robotics-vln-navigation
CommunityReview and build evidence for language navigation.
Education & Research#navigation#robotics#paper review#instruction following#ablation study#vln#benchmark metrics
Authoryuewangg
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps you evaluate and write up vision-language navigation (VLN) work so that claims about embodied, instruction-following robot navigation are supported by clear task framing, datasets, metrics, and rigorous ablations.
Core Features & Use Cases
- Manuscript review for navigation papers: Checks how the paper defines the task, sensors, action space, and evaluation scope for VLN-style navigation.
- Evidence boundary enforcement: Separates perception, language grounding, memory/map representation, planning/policy, control/waypoint execution, and recovery so weak links are not hidden by strong results elsewhere.
- Benchmark and risk scrutiny: Verifies dataset/benchmark alignment (e.g., R2R/RxR/REVERIE/SOON/Touchdown/Habitat/Matterport3D/ObjectNav/PointNav) and scrutinizes metrics, baselines, and ablation completeness.
Quick Start
Use the robotics-vln-navigation skill to review a navigation manuscript draft for missing evidence, weak ablations, and overstated real-world deployment claims.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: robotics-vln-navigation Download link: https://github.com/yuewangg/agent-research-skills/archive/main.zip#robotics-vln-navigation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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