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RSS 2022 - 18th Robotics: Science and Systems Conference

RSS 2022 - 18th Robotics: Science and Systems Conference

New York City, United States

Conference Dates: Jun 27, 2022 - Jul 01, 2022

Research
Impact Score 2.80

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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: 2.80
Contributing Best Scientists: 26
H5-index:
Papers published by Best Scientists 37
Research Ranking (Electronics and Electrical Engineering) 40
Research Ranking (Mechanical and Aerospace Engineering) 88

Conference Call for Papers

We are pleased to announce the 18th edition of the Robotics: Science and Systems Conference to be held in New York City in summer of 2022. RSS is a single-track conference that connects researchers working on all aspects of robotics including scientific foundations, mechanisms, algorithms, applications, and analysis of robotic systems. The single-track format gives attendees an opportunity to see state-of-the-art research in all areas of robotics, and will consist of oral and poster presentations of accepted papers, invited talks, and panels.

The conference will preserve the RSS tradition of selecting excellent papers via a thorough and fair review process. Paper submissions will be evaluated in terms of their novelty, technical quality, significance, potential impact, and clarity.

RSS also features a series of vibrant and engaging workshops across a diverse range of topics. RSS workshops are a highlight of the conference and offer participants an opportunity to discuss bleeding-edge topics in-depth with renowned experts.

Subject Areas

RSS seeks high-quality research papers that introduce new ideas and stimulate future trends in robotics. We invite submissions in all areas of robotics, including: mechanisms and design, robot learning, control and dynamics, planning, manipulation, field robotics, human-robot interaction, perception, formal methods, multi-robot systems, healthcare and medical robotics, bioinspired robots, and mobile robotics.

Highlights of RSS 2022

After two years of virtual conferences due to the Coronavirus pandemic, RSS 2022 is planned as a hybrid conference with substantial in-person activities! We are closely monitoring the developing COVID-19 situation and will make further determinations about the distribution of in-person vs virtual activities as we get closer to the conference date.

The 2022 program committee consists of a set of Area Chairs with broad and deep expertise across all sub-disciplines of robotics. The review process will continue RSS’s strong tradition in emphasizing care, quality, fairness, and rigor. Reviews will be double-blind, and authors will be allowed to submit a rebuttal to the reviews. Author rebuttals will be directed to the ACs and considered during the program committee meeting.

To encourage a more balanced consideration of “systems” papers, additional review criteria have been introduced that ask reviewers and Area Chairs to gauge the potential impact of a paper on deployed robotic systems. See the Open Letter from the Program Chair for more information about the rationale for this change.

RSS maintains a strong on-going relationship with top robotics journals and authors have been invited in the past to submit papers to IEEE Transactions on Robotics (T-RO), and to special issues of the International Journal of Robotics Research (IJRR) and Autonomous Robots (AuRo).

Overview

Top Research Topics at Robotics: Science and Systems?

  • Artificial intelligence (38.33%)
  • Robot (35.74%)
  • Computer vision (18.80%)

Robotics: Science and Systems covers a variety of subjects, including Artificial intelligence, Robot, Computer vision, Control theory and Mathematical optimization. It explores issues in Artificial intelligence which can be linked to other research areas like Machine learning and Pattern recognition. Topics in Robot explored in Robotics: Science and Systems were investigated in conjunction with research in Trajectory, Task (project management), Human–computer interaction and Simulation.

The Computer vision study tackling the subject of Pose is the focus of it. The majority of Control theory studies in Robotics: Science and Systems are focused on the subject of Control theory. It features Motion planning research that overlaps with concepts in Algorithm.

What are the most cited papers published at the conference?

  • LOAM: Lidar Odometry and Mapping in Real-time (811 citations)
  • SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces (629 citations)
  • PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes (612 citations)

Research areas of the most cited articles at Robotics: Science and Systems:

The most cited articles aim to foster the development of research in Artificial intelligence, Robot, Computer vision, Mathematical optimization and Algorithm. The most cited publications focus on Artificial intelligence but sometimes tackle the closely related topic of Machine learning which is concerned with Inference. The most cited publications tackle studies in Human–computer interaction and the interrelated subject of Action (philosophy) to gain insights into Robot.

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

  • Artificial intelligence
  • Statistics
  • Programming language

The previous edition focused in particular on these issues:

The main research concerns discussed in the conference are Robot, Artificial intelligence, Human–computer interaction, Reinforcement learning and Mathematical optimization. Motion planning is a primary topic of Robot research in the conference. In addition to Artificial intelligence research, it aims to explore topics under Machine learning, Computer vision and Generalization.

The research on Human–computer interaction tackled can also make contributions to studies in the areas of Domain (software engineering), Task (project management), Natural language, Set (psychology) and Focus (computing). Some problems in Reinforcement learning that were presented in Robotics: Science and Systems overlapped with concepts under Artificial neural network and Imitation. While Mathematical optimization is the focus of it, it also provided insights into the studies of Discretization, Probabilistic logic and Collision avoidance.

The most cited articles from the last conference are:

  • RMA: Rapid Motor Adaptation for Legged Robots (12 citations)
  • A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy (5 citations)
  • DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting (4 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 Robotics: Science and Systems (based on the number of publications) are:

  • Howie Choset (17 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • David Hsu (14 papers) published 3 papers at the last edition,
  • Marco Pavone (14 papers) published 3 papers at the last edition,
  • Nathan Michael (13 papers) absent at the last edition,
  • Vijay Kumar (12 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 Robotics: Science and Systems (based on the number of publications) are:

  • Carnegie Mellon University (101 papers) published 7 papers at the last edition, 3 less than at the previous edition,
  • Massachusetts Institute of Technology (89 papers) published 9 papers at the last edition, 2 less than at the previous edition,
  • Stanford University (57 papers) published 10 papers at the last edition, 1 more than at the previous edition,
  • University of California, Berkeley (51 papers) published 6 papers at the last edition the same number as at the previous edition,
  • Georgia Institute of Technology (47 papers) published 8 papers at the last edition the same number as 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, 2.11% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 50.54% were posted by at least one author from the top 10 institutions publishing at the conference. Another 10.75% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.28% of all publications and 20.43% 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

RSS 2022 - 18th Robotics: Science and Systems Conference

Jun 27, 2022 - Jul 01, 2022

New York City, United States

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