WAVE-Go: World-Model Navigation with Adaptive Execution for Wheel-Legged Robots
cs.RO
Submitted: 2026-09-16
Updated: 2026-09-16
Code: https://github.com/vigorlee/wave-go
Terminology
Sources
- HIMM: Human-Inspired Long-Term Memory Modeling for Embodied Exploration and Question Answering
- FutureNav: Unified World-Action Modeling for Vision-and-Language Navigation
- NavWAM: A Navigation World Action Model for Goal-Conditioned Visual Navigation
- WAM-Nav: Asymmetric Latent World-Action Modeling for Unified Visual Navigation
- Adaptive Action Chunking at Inference-time for Vision-Language-Action Models
- RAE-NWM: Navigation World Model in Dense Visual Representation Space
- AR Forcing: Towards Long-Horizon Robot Navigation World Model
- MWM: Mobile World Models for Action-Conditioned Consistent Prediction
- Sparse Video Generation Propels Real-World Beyond-the-View Vision-Language Navigation
- ImagiNav: Scalable Embodied Navigation via Generative Visual Prediction and Inverse Dynamics
- NavWM: A Unified Navigation World Model for Foresight-Driven Planning
- WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation
- Fast-WAM: Do World Action Models Need Test-time Future Imagination?
- NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration
- NavDP: Learning Sim-to-Real Navigation Diffusion Policy with Privileged Information Guidance
- Real-Time Execution of Action Chunking Flow Policies
- Qwen2.5-VL Technical Report
- On Evaluation of Embodied Navigation Agents
- Cosmos 3: Omnimodal World Models for Physical AI
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