Main

processing priority

3

site type

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review version

11

html import

20 (imported)

Events

first seen date

2025-06-15 12:34:25

expired found date

-

created at

2025-06-15 12:34:25

updated at

2025-10-23 16:19:42

Domain name statistics

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Connections

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87719371 (github.io)

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Error counters

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Server

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Mainpage statistics

mp import status

20

mp rejected date

-

mp saved date

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mp size orig

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mp size raw text

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Open Graph

title

TAIL

description

The demo site for Bulma Clean Theme, made for Jekyll and GitHub pages websites

image

site name

TAIL Robots

author

updated

2026-03-02 14:51:06

raw text

TAIL | TAIL Robots TAIL Robots Home System Description TAIL TAIL-Plus Download Benchmark Datasets Links Contact TAIL A Terrain-Aware Multi-Modal SLAM Dataset in Deformable Granular Environments TAIL ( T errain- A ware Mult I -Mode L ) SLAM dataset Terrain-aware perception holds the potential to improve the robustness and accuracy of autonomous robot navigation in unstructured environments, thereby facilitating effective off-road traversals. TAIL ( T errain- A ware Mult I -Mode L ) dataset is proposed to support research in navitation for traversing through deformable, granular terrains utilizing wheeled and legged robots. The overall goal of the TAIL dataset is to help developing SLAM techniques for different robot platforms in unstructured, deformable sandy terrains. Main characteristics Recorded data are from multiple sensors, including a 3D LiDAR, a stereo frame camera, three ground-pointing RGB-D cameras, an IMU and an RTK-GPS devic...

Text analysis

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1 (English)

category id

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RSS

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Sitemap

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