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NavCMPO not only boosts navigation success rates but also slashes inference latency, making real-time obstacle avoidance more feasible in complex environments.
Directly injecting 3D scene tokens into VLMs boosts navigation success rates and enables seamless transfer to real-world scenarios without retraining.
Ditch the planner-tracker hierarchy: RL can directly control spherical robots for efficient point-to-point navigation, even transferring from sim-to-real with high stability.
