Advanced Robotics (Adv Robot)

Publisher: Robotics Society of Japan, Taylor & Francis

Journal description

The international journal of the Robotics Society of Japan. Published jointly with the Robotics Society of Japan. Advanced Robotics is the international bimonthly journal of the Robotics Society of Japan. The journal meets the demand for an international interdisciplinary journal which integrates publication of all aspects of research on robotics science and engineering with special emphasis being placed on work done in Japan. Although founded as the International Journal of the Robotics Society of Japan, researchers in every country are welcomed to submit papers for publication in the journal. Advanced Robotics publishes original research papers, short communications, reviews and reports. Issues contain papers on the analysis, design, implementation and use of robots in various areas such as manipulators, locomotion, sensors, actuators, materials, control, intelligence, language, software, man-machine systems and system architecture. The journal also covers aspects of social and managerial analysis and policy regarding robots.

Current impact factor: 0.57

Impact Factor Rankings

2016 Impact Factor Available summer 2017
2014 / 2015 Impact Factor 0.572
2013 Impact Factor 0.562
2012 Impact Factor 0.51
2011 Impact Factor 0.571
2010 Impact Factor 0.653
2009 Impact Factor 0.629
2008 Impact Factor 0.737
2007 Impact Factor 0.504
2006 Impact Factor 0.318
2005 Impact Factor 0.348
2004 Impact Factor 0.254
2003 Impact Factor 0.375
2002 Impact Factor 0.182
2001 Impact Factor 0.111
2000 Impact Factor 0.09
1999 Impact Factor 0.225
1998 Impact Factor 0.138
1997 Impact Factor 0.133
1996 Impact Factor 0.062

Impact factor over time

Impact factor

Additional details

5-year impact 0.65
Cited half-life 6.70
Immediacy index 0.05
Eigenfactor 0.00
Article influence 0.21
Website Advanced Robotics website
Other titles Advanced robotics, Advanced robotics online
ISSN 1568-5535
OCLC 67249706
Material type Periodical
Document type Journal / Magazine / Newspaper

Publisher details

Taylor & Francis

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Some individual journals may have policies prohibiting pre-print archiving
    • On author's personal website or departmental website immediately
    • On institutional repository or subject-based repository after either 12 months embargo
    • Publisher's version/PDF cannot be used
    • On a non-profit server
    • Published source must be acknowledged
    • Must link to publisher version
    • Set statements to accompany deposits (see policy)
    • The publisher will deposit in on behalf of authors to a designated institutional repository including PubMed Central, where a deposit agreement exists with the repository
    • STM: Science, Technology and Medicine
    • Publisher last contacted on 25/03/2014
    • This policy is an exception to the default policies of 'Taylor & Francis'
  • Classification

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents a comparative analysis of three degrees of freedom (DOF) planar parallel robotic manipulators (x, y and motion platforms) namely 2PRP-PPR, 2PRR-PPR, 3PPR (Hybrid), 3PRP (Hephaist) and 3PPR U-base in terms of optimal kinematic design performance, static structural stiffness and dynamic performance (energy and power consumption). Kinematic and dynamic performance analyses of these platforms have been done using multibody dynamics software (namely ADAMS/View). Static stiffness of the above mentioned manipulators have been analysed, compared using the conventional joint space Jacobian stiffness matrix method and, this method has been verified through a standard finite element software (namely NASTRAN) as well. The size of the fixed base or aspect ratio (width/height) can be varied for various working conditions to understand its design parameters and optimal design aspects which are depending on the fixed base structure. Different aspect ratios (fixed base size) are considered for the comparative analyses of isotropy, manipulability and stiffness for the above mentioned planar parallel manipulators. From the numerical simulation results, it is observed that the 2PRP-PPR manipulator is associated with a few favourable optimum design aspects such as singularity free workspace, better manipulability, isotropy, higher stiffness and better dynamic performance in terms of power and energy requirement as compared to other planar parallel manipulators.
    No preview · Article · Jan 2016 · Advanced Robotics

  • No preview · Article · Jul 2015 · Advanced Robotics

  • No preview · Article · Jul 2015 · Advanced Robotics
  • [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, a simple yet proficient approach for the recognition of Human Action and Activity is presented. This method is based on the integration of translation and rotation of the human body. The proposed framework under goes three major steps: i) the shape of human action/activity is represented through the computation of average energy images using edge spatial distribution of gradients along with the directional variation of the pixel values, ii) The orientation based rotational information of the human action is computed through R–transform, iii) A descriptor is developed by fusion of translational features with rotational features. The fusion of features possesses the advantages exhibited by both local and global features of the silhouette and thus provides the discriminating feature representation for human activity recognition. The performance of descriptor is evaluated through a hybrid approach of support vector machine (SVM) and nearest neighbour (NN) classifiers on standard dataset. The proposed method has shown superior results in terms of recognition accuracy in comparison with other state-of-the-art methods.
    No preview · Article · Jun 2015 · Advanced Robotics
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    ABSTRACT: This study proposed an online reference governor for a mobile robot to reduce the occurrence of control input saturation. For following the trajectory by a mobile robot, it is one of the practical subjects to provide appropriate control reference even if any disturbances occur. We proposed a methodology to regulate the control reference iteratively based on time-scaling approach. The time-scaling approach is a method to realize to regulate time development characteristic on the given trajectory. It is difficult to model the effect of the interaction with the road surface and the trajectory tracking error is appeared as the amount of accumulated such factors. Therefore, it is a practical approach to reduce the occurrence of control input saturation based on the evaluation of the trajectory tracking error. Proposed reference governor realizes online time scaling based on the trajectory tracking error index and a smooth transition dynamics. By introducing the proposed method, the occurrence of control input saturation can be reduced in case of that the disturbances occur. For verification of our proposed method, computer simulations utilizing a stable velocity controller were conducted and the results were discussed.
    No preview · Article · Jan 2015 · Advanced Robotics
  • [Show abstract] [Hide abstract]
    ABSTRACT: pherical robots provide an exploration platform that enables the access to inaccessible or dangerous places to people. These robots are also capable of hiding their components inside themselves, protecting in that way their integrity. Even though these robots are capable of moving over irregular surfaces, they face difficulties when moving over surfaces with hollows, stairs, or slopes. We propose a sea urchin-like robot, a spherical robot equipped with retractable devices within its body. This robot overcomes some disadvantages of spherical robots, concerning namely locomotion over irregular surfaces. The robot is capable of moving over irregular surfaces with hollows up to of its diameter, a significant gain to the known constraint of objects and hollows of 1/10 of their diameter that traditional spherical robots are able to deal with. The main contribution of this work is a model of a flexible vehicle able to traverse irregular surfaces required in remote sensing missions.
    No preview · Article · Nov 2014 · Advanced Robotics
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    ABSTRACT: In this paper, a hierarchical multi-classification approach using support vector machines (SVM) has been proposed for road intersection detection and classification. Our method has two main steps. The first involves the road detection. For this purpose, an edge-based approach has been developed using the bird’s eye view image which is mapped from the perspective view of the road scene. Then, the concept of vertical spoke has been introduced for road boundary form extraction. The second step deals with the problem of road intersection detection and classification. It consists on building a hierarchical SVM classifier of the extracted road forms using the unbalanced decision tree architecture. Many measures are incorporated for good evaluation of the proposed solution. The obtained results are compared to those of Choi et al. (2007).
    No preview · Article · Jul 2014 · Advanced Robotics
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    ABSTRACT: In position control of mechatronic devices, velocity feedback is important for injecting additional damping to avoid low-frequency fluctuation around desired trajectories. In practice, velocity signal is often obtained by finite difference of position signal from an optical encoder. However, such a numerical differentiation produces high-frequency noise by magnifying quantization error contained in the position signal. As a result, the controller may produce high-frequency vibration. This paper presents a new noise-reduction discrete-time filter based on sliding mode and adaptive windowing. The presented filter is an improved version of a sliding mode filter by Jin et al. (2012), with including adaptive windowing of which the window size is determined in a similar way to that of a discrete-time adaptive windowing differentiator by Janabi-Sharifi et al. (2000). The presented filter is then applied to a position control of a mechatronic device for improving velocity feedback. Experimental results show that the presented filter provides better velocity feedback than its previous version, Janabi-Sharifi et al.’s differentiator, and combinations of these two filters.
    No preview · Article · Jul 2014 · Advanced Robotics

  • No preview · Article · Jun 2014 · Advanced Robotics
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    ABSTRACT: We propose control of a snake robot that can switch lifting parts dynamically according to kinematics. Snakes lift parts of their body and dynamically switch lifting parts during locomotion: e.g. sinus-lifting and sidewinding motions. These characteristic types of snake locomotion are used for rapid and efficient movement across a sandy surface. However, optimal motion of a robot would not necessarily be the same as that of a real snake as the features of a robot’s body are different from those of a real snake. We derived a mathematical model and designed a controller for the three-dimensional motion of a snake robot on a two-dimensional plane. Our aim was to accomplish effective locomotion by selecting parts of the body to be lifted and parts to remain in contact with the ground. We derived the kinematic model with switching constraints by introducing a discrete mode number. Next, we proposed a control strategy for trajectory tracking with switching constraints to decrease cost function, and to satisfy the conditions of static stability. In this paper, we introduced a cost function related to avoidance of the singularity and the moving obstacle. Simulations and experiments demonstrated the effectiveness of the proposed controller and switching constraints.
    No preview · Article · Jan 2014 · Advanced Robotics
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    ABSTRACT: The real-world applicability of modern computer vision and recognition applications is limited by its real-time performance. Hardware-based systems can provide fast solutions for real-time limited problems; however, hardware-friendly solutions usually lack the flexibility to handle highly complex tasks. On the other hand, software-based solutions are used to tackle complex tasks and allow for greater flexibility but lack the speeds which hardware systems can provide. Inspired by the function of the human memory, we propose a hardware-accelerated multi-prototype and nearest neighbor (NN) search-based learning and classification system, which overcomes these flexibility limitations. A major deficiency for NN-based implementations is the computational demand for the searching and clustering processes. An FPGA-implemented coprocessor architecture for the Euclidean distance search was designed to resolve this deficiency. We benchmarked the system on the complex application of human detection. The experimental results revealed that the system outperformed other implementations by significantly reducing training times and attained a per sample detection speed of 2.24μs.
    No preview · Article · Jan 2014 · Advanced Robotics