Sim2Real and Classical Control: From Rigorous Theory to Data-Driven Robotics

Join our workshop to explore state-of-the-art and new research methodologies at the edge between control and sim-to-real transfer.

IROS 2026 Pittsburgh Contribute with Your Paper

About the Workshop

Simulation has long been a valuable tool for robotics, but its role is fundamentally shifting. Simulators are now integrated components of deployment pipelines, not merely prototyping aids. This shift, embodied in sim-to-real transfer, is rapidly redefining how robots are designed and validated at scale.

Yet the simulation-reality gap remains one of the most unsolved problems in modern robotics. The community is responding by exploiting real-world data to refine simulators through real-to-sim techniques. Together, sim-to-real and real-to-sim form a closed-loop framework that extends the classical foundations of system identification and adaptive control , fields with decades of rigorous theory that both communities have every reason to build upon. Two forms of fragmentation currently limit collective progress. First, model-driven and data-driven researchers often work in isolation. Second, system identification, adaptive control, and sim-to-real are treated as competing paradigms rather than complementary instruments facing the same problem.

In this context, this full-day workshop makes a targeted intervention across IROS’s core tracks, namely control, learning, and perception, with four concrete objectives: first, consolidate fragmented knowledge across communities; second, align research directions between control and learning communities; third, facilitate translation of academic advances into real-world deployment, and fourth, promoting inter-generational exchange between speakers from academia and industry, students, early-career researchers, and engineers.

Unlike prior events that have addressed sim-to-real at the application layer, this workshop treats it as a foundational methodological problem approached through the lens of control theory, a framing that so far has remained absent from the conference landscape.

Workshop illustration 1
Courtesy of NVIDIA Developer Blog
Workshop illustration 2

Call for Contributions

We invite researchers and practitioners in mobile robotics, manipulation, sim-to-real transfer to contribute to our workshop by submitting a four-page paper (excluding references) in IROS format as a PDF (Guidelines here).

We welcome contributions (extended versions of existing work, work in progress / early-stage ideas, submissions under review elsewhere, recent results published elsewhere) across a wide range of topics, including (but not limited to)::

In addition to research papers, we also welcome videos and presentations on relevant topics.

All submissions will undergo a rigorous peer review, with at least two high-quality reviews per paper. Selected papers will be presented as posters at the workshop, and outstanding contributions will be selected for presentations.

To recognize excellence, we are introducing a PAL-funded Best Paper Award (€300).

Important Dates

Submission Instructions

Preferred Method (Open Review): Submit electronically via the Submission Portal

Link: Open Review

Alternative Method (Email): If you encounter insurmountable technical issues with Google Form, you may submit via email to sim2realgap.iros26@gmail.com.

⚠️ Please note: Submissions must follow the IROS format guidelines and be limited to either two or four pages, with the page count excluding references.

Questions for Speakers

Have a question for one of the speakers at the Sim2Real & Classical Control Workshop (S2RCC 2026)?

You may submit questions related to talks. Selected questions may be addressed during or after the sessions.

For questions related to paper submissions or reviews, please contact us via email at sim2realgap.iros26@gmail.com .

Ask a Question

Schedule

Speakers

Research Representatives

Prof. Hua Wei

Prof. Hua Wei

Arizona State University, Tempe, USA

Prof. Angela Schoellig

Prof. Angela Schoellig

Technical University of Munich, Munich, Germany

Prof. Katerina Fragkiadaki

Prof. Katerina Fragkiadaki

Carnegie Mellon University, Pittsburgh, USA

Prof. Siyuan Huang

Prof. Siyuan Huang

Beijing Institute for General Artificial Intelligence, Beijing, China

Prof. Kostas Alexis

Prof. Kostas Alexis

Norwegian University of Science and Technology, Trondheim, Norway

Industry Representatives

PAL Robotics Speaker

PAL Robotics

PAL Robotics

Dr. John Subosits

Dr. John Subosits

Toyota Research Institute

Steering Committee

Loris Roveda

Prof. Loris Roveda

IDSIA-SUPSI, Lugano, Switzerland

Pasquale Chiacchio

Prof. Pasquale Chiacchio

University of Salerno, Italy

Guillaume Morel

Prof. Guillaume Morel

Sorbonne University, Paris, France

Stephane Doncieux

Prof. Stéphane Doncieux

Sorbonne University, Paris, France

Pierre Fernbach

Dr. Pierre Fernbach

PAL Robotics, Barcelona, Spain

Organizers

Dario Sanalitro

Dr. Dario Sanalitro

Sorbonne University, Paris, France

Enrico Ferrentino

Dr. Enrico Ferrentino

University of Salerno, Salerno, Italy

Silvia Tulli

Dr. Silvia Tulli

Sorbonne University, Paris, France

Sai Kishor Kothakota

Dr. Sai Kishor Kothakota

PAL Robotics, Barcelona, Spain

Zhixuan Liu

Zhixuan Liu

Carnegie Mellon University, Pittsburgh, USA

Jonathan Francis

Dr. Jonathan Francis

Bosch Center for AI, Carnegie Mellon University, Pittsburgh, USA

Support

PAL Robotics Logo

PAL Robotics

Workshop Sponsor

Endorsement

IEEE RAS Technical Committee on Robot Learning Logo

IEEE RAS Technical Committee on Robot Learning

IEEE RAS Technical Committee on Whole-Body Control Logo

IEEE RAS Technical Committee on Whole-Body Control

Resources