VbotNav-0: Asynchronous Cloud-Edge Dual-Policy Navigation across Indoor and Outdoor Environments
cs.RO
Submitted: 2026-10-10
Updated: 2026-10-10
Project page: https://ucla-mobility.github.io/TIC-VLA
Sources
- SocialNav: Training Human-Inspired Foundation Model for Socially-Aware Embodied Navigation
- ABot-N1: Toward a General Visual Language Navigation Foundation Model
- Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments
- UrbanVLA: A Vision-Language-Action Model for Urban Micromobility
- SPAN-Nav: Generalized Spatial Awareness for Versatile Embodied Navigation
- Latency-Tolerant Cloud-Edge Collaborative Vision-Language-Action Models via Emergent Representational Specialization
- NavVerse: Benchmarking Indoor-to-Outdoor Embodied Navigation in Continuous Robot Simulation
- AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation
- Embodied Navigation Foundation Model
- Bridging the Indoor-Outdoor Gap: Vision-Centric Instruction-Guided Embodied Navigation for the Last Meters
Related papers
- FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
- MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- ARC: A Reasoning Recipe for Robot Foundation Models
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies