L4DC 2027 — 9th Annual Learning for Dynamics & Control Conference

L4DC 2027, the 9th Annual Learning for Dynamics & Control Conference, takes place 16–18 June 2027 at KTH Royal Institute of Technology in Stockholm, Sweden. The conference exists because the explosion of real-time data from devices that sense and control the physical world demands closer synergy between machine learning, control theory and optimization. It takes theoretical, applied and empirical papers from academia and industry, submitted through OpenReview, plus a late-breaking results track. General co-chairs are Karl Johansson and Johan Karlsson (KTH); Florian Dörfler (ETH Zürich) chairs the programme with Thomas Schön (Uppsala University) and Noémie Jaquier (KTH), and the organising committee includes tutorial, industry, ELLIS Alliance and talent-matchmaking chairs. The 2026 edition was held at the University of Southern California.

• Paper submission deadlineNov 13, 2026
• Paper decision notificationJan 25, 2027
• Late-breaking results submissionApr 5, 2027
• Camera-ready deadlineApr 19, 2027

Date

June 16–18, 2027

Location

KTH Royal Institute of Technology, Stockholm, Sweden

Format

In-Person

Event Type

Conference

Status

Upcoming

Pricing

Paid

Organizer

L4DC 2027 Organizing Committee (hosted by KTH Royal Institute of Technology)

Added

Sep 14, 2026

Updated

Sep 14, 2026

• ✓Heads of autonomy and control engineering
• ✓Robotics and autonomous systems researchers
• ✓Machine learning researchers
• ✓Industrial automation R&D leaders
• ✓Energy and process-control engineers
• ✓PhD students

Learning-based control sits under autonomous vehicles, robotics, grid and process automation, and L4DC is where research on data-driven control of dynamical processes is presented. For a CTO or head of autonomy at an industrial, automotive or energy company, three days in Stockholm offer a direct view of methods moving from theory toward deployment, access to the ETH Zürich, KTH and Uppsala groups on the organising committee, and a talent-matchmaking programme for hiring control and ML researchers.

• ✓Peer-reviewed papers submitted via OpenReview on the L4DC LaTeX template
• ✓Late-breaking results track
• ✓Tutorials (tutorial chair Valentina Breschi, Eindhoven University of Technology)
• ✓ELLIS Alliance programme (chair Danica Kragic, KTH)
• ✓Industry programme (industry chair Urban Forssell, Digital Futures)
• ✓Talent matchmaking (chair Matthieu Barreau, KTH)

• ★Focused squarely on the interface of machine learning, control and optimization — theoretical, applied and empirical — rather than general ML.
• ★Programme chaired by Florian Dörfler (ETH Zürich) with Thomas Schön (Uppsala) and Noémie Jaquier (KTH); steering committee John Lygeros and Melanie Zeilinger (ETH Zurich) and George Pappas (Penn).
• ★Organising committee includes dedicated industry, ELLIS Alliance and talent-matchmaking chairs.
• ★Follows the 2026 edition at USC, which was co-located with the International Conference on Neuro-symbolic Systems (NeuS).

Registration fees for L4DC 2027 had not been published as of September 2026.

When is L4DC 2027?

L4DC 2027 takes place June 16–18, 2027 in Stockholm, Sweden.

Where is L4DC 2027 held?

L4DC 2027 is held in Stockholm, Sweden. The event format is in-person.

What is the L4DC 2027 submission deadline?

The next L4DC 2027 deadline is paper submission deadline on Nov 13, 2026. Remaining dates: Paper decision notification — Jan 25, 2027; Late-breaking results submission — Apr 5, 2027; Camera-ready deadline — Apr 19, 2027.

How much does L4DC 2027 cost?

L4DC 2027 is paid. Registration fees for L4DC 2027 had not been published as of September 2026.

Who should attend L4DC 2027?

L4DC 2027 is aimed at Heads of autonomy and control engineering, Robotics and autonomous systems researchers, Machine learning researchers, Industrial automation R&D leaders, Energy and process-control engineers, PhD students.

What topics does L4DC 2027 cover?

L4DC 2027 covers Machine learning, Control theory, Optimization, Data-driven control of dynamical processes, Learning-based control applications, Model-based design.

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1. 1.l4dc2027.control.ee.ethz.ch — l4dc2027.control.ee.ethz.chvendor
2. 2.l4dc2027.control.ee.ethz.ch — organizationvendor
3. 3.sites.google.com — l4dc2026