IEEE International Conference on Automation Science and Engineering (CASE)

Conference positioning

IEEE International Conference on Automation Science and Engineering (CASE) is a top computer-science conference venue for automation science, manufacturing, logistics, cyber-physical systems, scheduling, and industrial robotics. It rewards an automation paper that combines algorithmic design with operations or manufacturing evidence. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.

Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.

When to trigger

• The author names CASE / IEEE International Conference on Automation Science and Engineering as the target venue.
• A manuscript in automation science needs a conference-fit read before being formatted or submitted.
• The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
• The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.

Scope & topic fit

• Core fit: automation science, manufacturing, logistics, cyber-physical systems, scheduling, and industrial robotics.
• Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
• The paper should explain why the result matters to CASE's reviewers, not just why it is interesting to the authors' lab or product context.
• Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
• If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.

Venue-specific calibration

• Reviewer lens: Treat CASE as a automation venue whose reviewers expect the scope and evidence to match its own community. Do not submit a generic CS paper until the introduction names the exact subcommunity, contribution type, and proof or empirical standard.
• Contribution hook to foreground: the venue-specific contribution bar.
• Scope vocabulary to use naturally in the abstract and introduction: automation science, manufacturing, logistics, cyber-physical systems, scheduling, and industrial robotics.
• Distinctive fingerprint for reviewer calibration: automation, manufacturing, logistics, cyber-physical, scheduling, industrial, robotics, venue-specific, contribution, ieee-ras.
• Official anchor domain: www.ieee-ras.org. Quote annual rules only after opening that source and the current-year CFP/author kit.

Close-neighbor routing guardrail

• Use this profile only when the manuscript's central contribution is genuinely in automation and the author can say why CASE reviewers are the primary audience, not merely a convenient deadline.
• Closest roster neighbors to compare before final routing: acm-ieee-international-conference- on-human-robot-interaction (HRI), ieee-international-conference-on-robot-and-human- interactive-communication (RO-MAN), international-symposium-on-robotics-research (ISRR), international-symposium-on-experimental-robotics (ISER). Break ties by contribution type, evidence shape, reviewer community, and the current official CFP from www.ieee-ras.org.

What distinguishes this venue from its closest siblings

• What CASE is. The IEEE RAS flagship for automation science & engineering — manufacturing, scheduling, logistics, planning, and automation systems with an industrial/operations slant.
• vs RO-MAN. RO-MAN is about robot–human interactive communication (social/cognitive HRI), a different reviewer community; do not route automation-systems work there.
• vs ICRA/IROS. Send general manipulation/perception/control to ICRA/IROS; reserve CASE for automation-systems and applied-engineering contributions.

CASE-specific routing detail

• Prefer CASE when the core claim is automation science: manufacturing cells, logistics, scheduling, industrial cyber-physical systems, automation platforms, or operations-aware robotics.
• Route robot-human dialogue, trust, social behavior, and assistive interaction studies to RO-MAN/HRI unless automation workflow is the main object.
• CASE evidence should connect algorithms to operational constraints such as throughput, takt time, reliability, safety envelopes, resource allocation, or deployment workflow.

Method & evidence bar

• Report hardware, simulation, environment, task distribution, reset procedure, and failure cases; embodied evidence must be inspectable.
• Compare against meaningful robot-learning, planning, or control baselines under matched assumptions.
• Separate simulation gains from real-world transfer and quantify reliability, not only best-case success.
• For CASE, the evidence must support the venue-specific signature: an automation paper that combines algorithmic design with operations or manufacturing evidence.
• Include limitations, negative results, compute/resource reporting, data provenance, and ethics details when they affect the claim.

Structure & house style

• Lead with the robot task and system constraint before the algorithmic component.
• Use video or supplementary material only as allowed by the current anonymous-review policy.
• Use the current official template exactly; do not guess page limits, font sizes, supplement rules, anonymity exceptions, or camera-ready requirements from old cycles.
• The introduction should answer: problem, why now, what is new, why this venue, and what evidence proves the claim.
• Put the strongest result in the main paper, not only in the appendix or supplement; reviewers should not have to reconstruct the contribution.

Official-cycle checklist

• Open the live official venue page: https://www.ieee-ras.org/conferences-workshops/fully-sponsored/case
• Re-check the current cycle's CFP, author kit, submission system, abstract/paper deadlines, page limits, supplementary-material rules, anonymity policy, dual-submission policy, ethics policy, AI-use policy, artifact/code/data expectations, rebuttal/author-response format, and camera-ready requirements.
• Confirm the review workflow and portal: OpenReview / CMT / HotCRP / PCS / START or society portal, as specified for the current cycle.
• Check whether accepted papers require in-person presentation, separate registration, artifact badges, proceedings copyright, or post-acceptance release forms.
• If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

• One sentence states why this manuscript belongs at CASE, using the venue's scope rather than generic "top conference" language.
• The claim is calibrated to the evidence: no broader than the datasets, proofs, systems, user studies, deployments, or threat model support.
• Related work includes the nearest current-cycle automation papers and explains the technical delta.
• The paper satisfies the current official template, anonymity, ethics, artifact, and rebuttal requirements.
• The main paper is self-contained enough for reviewers to evaluate novelty and correctness without hunting through external links.

Common desk-reject triggers

• Simulation-only evidence for a claim about real robots.
• No clear task distribution, few trials, or missing failure analysis.
• A learning curve without robot-specific insight or system integration.
• Formatting, anonymity, dual-submission, external-link, or supplement violations under the current-year policy.
• A contribution framed for a neighboring field while giving CASE reviewers too little technical or empirical substance.

Re-routing decision

If the paper misses CASE's bar, compare against ieee-international-conference-on-robotics-and-automation / ieee-rsj-international-conference-on-intelligent-robots-and-systems / robotics-science-and-systems / conference-on-robot-learning. Re-route based on contribution type, not prestige: theory to a theory venue, systems to a systems venue, application-heavy work to a domain venue, and early ideas to workshops or shorter tracks when the official CFP supports them.

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] IEEE International Conference on Automation Science and Engineering (CASE)
[Contribution type] algorithm / theory / system / dataset / benchmark / empirical / design / security / other
[Main evidence gap] <single most important missing proof, experiment, study, artifact, or policy check>
[Official items to re-check] CFP / author kit / deadline / format / anonymity / ethics / AI-use / artifact / rebuttal / camera-ready
[Top rejection risk] <venue-specific risk>
[Re-route suggestion] <better-matched conference or journal if not a fit>