skills.rest
Lingrongye
LingrongyeCOMMUNITY
Explore all skills by this author →
GitHub

idea-discovery-robot

Frame robotics problems, survey literature, and filter novel ideas against constraints.

1|Updated Mar 26, 2026
Search Tags:#benchmark#robotics#embodied-ai#novelty-check#literature-survey#idea-discovery#sim-first
One-click install
npx skills add https://github.com/Lingrongye/federated-learning --skill idea-discovery-robot-lingrongye
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: idea-discovery-robot
Source: https://github.com/Lingrongye/federated-learning/tree/main/Auto-claude-code-research-in-sleep/skills/idea-discovery-robot
Command: npx skills add https://github.com/Lingrongye/federated-learning --skill idea-discovery-robot-lingrongye

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates robotics idea discovery by framing problems, guiding literature surveys, and filtering novel directions against robotics constraints.

Core Features & Use Cases

  • Robotics Problem Framing: derives a formal problem frame (Embodiment, Task, Environment) to ground ideas in realistic constraints.
  • Literature Survey Orchestration: collects and categorizes robotics papers with a focus on embodied AI benchmarks (CoRL, RSS, ICRA, IROS, RA-L).
  • Novelty Filtering & Review: ranks candidate ideas by feasibility, sim2real potential, and required infrastructure, followed by external review.

Quick Start

Run the idea-discovery-robot workflow to frame a robotics problem and generate top robot 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 discover novel robotics research ideas grounded in embodied AI constraints?▼

Discover novel robotics research ideas by framing problems across embodiment, task, and environment, surveying embodied AI literature, and filtering candidate directions against robotics constraints like sim2real potential and required infrastructure.

What is the best way to run a literature survey for robotics and embodied AI papers?▼

Run a literature survey for robotics by collecting and categorizing papers from embodied AI benchmarks and major conferences like CoRL, RSS, ICRA, IROS, and RA-L to ground idea generation in existing research.

Can I use a simulation-first workflow to filter robotics ideas before external review?▼

Yes, you can use a simulation-first workflow to pilot robotics ideas before external review, applying explicit evaluation metrics to test feasibility and sim2real potential within benchmark-grounded environments.

How do I frame a robotics problem for manipulation, locomotion, or drone navigation tasks?▼

Frame a robotics problem by extracting the formal embodiment, task, and environment constraints for your specific direction, ensuring generated ideas are grounded in realistic physical limitations for manipulation, locomotion, or drone navigation.

Does idea generation for robot learning require explicit evaluation metrics and novelty checks?▼

Yes, idea generation for robot learning requires novelty checks against existing literature and explicit evaluation metrics to rank candidate ideas by feasibility, ensuring benchmark-grounded and viable research directions.

Related Skills

Explore More Education & Research Skills→
kitcafkitcaf
1

idea-discovery-robot

Frame robotics problems and outline Phase 0 idea discovery pipelines.

Community
Advanced
Wenwen555Wenwen555

idea-discovery-robot

Automate robotics idea discovery from literature survey to novelty checks.

Community
Advanced
raja21068raja21068
2

idea-discovery-robot

Generate benchmark-grounded robotics research ideas from a user's direction.

Community
Advanced
WanLanglinWanLanglin

brainstorming-research-ideas

Generate structured research project ideas using ten ideation frameworks.

Community
Advanced