Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T23:46:37.199495Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 2 inbound Pith citation observations for arXiv:2502.08791.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T23:46:37.199495Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T12:55:36.951077Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T04:40:24.320082Z
62 of 62 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b73a7270-971e-478b-b8d7-4e6b283164c9 · outbound
VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots A compre- hensive study of recent path-planning techniques in dynamic environments for autonomous robots
Reference 1
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Turtlebot 3 as a Robotics Education Platform, pages 170–181
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots On Evaluation of Embodied Navigation Agents
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments
Reference 4
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Long-term exploration in unknown dynamic environments
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots GOAT: GO to Any Thing
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots A behavioral approach to visual navigation with graph lo- calization networks
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Cows on pasture: Base- lines and benchmarks for language-driven zero-shot object navigation
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Fan, Matteo Palieri, Mykel J
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots End-to-end navigation with vlms: Transforming spatial reasoning into question-answering
Reference 13
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots LOC-ZSON: Language-driven Object-Centric Zero-Shot Object Retrieval and Navigation
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Hahnel, R
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots A real-time map merging strategy for ro- bust collaborative reconstruction of unknown environments
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Visual language maps for robot navigation
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Open- clip, July 2021
Reference 18
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Winclip: Zero- /few-shot anomaly classification and segmentation
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Autonomous exploration in a cluttered environ- ment for a mobile robot with 2d-map segmentation and ob- ject detection
Reference 22
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Beyond the nav-graph: Vision-and-language navigation in continuous environments
Reference 24
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Cornav: Autonomous agent with self-corrected planning for zero-shot vision-and- language navigation
Reference 25
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Spatial Relation Graph and Graph Convolutional Network for Object Goal Navigation
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment
Reference 27
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Dynamic path planning for a mobile automaton with limited information on the environment
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Active mapping and robot exploration: A survey
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Slam toolbox: Slam for the dynamic world
Reference 31
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Path- planning strategies for a point mobile automaton moving amidst unknown obstacles of arbitrary shape
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Learning hierarchical relationships for object-goal navigation
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots A dynamical theory of the electro- magnetic field
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Learning transferable visual models from natural language supervi- sion
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Lm- nav: Robotic navigation with large pre-trained models of lan- guage, vision, and action
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots Autonomous robotic exploration by incremental road map construction
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation
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Reference 45
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots A (meaningless) photo
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots This metric reflects the system’s ability to promptly react to environ- mental changes, such as avoiding obstacles and main- taining safe navigation
Reference 52
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots The LiDAR serves as a virtual kill switch during operation, detecting obstacles in the robot’s intended path
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Reference 60
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