RSS (robotics conference)

RSS (robotics conference)
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Name	RSS
Discipline	Robotics
Abbreviation	RSS
Publisher	Robotics: Science and Systems Foundation
Country	International
Frequency	Annual

RSS (robotics conference)

The Robotics: Science and Systems conference is an annual international meeting for researchers in robotics and related fields, emphasizing technical rigor, systems-level integration, and foundational advances. It serves as a focal point for contributions that intersect with machine learning, control theory, computer vision, and artificial intelligence, attracting participants from academia, industry, and government laboratories. The conference is known for a selective peer-review process and a program that balances theoretical results with experimental validation.

Overview

RSS is an annual conference that brings together researchers from institutions such as Massachusetts Institute of Technology, Stanford University, Carnegie Mellon University, University of California, Berkeley, University of Pennsylvania, and organizations including Google, Microsoft Research, Facebook AI Research, OpenAI, and DeepMind. Topics commonly presented span intersections with Neural Networks research at venues like NeurIPS, algorithmic advances related to work at ETH Zurich, and systems approaches comparable to presentations at ICRA and IROS. The meeting often features keynote speakers who have affiliations with NASA, DARPA, European Space Agency, Toyota Research Institute, and Amazon Robotics.

History

RSS was founded in the mid-2000s to provide a focused venue for high-quality research dissemination, emerging alongside established gatherings such as SIGGRAPH and CVPR. Early organizers included faculty from Princeton University, Caltech, University of Washington, and Johns Hopkins University. Over time, RSS editions have been hosted in locations with ties to robotics hubs such as Pittsburgh, Seattle, Zurich, Cambridge (UK), and Rome. The conference has evolved in parallel with advances from groups like MIT CSAIL, Google X, KTH Royal Institute of Technology, and Tsinghua University, reflecting shifts in research toward data-driven control, probabilistic planning, and embodied intelligence.

Conference Structure and Topics

The program typically comprises oral presentations, poster sessions, invited talks, workshops, and tutorials. Accepted work aligns with themes that connect to research from Princeton Robotics, UC San Diego, Harvard University, and Imperial College London on topics such as motion planning influenced by Bellman-style dynamic programming, perception informed by Yann LeCun-related deep learning paradigms, and control strategies echoing developments at Caltech and ETH Zurich. Workshops often overlap with communities represented at ICLR, ECCV, ICASSP, and COLT, covering subtopics like multi-robot coordination, legged locomotion, aerial robotics, manipulation, and human-robot interaction.

Submissions and Peer Review

Submissions to RSS undergo a competitive peer-review process managed by an international program committee with experts from University of Toronto, University of Oxford, University of Cambridge, National University of Singapore, and Seoul National University. The review protocol emphasizes reproducibility and experimental validation, in keeping with practices promoted by Association for Computing Machinery and editorial standards similar to those at IEEE Transactions on Robotics. Accepted manuscripts are often archived in conference proceedings and are expected to meet standards comparable to publications in Science Robotics and The International Journal of Robotics Research.

Awards and Recognition

RSS confers awards for best paper, best student paper, and notable contributions, recognizing work from research groups at Yale University, Columbia University, Brown University, and University of Illinois Urbana-Champaign. Award committees have included members affiliated with IEEE Robotics and Automation Society, ACM SIGGRAPH, and national academies such as the National Academy of Engineering. Recipients frequently gain further recognition through invitations to keynote at AAAI and fellowships from institutions like NSF and DARPA.

Notable Papers and Impact

Papers presented at RSS have influenced subsequent work at venues including NeurIPS, ICRA, IROS, and journals like Nature Machine Intelligence. Notable contributions have come from labs at MIT, Stanford, Berkeley AI Research, and University of Michigan, advancing topics such as simultaneous localization and mapping following lines of research connected to Seth Teller-era projects, reinforcement learning for control inspired by results at DeepMind, and optimization methods related to work by Stephen Boyd. RSS papers have supported robotics applications in contexts involving NASA Jet Propulsion Laboratory missions, industrial automation at ABB, and assistive devices developed at Johns Hopkins University Applied Physics Laboratory.

Sponsorship and Organization

RSS is organized by a steering committee drawn from universities and research institutions including Cornell University, Duke University, Michigan State University, and international partners such as ETH Zurich and EPFL. Funding and sponsorship often come from industry partners like Intel, NVIDIA, Bosch, Toyota, and government agencies such as NSF and European Research Council. Program committees coordinate with local organizers, conference chairs, and professional societies including IEEE for logistical and ethical guidelines.

Attendance and Community Outreach

Attendance at RSS includes students, postdoctoral researchers, faculty, and industry engineers from institutions such as Purdue University, University of Texas at Austin, University of Southern California, and international labs from Tsinghua University and KAIST. Outreach activities have featured tutorials for students, diversity initiatives aligned with efforts by Ada Lovelace Day-style organizations, and collaborations with outreach programs such as those run by FIRST Robotics Competition and university-based maker spaces. Satellite events and affiliated workshops foster cross-disciplinary exchange with communities active at SIGKDD, CHI, and ICASSP.

Category:Robotics conferences