idea-discovery-robot

Orchestrate literature survey, idea generation, novelty checks, and critical review for embodied AI robotics.

Updated Apr 2, 2026

Search Tags:#benchmarking #robotics #embodied-ai #sim2real #novelty-check #literature-survey #idea-discovery

Ready to run

npx skills add https://github.com/dz306271098/ARIS_for_Robotics --skill idea-discovery-robot-dz306271098

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: idea-discovery-robot
Source: https://github.com/dz306271098/ARIS_for_Robotics/tree/main/skills/idea-discovery-robot
Command: npx skills add https://github.com/dz306271098/ARIS_for_Robotics --skill idea-discovery-robot-dz306271098

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates robotics idea discovery by orchestrating literature survey, idea generation, novelty checks, and critical review for embodied AI applications.

Core Features & Use Cases

Chains four sub-skills into a single automated pipeline: /research-lit → /idea-creator (robotics framing) → /novelty-check → /research-review, guiding robotics projects from broad directions to benchmark-grounded, sim-first ideas.
Enforces robotics-specific framing, including embodied constraints, task families, observation and action interfaces, and simulator/benchmark availability.
Produces structured pilot plans and external-review prompts to ensure credibility, reproducibility, and alignment with real-world robotics deployment.

Quick Start

Invoke the idea-discovery-robot workflow with your robotics direction to begin the literature survey and idea generation pipeline.

Frequently Asked Questions about idea-discovery-robot

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

FAQPage Schema

How do I automate robotics idea discovery from a broad research direction?▼

Automating robotics idea discovery involves chaining literature surveys, idea generation, novelty checks, and critical reviews into a single pipeline to produce benchmark-grounded, sim-first concepts for embodied AI.

Can I generate sim2real robotics ideas with built-in novelty checks?▼

Yes, generating sim2real robotics ideas with built-in novelty checks is possible by automating a workflow that applies embodied constraints and evaluates generated concepts against existing literature.

How does an automated literature survey work for embodied AI applications?▼

An automated literature survey for embodied AI works by orchestrating research tools to scan existing papers, identify gaps, and frame new robotics problems with task families, observation interfaces, and action interfaces.

Does this automation approach support manipulation, locomotion, and drone robotics domains?▼

Yes, this automation approach supports manipulation, locomotion, navigation, and drone robotics domains by enforcing robotics-specific framing and ensuring alignment with available simulators and benchmarks.

What is the best way to evaluate robotics ideas for real-world deployment credibility?▼

Evaluating robotics ideas for real-world deployment credibility is best achieved by generating structured pilot plans and external-review prompts that ensure reproducibility and benchmark alignment.

How do I structure a pilot plan for a sim-first robotics project?▼

Structuring a pilot plan for a sim-first robotics project requires chaining automated idea generation with critical review to define benchmark availability, embodied constraints, and explicit evaluation criteria.