Tootfinder

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation
Ning Gao, Yilun Chen, Shuai Yang, Xinyi Chen, Yang Tian, Hao Li, Haifeng Huang, Hanqing Wang, Tai Wang, Jiangmiao Pang
https://arxiv.org/abs/2506.10966

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation
Robotic manipulation in real-world settings remains challenging, especially regarding robust generalization. Existing simulation platforms lack sufficient support for exploring how policies adapt to varied instructions and scenarios. Thus, they lag behind the growing interest in instruction-following foundation models like LLMs, whose adaptability is crucial yet remains underexplored in fair comparisons. To bridge this gap, we introduce GenManip, a realistic tabletop simulation platform tailore…

I had a bad day and made a mistake, but I chose to do the right thing and move forward.
Proud bisexual, gender-fluid, autistic anarchist committed to building a world based on mutual aid, solidarity, and freedom for all.
If you believe in challenging power and creating change from the ground up, let’s connect and let’s grow this movement together.
Now, here I am, feeling stronger and ready for better days ahead.

Cowboys defense named 'perfect fit' for recently released star LB https://www.si.com/nfl/cowboys/dallas-cowboys-defense-named-perfect-fit-recently-released-star-linebacker

Last leg on our brief history of NLP (so far) is the advent of large language models with GPT-3 in 2020 and the introduction of learning from the prompt (aka few-shot learning).
T. B. Brown et al. (2020). Language models are few-shot learners. NIPS'20
https://…

The Trump administration found
“no viable path” forward
to complete California’s high-speed rail project
following a nearly four-month investigation that jeopardizes
$4 billion in federal funding.
In a 310-page compliance review released Wednesday,
the Department of Transportation cited budget shortfalls,
missed deadlines and a misleading projected ridership to connect San Francisco to Los Angeles via fast rail.
The review targets federal gran…

Trump administration moves to pull funding on high-speed rail
The Trump administration could pull $4 billion in federal funding from California's high-speed rail project within 37 days, following a Department of Transportation compliance review.

Light Dark Matter Detection with Sub-eV Transition-Edge Sensors
Muping Chen, Volodymyr Takhistov, Kazunori Nakayama, Kaori Hattori
https://arxiv.org/abs/2506.10070

Light Dark Matter Detection with Sub-eV Transition-Edge Sensors
We present a comprehensive analysis of high-resolution transition-edge sensors (TESs) as a quantum sensing platform for detecting dark matter (DM). Operating near the thermodynamic noise limit with sub-eV energy resolution, TESs offer a powerful approach for probing light DM in the sub-GeV mass range. Optical TESs, realized on superconducting films with critical temperatures below 150 mK, achieve energy thresholds below 100 meV and enable precise calorimetric detection of individual energy depo…

Compact magnetic field cycling system with the range from nT to 9.4 T exemplified with 13C relaxation dispersion and SABRE-SHEATH hyperpolarization
Josh P. Peters, Charbel D. Assaf, Jan-Bernd H\"ovener, Andrey N. Pravdivtsev
https://arxiv.org/abs/2506.08711

Compact magnetic field cycling system with the range from nT to 9.4 T exemplified with 13C relaxation dispersion and SABRE-SHEATH hyperpolarization
We present a compact magnetic field cycling system for high-resolution NMR spectrometers. The system enables the transfer of the sample from B0 field of 9.4 T to about nT and all fields in between within 1 second. Utilizing a flexible gear rod made the shuttling system more compact, reducing the height to about the height required for filling liquid helium - hence, it can be installed in average-size NMR laboratories (the height of NMR with MFC is only 3.32 m). The system utility is exemplified…

This https://arxiv.org/abs/2501.03341 has been replaced.
initial toot: https://mastoxiv.page/@…

Dynamic scaling theory for a field quench near the Kasteleyn transition in spin ice
We present a dynamic scaling theory to describe relaxation dynamics following a magnetic-field quench near an unconventional phase transition in the magnetic material spin ice. Starting from a microscopic model, we derive an effective description for the critical dynamics in terms of the seeding and growth of string excitations, and use this to find scaling forms in terms of time, reduced temperature and monopole fugacity. We confirm the predictions of scaling theory using Monte Carlo simulatio…

Topotactic oxidation of Ruddlesden-Popper nickelates reveals new structural family: oxygen-intercalated layered perovskites
Dan Ferenc Segedin, Jinkwon Kim, Harrison LaBollita, Nicole K. Taylor, Kyeong-Yoon Baek, Suk Hyun Sung, Ari B. Turkiewicz, Grace A. Pan, Abigail Y. Jiang, Maria Bambrick-Santoyo, Tobias Schwaigert, Casey K. Kim, Anirudh Tenneti, Alexander J. Grutter, Shin Muramoto, Alpha T. N'Diaye, Ismail El Baggari, Donald A. Walko, Hua Zhou, Charles M. Brooks, Antia S. Bota…

Topotactic oxidation of Ruddlesden-Popper nickelates reveals new structural family: oxygen-intercalated layered perovskites
Layered perovskites such as the Dion-Jacobson, Ruddlesden-Popper, and Aurivillius families host a wide range of correlated electron phenomena, from high-temperature superconductivity to multiferroicity. Here we report a new family of layered perovskites, realized through topotactic oxygen intercalation of La_{n+1}Ni_{n}O_{3n+1} (n=1-4) Ruddlesden-Popper nickelate thin films grown by ozone-assisted molecular-beam epitaxy. Post-growth ozone annealing induces a large c-axis expansion - 17.8% for L…

RationalVLA: A Rational Vision-Language-Action Model with Dual System
Wenxuan Song, Jiayi Chen, Wenxue Li, Xu He, Han Zhao, Pengxiang Ding Shiyan Su, Feilong Tang, Xuelian Cheng, Donglin Wang, Zongyuan Ge, Xinhu Zheng, Zhe Liu, Hesheng Wang, Yunhui Liu, Haoang Li
https://arxiv.org/abs/2506.10826

RationalVLA: A Rational Vision-Language-Action Model with Dual System
A fundamental requirement for real-world robotic deployment is the ability to understand and respond to natural language instructions. Existing language-conditioned manipulation tasks typically assume that instructions are perfectly aligned with the environment. This assumption limits robustness and generalization in realistic scenarios where instructions may be ambiguous, irrelevant, or infeasible. To address this problem, we introduce RAtional MAnipulation (RAMA), a new benchmark that challen…