Skill UI

This guide helps authors assess the suitability and optimal framing of their computer animation manuscript for the ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA). It provides strategic advice on required evidence, scope calibration, contribution types (e.g., physics simulation, character motion, crowds), and how to position the work against top-tier CS conference standards. Use this when submitting animation-related research.

This tool guides authors on whether their manuscript fits the scope of Advanced Functional Materials. It emphasizes the critical structure-function-application chain, covering highly advanced fields such as optoelectronics, biomedical devices, and soft robotics. It provides criteria for methodology, required evidence, and journal-specific house style.

This guide provides comprehensive best practices for ensuring scientific reproducibility in technical papers, particularly for electronics and information processing fields. It covers the critical pillars of documentation: environment setup, data sourcing and preprocessing, full algorithmic disclosure (including pseudo-code and hyperparameters), and robust statistical evaluation. By adopting these standards, authors can transform their work from potentially unverifiable results into credible, verifiable scientific contributions suitable for top-tier journals.

This detailed guide teaches authors how to structure and position their research paper within the highly interdisciplinary field of robot learning. It covers essential best practices, including reviewing multiple concurrent literature streams (ML methods, classical robotics, robot lineage, VLA models) and adhering to strict academic citation hygiene (e.g., handling PMLR year offsets).

This guide provides a comprehensive checklist for evaluating Electronic Design Automation (EDA) research manuscripts for top-tier conferences like DAC. It emphasizes the necessity of using standard, recognized benchmark suites (e.g., ISPD, EPFL, TAU), comparing results against the true State-of-the-Art (SOTA), reporting full PPA metrics and runtime, and implementing ablation studies to ensure fairness, reproducibility, and generalizability, especially for ML-based methods.

A comprehensive guide for designing and reporting rigorous experimental results in robotics research. It details the 'evidence ladder' (from simulation to real-world deployment), statistical best practices (e.g., sample size, confidence intervals), ensuring baseline fairness, and quantifying sim-to-real transfer gaps. Essential reading for researchers submitting to top-tier robotics conferences.

This guide outlines the rigorous standards for achieving robust reproducibility in robotics research papers, especially those involving physical hardware. It details a two-tier approach, defining results as either fully *rerunnable* (code/simulation) or fully *auditable* (hardware logs/protocols). Key requirements include creating comprehensive hardware specification ledgers, logging detailed sensor data (rosbags), separating deterministic from stochastic claims, and structuring the entire repository for peer review.

This guide details how to prepare the mandatory video attachment for robotics conference submissions. It covers strict technical specifications (e.g., 180 seconds, 20 MB), the crucial self-containment rule, effective storyboarding techniques, and necessary steps for anonymization. Learn to transform your video from a mere demonstration into robust, undeniable scientific evidence.

A comprehensive guide to strategically routing robotics research projects. This skill helps determine whether a project is best suited for ICRA, IROS, CoRL, RA-L, or other specialized venues. It evaluates your work based on the physical embodiment test, contribution type (e.g., HRI, manipulation, perception), and provides a decision framework between direct conference submission and journal publication.

A comprehensive guide detailing the end-to-end annual submission and presentation cycle for the IEEE ICRA conference. It covers critical milestones—from paper deadlines and video attachments to camera-ready submissions—and provides structured backward planning, fallback strategies (RA-L, IROS), and tips for navigating the academic timeline in robotics research.

A comprehensive style guide for structuring and refining robotics research manuscripts for top-tier conferences like ICRA. It dictates moving from technique-speak to task-first narratives, emphasizing figure-first presentation, rigorous quantification of claims, and adhering to strict page budgets to maximize reviewer impact and clarity.

A comprehensive methodology guide for designing and auditing empirical studies in software engineering, specifically focused on maintenance, evolution, and change impact. It outlines best practices for ensuring evidence is proportional to the claim, managing data provenance (SHAs, criteria), handling statistical confounds (survivorship, effect sizes), and integrating rigorous LLM evaluation protocols.