idea-discovery-robot

Orchestrate a robotics idea discovery pipeline from literature survey to critical review.

Updated Apr 29, 2026

Search Tags:#benchmarking #evaluation #simulation #robotics #idea-generation #novelty-check #literature-survey

Ready to run

npx skills add https://github.com/jkfee/Auto-Research --skill idea-discovery-robot-jkfee

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates a robotics-focused idea discovery pipeline that combines literature survey, idea creation, novelty checks, and critical review into a single automated workflow.

Core Features & Use Cases

Robotics Problem Framing: extracts embodiment, task family, sensors, and constraints from user arguments to ground ideas in real hardware settings.
Phase-driven pipeline: Phase 0 frame, Phase 1 literature survey, Phase 2 idea generation and filtering, Phase 3 feasibility planning, Phase 4 novelty verification, Phase 5 external review.
Benchmark-grounded outputs: produces a ranked set of sim-first ideas with clear baselines, metrics, and failure modes suitable for simulation or offline validation.

Quick Start

Propose a robotics direction and start the Phase 0 framing to build a robotics problem frame and pipeline plan.

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 generation with literature survey and novelty checks?▼

Robotics idea generation is automated by a phase-driven pipeline that coordinates literature survey, idea creation, novelty checks, and critical review. It extracts embodiment, sensors, and constraints from your problem frame to generate robust, testable ideas.

What is the best way to ground a new robotics manipulation concept in simulation benchmarks?▼

Grounding a robotics manipulation concept in simulation benchmarks requires framing the problem with hardware constraints and target metrics. This pipeline produces ranked, sim-first ideas with clear baselines, metrics, and failure modes suitable for offline validation.

Can I use this pipeline for embodied AI and locomotion task framing?▼

This pipeline supports embodied AI and locomotion task framing by extracting task family, sensors, and constraints from your arguments. It targets robotics domains including manipulation, navigation, and locomotion to ground ideas in real hardware settings.

How do I start the robotics idea discovery workflow?▼

Start the robotics idea discovery workflow by proposing a robotics direction to initiate Phase 0 framing. This builds the robotics problem frame and pipeline plan, requiring access to literature sources and structured prompts for subsequent phases.

Does this pipeline handle feasibility planning and external review for new robotics ideas?▼

Feasibility planning and external review are handled in Phase 3 and Phase 5 of the pipeline. After idea generation and novelty verification, it produces a benchmark-grounded pilot plan with clear evaluation metrics and critical review outputs.

What limitations exist when evaluating robotics ideas without real hardware?▼

Evaluating robotics ideas without real hardware relies on sim-first validation, meaning outputs are benchmark-grounded but require offline testing. The pipeline emphasizes simulation baselines, metrics, and failure modes rather than direct physical deployment.