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chenghaoYang
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idea-discovery-robot

Generate robotics-focused ideas through literature surveys and novelty validation.

2|Updated Mar 19, 2026
Search Tags:#benchmarking#evaluation#robotics#research-framework#sim2real#novelty-check#idea-discovery
One-click install
npx skills add https://github.com/chenghaoYang/auto-coder-trainer --skill idea-discovery-robot-chenghaoyang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: idea-discovery-robot
Source: https://github.com/chenghaoYang/auto-coder-trainer/tree/main/aris/skills/idea-discovery-robot
Command: npx skills add https://github.com/chenghaoYang/auto-coder-trainer --skill idea-discovery-robot-chenghaoyang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps robotics researchers establish a rigorous, reproducible workflow for discovering and evaluating new robotics ideas, from problem framing through external critique.

Core Features & Use Cases

  • Framework for framing robotics problems (embodiment, task family, benchmarks) and generating targeted, testable ideas.
  • Structured phases: literature survey, robotics-specific idea generation, novelty verification, and external review.
  • Produces a complete plan including pilot design, evaluation metrics, and risk assessment for sim-first validation.

Quick Start

Describe your robotics topic and run Phase 1 to generate robotics-framed ideas.

Frequently Asked Questions about idea-discovery-robot

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate testable robotics research ideas with a structured framework?▼

This skill frames robotics problems by defining embodiment, task families, and benchmarks, then generates targeted ideas through structured landscape analysis. It ensures ideas are testable by requiring a defined pilot plan with measurable metrics.

What is the best way to validate novelty for embodied AI and manipulation topics?▼

Validating novelty for embodied AI involves a structured literature survey and landscape analysis. This skill checks novelty against sim-first and benchmark-driven criteria across manipulation and navigation paradigms.

How do I create a sim2real pilot plan with measurable evaluation metrics?▼

Creating a sim2real pilot plan requires applying sim-first validation criteria. The skill outputs a complete plan encompassing pilot design, risk assessment, and defined measurable metrics for robotics evaluation.

Does this robotics idea discovery approach work for navigation and learning paradigms?▼

Yes, this approach applies to embodied AI topics across manipulation, navigation, and learning paradigms. It uses explicit robotics framing and benchmark-driven criteria to evaluate ideas across these domains.

How do I frame a robotics problem for benchmarking and external review?▼

Framing a robotics problem for benchmarking requires explicitly defining embodiment, task family, and target benchmarks. The skill structures this framing to establish a rigorous, reproducible workflow for external review.

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