NEmo 2026

Deadlines
Machine Learning/CORE Unranked

NEmo 2026

Neuro-Symbolic Embodied Intelligence

Dec 12 2026SydneyOfficial conference site Site reachable

NEmo 2026 is a one-day in-person workshop co-located with NeurIPS 2026 in Sydney, Australia, focused on neuro-symbolic AI for embodied agents. It brings together researchers from machine learning, robotics, planning, and knowledge representation to address challenges in integrating neural perception with symbolic reasoning for reliable agent behavior in physical or simulated environments.

Official CFP Back to deadlines Verified August 30, 2026

Key deadlines

Verified August 30, 2026

Full paper

September 10, 2026

AoE

Conference timeline

Submission and decisions

Full paperKey deadline

September 10, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Long Papers

Up to 8 pages, excluding references and appendices; original work on embodied neuro-symbolic AI; three reviews per submission.

Short Papers

Up to 4 pages, excluding references and appendices; position papers, early results, benchmarks, demos; eligible for lightning talks and posters.

Research areas in scope

01

Core Challenges

Long-Horizon Planning: Interfaces for learning, revising, and verifying symbolic action models while learned components handle perception and low-level control.LLMs and Provenance: Reliable use of LLMs as domain-model elicitors, policy priors, symbolic constraint generators, and natural-language interfaces.Shared Semantics: Reusable knowledge layers connecting environments, object affordances, robot capabilities, plans, and execution traces.
02

Topics

Neuro-symbolic AI for embodied agentsLLMs for planning in atypical domainsKnowledge representation for planningOntological reasoning for embodied applicationsTacit planning knowledge in frontier modelsSymbolic model elicitation for embodied reasoningPerception and sensor groundingRule-based validation of symbolic domainsNeuro-symbolic reinforcement learningLong-horizon planning and plan repairSelf-evolving agentsEthical aspects of embodied AI systems

Policies worth checking twice

  • Submissions are double-blind reviewed.
  • Manuscripts and supplementary materials must be anonymized.
  • NEmo is a non-proceedings workshop; accepted papers will be published on the workshop website.
  • Dual-submission policy: Ongoing and unpublished work, as well as papers under review or recently accepted at other venues, are welcome.
  • Submission of work previously published at major venues (e.g., NeurIPS, ICLR, ICML) is discouraged.
  • Submissions must use the official NeurIPS 2026 LaTeX template with the dblblindworkshop option.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified August 30, 2026