Skill UI

A comprehensive guide for packaging robotic research artifacts (code, policies, ledgers, hardware specs) for peer review and public release. It details the necessary steps to ensure maximum reproducibility, auditability, and permanence, covering both anonymous review-time evidence and citable public repositories.

A rigorous framework for designing reproducible and scientifically sound experiments in robotics and AI, specifically for academic publication (e.g., RSS). It guides users to shift focus from simple system demonstration to testing a falsifiable scientific claim. Key areas covered include deriving conditions from a claim, establishing hardware trial protocols, managing simulation vs. real-world evidence splits, and performing detailed failure attribution analysis.

A comprehensive guide for positioning research papers in competitive robotics conferences. It teaches authors how to move beyond simple literature review by establishing clear, verifiable contrasts with existing work across multiple academic lanes (e.g., RSS, ICRA, CoRL, Journals). This methodology ensures the paper's novelty is rigorously defensible.

A comprehensive guide for ensuring robust scientific reproducibility in robotics research (RSS). It structures evidence into distinct 'Replication Tiers' (e.g., Rerunnable, Auditable), distinguishing between the computational half (code, seeds) and the physical half (robot, environment, human protocol). It mandates the use of platform ledgers and raw trial logs to convert claims of trust into verifiable, auditable evidence.

Explains the RSS (Robotics: Science and Systems) double-blind review pipeline, two-stage threshold rebuttal, Area Chair meeting decisions, and author strategies for submissions and responses.

A comprehensive, final-stage audit guide for submitting papers to highly selective robotics conferences like RSS. It details the multi-stage deadline cascade, adherence to strict double-blind review rules, self-containment standards, and formatting requirements to maximize acceptance chances.

This skill provides a detailed framework for researchers to determine the most suitable venue (e.g., RSS, ICRA, CoRL, IROS) for their robotics project paper. It teaches how to shift focus from merely demonstrating a system's capabilities to articulating a precise, testable scientific claim, ensuring the work is optimally presented to the target academic community.

This guide provides a comprehensive project management framework for submitting research to major robotics conferences, particularly RSS. It maps out the complex annual cycle, from abstract submission to final presentation, detailing critical deadlines, required milestones (like hardware trials and writing drafts), and fallback options at sibling venues (IROS, CoRL, ICRA). Essential for researchers managing time-sensitive academic pipelines.

A comprehensive guide for technical writers revising manuscripts for top-tier robotics venues. It emphasizes shifting the paper's focus from system demonstrations to a primary, falsifiable scientific claim. Learn to structure your argument, size evidence to the claim scope, pre-answer reviewer critiques, maintain extreme concision, and report failures with scientific rigor.

This skill provides a detailed guide to the requirements and positioning of Science Robotics (Sci Robot), an AAAS journal. It helps authors determine if their robotics research meets the high bar for broad scientific or societal significance. Key areas covered include demonstrated real-world capability, required quantification of physical performance, AAAS submission structure, and best practices for venue selection, making it essential for authors targeting top-tier journals.

A comprehensive guide for authors considering submission to SIAM Review. This skill evaluates whether a manuscript fits the journal's expository, broad-readership mandate for applied and computational mathematics. It outlines requirements for different sections (e.g., Survey, Research Spotlights), covering accessibility, technical rigor, structure, and official submission checklists.

A comprehensive guide for structuring research papers, particularly in computer graphics and visualization fields (like SIGGRAPH). It dictates how to match technical claims (e.g., 'higher quality,' 'faster') to verifiable evidence, including head-to-head comparisons against State-of-the-Art (SOTA), detailed metric reporting (PSNR, SSIM, Hausdorff), performance timing linked to specific hardware, and robust user studies. Essential for achieving academic rigor and pre-empting domain reviewer objections.