Main

processing priority

3

site type

0 (generic, awaiting analysis)

review version

11

html import

20 (imported)

Events

first seen date

2024-11-22 13:26:14

expired found date

-

created at

2024-11-22 13:26:14

updated at

2024-11-22 13:26:15

Domain name statistics

length

17

crc

8397

tld

86

nm parts

0

nm random digits

0

nm rare letters

0

Connections

is subdomain of id

87719371 (github.io)

previous id

0

replaced with id

0

related id

-

dns primary id

0

dns alternative id

0

lifecycle status

0 (unclassified, or currently active)

Subdomains and pages

deleted subdomains

0

page imported products

0

page imported random

0

page imported parking

0

Error counters

count skipped due to recent timeouts on the same server IP

0

count content received but rejected due to 11-799

0

count dns errors

0

count cert errors

0

count timeouts

0

count http 429

0

count http 404

0

count http 403

0

count http 5xx

0

next operation date

-

Server

server bits

server ip

-

Mainpage statistics

mp import status

20

mp rejected date

-

mp saved date

-

mp size orig

47905

mp size raw text

3729

mp inner links count

0

mp inner links status

1 (no links)

Open Graph

title

description

Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach.

image

site name

author

updated

2026-02-18 09:35:02

raw text

TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach Weikun Peng 1 , Jun Lv 2 , Yuwei Zeng 1 , Haonan Chen 3 , Siheng Zhao 3 , Jichen Sun 2 , Cewu Lu 2 , Lin Shao 1,&#10013 1 National University of Singapore, 2 Shanghai Jiao Tong University, 3 Nanjing University &#10013 Corresponding Author CoRL 2024 (Oral) arXiv Abstract The tie-knotting task is highly challenging due to the tie's high deformation and long-horizon manipulation actions. This work presents TieBot, a Real-to-Sim-to-Real learning from visual demonstration system for the robots to learn to knot a tie. We introduce the Hierarchical Feature Matching approach to estimate a sequenc...

Text analysis

redirect type

0 (-)

block type

0 (no issues)

detected language

1 (English)

category id

Edukacja (47)

index version

1

spam phrases

0

Text statistics

text nonlatin

0

text cyrillic

0

text characters

2625

text words

475

text unique words

198

text lines

76

text sentences

24

text paragraphs

5

text words per sentence

19

text matched phrases

0

text matched dictionaries

0

RSS

rss path

rss status

1 (priority 1 already searched, no matches found)

rss found date

-

rss size orig

0

rss items

0

rss spam phrases

0

rss detected language

0 (awaiting analysis)

inbefore feed id

-

inbefore status

0 (new)

Sitemap

sitemap path

sitemap status

1 (priority 1 already searched, no matches found)

sitemap review version

2

sitemap urls count

0

sitemap urls adult

0

sitemap filtered products

0

sitemap filtered videos

0

sitemap found date

-

sitemap process date

-

sitemap first import date

-

sitemap last import date

-