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:1.20
Contributing Best Scientists:12
H5-index:
Papers published by Best Scientists46
Research Ranking (Electronics and Electrical Engineering)38
Research Ranking (Mechanical and Aerospace Engineering)21
Conference Call for Papers
Important dates [TENTATIVE]
Jul. 1, 2022 Regular paper submission deadline
Jul. 8, 2022 Workshop/Tutorial proposal submission deadline
Sep. 19, 2022 Notification of acceptance of regular paper
Sep. 19, 2022 Notification of acceptance of Workshops/Tutorials
Oct. 11, 2022 Final paper submission deadline
Hard experiences including large-scale disasters, racial clashes and the pandemic have forced us to think about humanity. It means compassion for others, which leads to activities to make the world comfortable for anyone. We wish that the humanoid robots will be artifacts that do not only resemble humans but embody the humanity. The questions for us to consider are what functionalities and capabilities should be delivered through them for the humanity with what criteria the body, the information processing, and the behavior of them should be designed based on. The conference would like to provide the place for discussions about technologies that realize the first humanoid robots going into our world, which is backed up by the gradually lowered social barrier against them.
The conference invites paper contributions and workshop/tutorial proposals, which are expected to be related with but not limited to:
Materials, devices, and mechanisms for humanoids
Hardware design criteria for anthropomorphism
Theory and computation techniques of kinematics and dynamics
Whole-body control for locomotion and manipulation
Sensing, perception, and cognition of body and world
Theory and computation techniques for adaptation and learning
Informatics and architecture for behavior planning and synthesis
Teleoperation and telepresence using humanoids
Measuring, modeling and simulating humans
Human science through humanoid robots
Interfaces between humanoid robots and humans
Cyborgs, prostheses, and assistive devices for humans
Application case studies of humanoid robots in society
Accepted papers will be presented either at a single track oral session or during poster sessions. All the accepted papers will appear in the proceedings of the conference without distinction and on IEEE Xplore.
All submissions must be done electronically via PaperPlaza.
RA-L papers with Humanoids presentation option shall be submitted no later than TBA Pacific time.
Papers shall be submitted before the deadline on TBA Pacific time.
Final submissions of all accepted papers are due on TBA.
Download template slide for conference digest: [Powerpoint Template Slide]
Option 1: Submission to IEEE Robotics and Automation Letters (RA-L) with Humanoids presentation option
Detailed information about paper submission to IEEE Robotics and Automation Letter can be found at http://www.ieee-ras.org/publications/ra-l. Papers accepted by RA-L with Humanoids presentation option will be presented at the conference and published in RA Letters.
Please follow the RA-L submission process on PaperPlaza for IEEE RA-L Submission and select Submission for RA-L and Humanoids. Please do not follow the Humanoids 2022 submission process.
Paper format:
Length: 6(+2) pages including figures and references. For page 7 and 8 an overlength page charge will apply.
Additional multimedia attachment (video, data) is possible. Please see the RAL page for more details.
RAL Manuscript templates
Latex and word templates can be found here: https://www.ieee-ras.org/publications/ra-l/information-for-authors-ra-l
Notice that RAL papers cannot be re-uploaded after the initial paper submission.
Option 2: Submission as a regular Humanoids 2022 conference paper
Papers have to be submitted via PaperPlaza.
Paper format
Two-column format in the IEEE style.
Submitted as a single PDF file (max. 5MB)
Length: 6(+2) pages including figures and references. For page 7 and 8 an overlength page charge will apply.
Additional multimedia attachment (up to 10 MB) is possible until 5 days after the deadline. Please upload a single file with the extension mpeg, mpg or mp4.
Manuscript templates
Latex
Microsoft Word
Papers submitted as regular conference papers can be re-uploaded multiple times in Paperplaza before the submission deadline.
Overview
Top Research Topics at IEEE-RAS International Conference on Humanoid Robots?
Robot (59.55%)
Humanoid robot (55.62%)
Artificial intelligence (47.13%)
IEEE-RAS International Conference on Humanoid Robots investigates areas of study like Robot, Humanoid robot, Artificial intelligence, Computer vision and Control theory.
The research on Robot tackled can also make contributions to studies in the areas of Task (project management), Simulation and Human–computer interaction.
While IEEE-RAS International Conference on Humanoid Robots focused on Humanoid robot, it was also able to explore topics like Kinematics, Robot kinematics, Robot control, Mobile robot and Motion control.
Discussions in it are anchored in the subject of Robot kinematics and the similar topic of Inverse kinematics.
The study on Robot control presented in the conference intersects with the topics under Robot end effector.
The work on Artificial intelligence addressed in it expands to the thematically related GRASP.
The concepts on Computer vision presented in IEEE-RAS International Conference on Humanoid Robots can also apply to other research fields, including iCub and Tactile sensor.
Control theory, Trajectory, Torque, Inverted pendulum and Actuator are Control theory topics of special interest in IEEE-RAS International Conference on Humanoid Robots.
The Social robot study featured in IEEE-RAS International Conference on Humanoid Robots draws connections with the study of Personal robot.
What are the most cited papers published at the conference?
Capture Point: A Step toward Humanoid Push Recovery (764 citations)
Trajectory Free Linear Model Predictive Control for Stable Walking in the Presence of Strong Perturbations (395 citations)
ARMAR-III: An Integrated Humanoid Platform for Sensory-Motor Control (330 citations)
Research areas of the most cited articles at IEEE-RAS International Conference on Humanoid Robots:
Humanoid robot, Robot, Artificial intelligence, Computer vision and Control theory are the main subjects of interest in the most cited papers.
The most cited papers facilitate discussions on Humanoid robot that incorporate concepts from other fields like Robot kinematics, Robot control, Mobile robot, Motion control and Simulation.
The most cited articles with studies in Artificial intelligence featured incorporate elements of Task (project management) and Human–computer interaction.
What topics the last edition of the conference is best known for?
Artificial intelligence
Robot
Operating system
The previous edition focused in particular on these issues:
The primary areas of discussion in the conference are Robot, Humanoid robot, Control theory, Artificial intelligence and Trajectory.
The work on Robot tackled in it brings together disciplines like Task (project management), Torque and Human–computer interaction.
The studies on Humanoid robot discussed can also contribute to research in the domains of Object detection, Quadratic programming, Simulation and Actuator.
The studies in Control theory featured incorporate elements of Work (physics), Kinematics and Model predictive control.
The research on Artificial intelligence featured in the conference combines topics in other fields like Machine learning and Computer vision.
In addition to Trajectory research, IEEE-RAS International Conference on Humanoid Robots aims to explore topics under Stability (learning theory), Gait (human) and Mathematical optimization.
The most cited articles from the last conference are:
TALOS: A new humanoid research platform targeted for industrial applications (55 citations)
Real-time motion planning of legged robots: A model predictive control approach (50 citations)
Approximate hybrid model predictive control for multi-contact push recovery in complex environments (46 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
Top authors and change over time
The top authors publishing at IEEE-RAS International Conference on Humanoid Robots (based on the number of publications) are:
Tamim Asfour (43 papers) published 5 papers at the last edition, 1 more than at the previous edition,
Masayuki Inaba (38 papers) published 5 papers at the last edition, 4 less than at the previous edition,
Kei Okada (30 papers) published 5 papers at the last edition, 3 less than at the previous edition,
Gordon Cheng (25 papers) published 1 paper at the last edition, 3 less than at the previous edition,
Ales Ude (22 papers) published 3 papers at the last edition the same number as at the previous 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
Top affiliations and change over time
Only papers with recognized affiliations are considered
The top affiliations publishing at IEEE-RAS International Conference on Humanoid Robots (based on the number of publications) are:
University of Tokyo (72 papers) published 7 papers at the last edition, 4 less than at the previous edition,
Istituto Italiano di Tecnologia (58 papers) published 14 papers at the last edition, 5 more than at the previous edition,
Karlsruhe Institute of Technology (54 papers) published 5 papers at the last edition, 1 more than at the previous edition,
National Institute of Advanced Industrial Science and Technology (47 papers) published 7 papers at the last edition, 1 less than at the previous edition,
Carnegie Mellon University (46 papers) published 5 papers at the last edition, 4 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 2017 edition, 3.76% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 37.50% were posted by at least one author from the top 10 institutions publishing at the conference. Another 8.59% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.75% of all publications and 35.16% 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.
