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Notes on navigation
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ENCP: Episode-Normalized Conformal Prediction for Vision-and-Language Navigation
ENCP rescales conformal-prediction scores for variable-length, dependent navigation episodes and calibrates one maximum score per episode. The abstract reports coverage evaluations across four navigation policies and…
DreamFly: Causal Memory and Receding-Horizon Diffusion Planning for Aerial Vision-Language Navigation
The authors propose DreamFly, a framework for aerial vision-language navigation that uses a causally aligned historical memory to reason about the past without leaking future information. It also uses receding-horizon…
DreamFly: Causal Memory and Receding-Horizon Diffusion Planning for Aerial Vision-Language Navigation
In this paper, the authors introduce DreamFly, a new framework for aerial vision-language navigation that addresses the challenges of limited historical context, short planning horizons, and unreliable implicit…
BioVLN: A Simulation Platform for Visual Language Navigation in Biomedical Laboratories
Researchers have developed a simulation platform named BioVLN for navigating robotics in biomedical laboratories. The platform focuses on finding the correct position to approach instruments, ensuring safety by…
VoLN: Vision-Only Long-Horizon Navigation---Paradigm, Benchmark, and Method
The text discusses a new navigation system called Vision-Only Long-Horizon Navigation (VoLN) for autonomous agents. In this system, the agent navigates using visual cues instead of relying on route-level instructions…
VoLN: Vision-Only Long-Horizon Navigation---Paradigm, Benchmark, and Method
Researchers introduce Vision-Only Long-Horizon Navigation (VoLN), a new paradigm for autonomous agents to navigate using only onboard sensors and in-scene cues, rather than relying on external instructions. They create…
VoLN: Vision-Only Long-Horizon Navigation---Paradigm, Benchmark, and Method
The researchers propose a new benchmark for vision-based navigation called Vision-Only Long-Horizon Navigation (VoLN). This benchmark is designed for aerial navigation and requires agents to detect, interpret, and…
DART-VLN: Test-Time Memory Decay and Anti-Loop Regularization for Discrete Vision-Language Navigation
The researchers present DART-VLN, a test-time control framework for vision-language navigation agents that aims to improve their performance by addressing two common issues: stale historical evidence at memory readout…
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