Tootfinder

FreeTacMan: Robot-free Visuo-Tactile Data Collection System for Contact-rich Manipulation
Longyan Wu, Checheng Yu, Jieji Ren, Li Chen, Ran Huang, Guoying Gu, Hongyang Li
https://arxiv.org/abs/2506.01941

FreeTacMan: Robot-free Visuo-Tactile Data Collection System for Contact-rich Manipulation
Enabling robots with contact-rich manipulation remains a pivotal challenge in robot learning, which is substantially hindered by the data collection gap, including its inefficiency and limited sensor setup. While prior work has explored handheld paradigms, their rod-based mechanical structures remain rigid and unintuitive, providing limited tactile feedback and posing challenges for human operators. Motivated by the dexterity and force feedback of human motion, we propose FreeTacMan, a human-ce…

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Unraveling Global Threads: Pandemic, Geopolitical Conflict, and Resilience in Fashion and Textile Supply Chain
Md. Al-Amin, Muneeb Tahir, Amit Talukder, Abdullah Al Mamun, Md Tanjim Hossain, Nigar Sultana
https://arxiv.org/abs/2507.00207

Unraveling Global Threads: Pandemic, Geopolitical Conflict, and Resilience in Fashion and Textile Supply Chain
Several noteworthy scenarios emerged in the global textile and fashion supply chains during and after the COVID-19 pandemic. The destabilizing influences of a global pandemic and a geographically localized conflict are being acutely noticed in the worldwide fashion and textile supply chains. This work examines the impact of the COVID-19 pandemic, the Russo-Ukraine conflict, Israel-Palestine conflict, and Indo-Pak conflict on supply chains within the textile and fashion industry. This research e…

Delay Bound Relaxation with Deep Learning-based Haptic Estimation for Tactile Internet
Georgios Kokkinis, Alexandros Iosifidis, Qi Zhang
https://arxiv.org/abs/2507.00571

Delay Bound Relaxation with Deep Learning-based Haptic Estimation for Tactile Internet
Haptic teleoperation typically demands sub-millisecond latency and ultra-high reliability (99.999%) in Tactile Internet. At a 1 kHz haptic signal sampling rate, this translates into an extremely high packet transmission rate, posing significant challenges for timely delivery and introducing substantial complexity and overhead in radio resource allocation. To address this critical challenge, we introduce a novel DL modelthat estimates force feedback using multi-modal input, i.e. both force measu…

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https://laurieshawofficial.bandcamp.com/track/shout-to-the-top-style-council-cover
https://open.spotify.com/track/0mF5QmsOJq5w3FqGMjycII

DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
Yongkang Xiao, Sinian Zhang, Yi Dai, Huixue Zhou, Jue Hou, Jie Ding, Rui Zhang
https://arxiv.org/abs/2506.00708

DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
Knowledge graph completion (KGC) aims to predict missing triples in knowledge graphs (KGs) by leveraging existing triples and textual information. Recently, generative large language models (LLMs) have been increasingly employed for graph tasks. However, current approaches typically encode graph context in textual form, which fails to fully exploit the potential of LLMs for perceiving and reasoning about graph structures. To address this limitation, we propose DrKGC (Dynamic Subgraph Retrieval-…

This https://arxiv.org/abs/2505.18361 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain
Tactile sensing remains far less understood in neuroscience and less effective in artificial systems compared to more mature modalities such as vision and language. We bridge these gaps by introducing a novel Encoder-Attender-Decoder (EAD) framework to systematically explore the space of task-optimized temporal neural networks trained on realistic tactile input sequences from a customized rodent whisker-array simulator. We identify convolutional recurrent neural networks (ConvRNNs) as superior …

EVOKS (Editor for Vocabularies to Know Semantics) "allows you to:
- create a #SKOS vocabulary from scratch
- import SKOS vocabularies in RDF/XML or Turtle format
- edit SKOS vocabularies without using its textual representation
- work collaborativley
- publish the vocabulary with a single click in the vocabulary browser

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https://mstdn.ca/@CycleWR/…

CycleWR (@CycleWR@mstdn.ca)
Attached: 1 image Tuesday is World Bicycle Day! It’s also day one of the Vélo Canada Bikes annual pedal poll 😀🚴🏼‍♀️ There’s still time to claim your volunteer count shift to help collect crucial cycling data. The poll runs all across Canada. We're focussed on Waterloo Region, but there's a good chance it's happening where you live. We need more safe places to ride and this is how we prove it. Sign up for a shift & join the movement! #Cycling #PedalPollSondoVelo #Waterlo…