Tootfinder

Humanoid Robot Games highlighted robotics advancements but also limitations, with robots tripping over each other; one robot ran faster than many amateur humans (Yan Zhuang/New York Times)
https://www.nytimes.com/2025/08/18/world/asia/china-humanoid-robot-games.…

At China’s Humanoid Robot Games, Athletes Fell Down a Lot
The Humanoid Robot Games in Beijing — featuring running, kickboxing and soccer — highlighted advancements in robotics. Limitations, too.

Der vorherige Premierminister Israels, Ehud Olmert, sagt die sogenannte „humanitäre Stadt” welche Netanyahu im Gazastreifen bauen will, sei ein Konzentrationslager.
https://www.theguardian.com/world/2025/jul/13/i…

Neuer Job: Humanoider Roboter-Marathon-Gewinner testet Laufschuhe
Der humanoide Tien-Kung-Roboter testet Laufschuhe und ermittelt dabei Leistungsdaten. Die sind besser und schneller verfügbar, als die von menschlichen Testern.

#DH2025 thanks @flochiff.bsky.social for sharing this link as I wanted to follow up on Pandore! 'Pandore: automating text-processing workflows for humanities researchers' from Sorbonne Université and ObTIC - Observatoire des textes, des idées et des corpus

Most United Nations workers killed on duty last year were killed by Israel in Palestinian territories, 181 out of 383.
"(...)383 aid workers were confirmed killed in the line of duty last year(...)"
"The [Gaza] Strip saw 181 humanitarian workers killed in 2024, with 60 more fatalities in Sudan. More widely, violence against aid workers increased in 21 countries in 2024 compared to the previous year, with State actors the most common perpetrators".

World Humanitarian Day 2025: Aid workers mull record toll of their own
With the news on Tuesday that a record 383 aid workers were confirmed killed in the line of duty last year, one veteran UN aid worker based in Gaza reaffirmed the resolve of humanitarians everywhere to save lives and relieve suffering, no matter how challenging the situation.

Humanoid Motion Scripting with Postural Synergies
Rhea Malhotra, William Chong, Catie Cuan, Oussama Khatib
https://arxiv.org/abs/2508.12184 https://arxiv.o…

Humanoid Motion Scripting with Postural Synergies
Generating sequences of human-like motions for humanoid robots presents challenges in collecting and analyzing reference human motions, synthesizing new motions based on these reference motions, and mapping the generated motion onto humanoid robots. To address these issues, we introduce SynSculptor, a humanoid motion analysis and editing framework that leverages postural synergies for training-free human-like motion scripting. To analyze human motion, we collect 3+ hours of motion capture data …

The Cybersecurity of a Humanoid Robot
V\'ictor Mayoral-Vilches
https://arxiv.org/abs/2509.14096 https://arxiv.org/pdf/2509.14096

The Cybersecurity of a Humanoid Robot
The rapid advancement of humanoid robotics presents unprecedented cybersecurity challenges that existing theoretical frameworks fail to adequately address. This report presents a comprehensive security assessment of a production humanoid robot platform, bridging the gap between abstract security models and operational vulnerabilities. Through systematic static analysis, runtime observation, and cryptographic examination, we uncovered a complex security landscape characterized by both sophistica…

#DH2025, we're delighted to share a Turing's Humanities and Data Science event in Oxford and online on 25th Sept with a panel asking: 'How far can data science and the humanities help to answer each other’s questions?'
Express your interest here:

Network power: the humanities and data science in collaboration

Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids
Kaizhe Hu, Haochen Shi, Yao He, Weizhuo Wang, C. Karen Liu, Shuran Song
https://arxiv.org/abs/2508.12252

Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids
Simulation-based reinforcement learning (RL) has significantly advanced humanoid locomotion tasks, yet direct real-world RL from scratch or adapting from pretrained policies remains rare, limiting the full potential of humanoid robots. Real-world learning, despite being crucial for overcoming the sim-to-real gap, faces substantial challenges related to safety, reward design, and learning efficiency. To address these limitations, we propose Robot-Trains-Robot (RTR), a novel framework where a rob…

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