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IEEE/RSJ International Conference on Intelligent Robots and Systems

IEEE/RSJ International Conference on Intelligent Robots and Systems

Detroit, United States

Submission Deadline: Wednesday 01 Mar 2023

Conference Dates: Oct 01, 2023 - Oct 05, 2023

Research
Impact Score 2.90

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 2.90
Contributing Best Scientists: 49
H5-index:
Papers published by Best Scientists 164
Research Ranking (Electronics and Electrical Engineering) 12
Research Ranking (Mechanical and Aerospace Engineering) 2

Conference Call for Papers

The theme of IROS 2023 is “The Next Generation of Robotics,” so the conference aims to particularly highlight the contributions of younger researchers and to help accelerate the future contributions of all those just entering the field. This will be reflected in plenary and keynote talks, workshops, tutorials, forums, competitions, exhibitions, tours, and technical sessions.

Overview

Top Research Topics at Intelligent Robots and Systems?

  • Robot (44.69%)
  • Artificial intelligence (41.45%)
  • Computer vision (28.28%)

The main research concerns discussed in Intelligent Robots and Systems are Robot, Artificial intelligence, Computer vision, Mobile robot and Control theory. The Robot works featured in it incorporate elements from Control engineering and Simulation. The Control engineering study featured in the event draws connections with the study of Control system.

Research on Simulation addressed in Intelligent Robots and Systems frequently intersections with the field of Torque. Artificial intelligence and Machine learning are closely related fields of research discussed in the conference. Intelligent Robots and Systems focuses on Computer vision but the discussions also offer insight into other areas such as Humanoid robot, Simultaneous localization and mapping and Position (vector).

The featured Mobile robot studies mainly concentrate on Human–computer interaction but also cover areas of interest in Task (project management). Topics in Control theory explored in it were investigated in conjunction with research in Kinematics and Motion control. The event dives deep in exploring the relationship between the study of Motion planning and Mathematical optimization.

What are the most cited papers published at the conference?

  • MuJoCo: A physics engine for model-based control (1922 citations)
  • VoxNet: A 3D Convolutional Neural Network for real-time object recognition (1830 citations)
  • A benchmark for the evaluation of RGB-D SLAM systems (1815 citations)

Research areas of the most cited articles at Intelligent Robots and Systems:

The conference publications aim to foster the development of research in Robot, Artificial intelligence, Mobile robot, Computer vision and Control theory. The conference articles facilitate discussions on Robot that incorporate concepts from other fields like Control engineering and Simulation. The most cited publications address concerns in Computer vision which are intertwined with other disciplines, such as Kalman filter and Simultaneous localization and mapping.

What topics the last edition of the conference is best known for?

  • Artificial intelligence
  • Mechanical engineering
  • Operating system

The previous edition focused in particular on these issues:

The conference covers a variety of subjects, including Artificial intelligence, Robot, Computer vision, Control theory and Task (project management). While Artificial intelligence is the focus of the conference, it also provided insights into the studies of Machine learning and Dynamics (music). The concepts on Robot presented in it can also apply to other research fields, including Control engineering, Control theory, Work (physics) and Segmentation.

While work presented in Intelligent Robots and Systems provided substantial information on Computer vision, it also covered topics in Frame (networking), Simultaneous localization and mapping and Vine. The studies on Control theory discussed can also contribute to research in the domains of Teleoperation and Model predictive control. It addresses concerns in Task (project management) which are intertwined with other disciplines, such as Robot learning, Simulation, Pre operative and Trajectory.

The most cited articles from the last conference are:

  • Sampling-Based MPC for Constrained Vision Based Control (0 citations)
  • Pre-operative Offline Optimization of Insertion Point Location for Safe and Accurate Surgical Task Execution (0 citations)
  • Task Driven Skill Learning in a Soft-Robotic Arm* (0 citations)

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Research.com

The top authors publishing at Intelligent Robots and Systems (based on the number of publications) are:

  • Masayuki Inaba (85 papers) absent at the last edition,
  • Roland Siegwart (81 papers) absent at the last edition,
  • Kei Okada (80 papers) absent at the last edition,
  • Wolfram Burgard (79 papers) absent at the last edition,
  • Darwin G. Caldwell (72 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at Intelligent Robots and Systems (based on the number of publications) are:

  • Carnegie Mellon University (353 papers) published 2 papers at the last edition, 50 less than at the previous edition,
  • Massachusetts Institute of Technology (272 papers) absent at the last edition,
  • University of Tokyo (220 papers) absent at the last edition,
  • Technische Universität München (205 papers) published 4 papers at the last edition, 10 less than at the previous edition,
  • Istituto Italiano di Tecnologia (188 papers) published 1 paper at the last edition, 17 less than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Research.com

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

Research.com

During the most recent 2021 edition, 6.25% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% were posted by at least one author from the top 10 institutions publishing at the conference. Another 20.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.00% of all publications and 26.67% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Research.com

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

Research.com

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

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Previous Editions

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