arXiv (All)
open access
WAVE-Go: World-Model Navigation with Adaptive Execution for Wheel-Legged Robots
World models can anticipate the consequences of navigation actions, but predicted action sequences may become invalid during execution, especially when wheel-legged robots encounter dynamic obstacles or change locomotion modes. We propose WAVE-Go, an image-goal navigation framework that separates wo
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- LocoWM: High-Precision Locomotion through World-Model-Guided Residual Adaptation#1144146
- R2S-Eval: Robot Evaluation with Real-to-Sim Calibration via Vision-Language Models#925624
- AquaWorld: Structure-Consistent Underwater World Generation for Robot Simulation#1037353
- Systematic Multi-Agent Vision-and-Language Navigation: Formulation, Benchmark, and Method#1130807
- D3D-GEN: Robot-Aware Domain-Grounded Interactive 3D World Generation for Social Robotics#926981
Record · ID 1011887
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive