idea-discovery-robot

Automate robotics idea discovery from literature survey to novelty checks.

Updated Apr 1, 2026

Search Tags:#benchmarks #robotics #idea-generation #embodied-ai #novelty-check #literature-survey #sim-first

Ready to run

npx skills add https://github.com/Wenwen555/ARIS-LVLM --skill idea-discovery-robot-wenwen555

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: idea-discovery-robot
Source: https://github.com/Wenwen555/ARIS-LVLM/tree/main/skills/idea-discovery-robot
Command: npx skills add https://github.com/Wenwen555/ARIS-LVLM --skill idea-discovery-robot-wenwen555

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates end-to-end robotics idea discovery and evaluation by framing problems, surveying related literature, generating novel concepts, and performing novelty checks to move from broad robotics directions to benchmark-grounded, sim-first proposals.

Core Features & Use Cases

Phase-driven pipeline that chains four sub-skills: literature survey, idea creation (robotics framing), novelty assessment, and critical review.
Robotics-specific framing: considers embodiment, task families, simulation-first benchmarks, and safety constraints.
Output artifacts: ranked ideas, pilot plans, and an evidence package suitable for internal reviews or external submission.

Quick Start

Describe a robotics direction and I will execute the full robotics idea discovery workflow from framing to novelty check.

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 novel robotics research ideas from a broad direction?▼

Robotics idea discovery automates problem framing, literature surveying, concept generation, and novelty assessment to transform broad directions into benchmark-grounded, sim-first proposals for embodied AI research.

Can I use this pipeline for embodied AI topics like manipulation, locomotion, or drones?▼

Yes, the pipeline explicitly supports embodied AI topics such as manipulation, locomotion, navigation, drones, and humanoid robotics, focusing on sim-first, benchmark-grounded research proposals.

What is the best way to check the novelty of a robotics idea against existing literature?▼

Perform a novelty check by running the pipeline's critical review phase, which surveys related literature and evaluates generated concepts against robotics benchmarks to ensure originality.

What outputs do I get from a sim-first robotics idea generation workflow?▼

Outputs include a ranked ideas list, pilot plans, and an evidence package suitable for internal reviews or external submission, derived from reproducible evaluation against robotics benchmarks.

Does the robotics idea discovery process require structured inputs for literature survey and framing?▼

Yes, the workflow requires structured frontmatter and uses phase-driven prompts to chain literature survey, idea creation, novelty assessment, and critical review phases reproducibly.