Tootfinder

McKinsey expects the European demand-side flexibility market to grow to €12 billion by 2030, with a €2 billion residential portion.
https://www.mckinsey.com/industries/electric-power-and-natural-…

Unlocking Zero-Shot Plant Segmentation with Pl@ntNet Intelligence
Simon Rav\'e, Jean-Christophe Lombardo, Pejman Rasti, Alexis Joly, David Rousseau
https://arxiv.org/abs/2510.12579

Unlocking Zero-Shot Plant Segmentation with Pl@ntNet Intelligence
We present a zero-shot segmentation approach for agricultural imagery that leverages Plantnet, a large-scale plant classification model, in conjunction with its DinoV2 backbone and the Segment Anything Model (SAM). Rather than collecting and annotating new datasets, our method exploits Plantnet's specialized plant representations to identify plant regions and produce coarse segmentation masks. These masks are then refined by SAM to yield detailed segmentations. We evaluate on four publicly avai…

"What are transition credits? Philippines takes novel approach to coal phase-out"
#Phillippines #Coal #FossilFuels

Could ‘transition credits’ be the key to unlocking a coal-free Asia?
This novel take on carbon credits could cure Asia's coal addiction - but critics are sceptical.

New Tool Reads DNA and RNA in a Single Cell, Unlocking Secrets of Disease
https://scitechdaily.com/new-tool-reads-dna-and-rna-in-a-single-cell-unlocking-secrets-of-disease/

Someone Snuck Into a Cellebrite Microsoft Teams Call and Leaked Phone Unlocking Details
https://www.404media.co/someone-snuck-into-a-cellebrite-microsoft-teams-call-and-leaked-phone-unlocking-details/

Someone Snuck Into a Cellebrite Microsoft Teams Call and Leaked Phone Unlocking Details
The leaked slide focuses on Google Pixel phones and mentions those running the security-focused GrapheneOS operating system.

As an online business consultant, I empower seniors to excel physically and financially, unlocking new growth opportunities daily. What's one inspiring lesson you've learned lately? Let's share ideas and build a brighter future! 🌟 #EmpowerSeniors #LifeLongLearning

'Bound to browsable' - love this detailed overview of the work that goes into making specific formats (like magazines) more findable in online catalogues https://blogs.loc.gov/thesignal/2025/09/unlocking-historical-media-publications/

Bound to Browsable: Unlocking the Historical Media Publications Collection | The Signal
This post details the exciting transformation of the Historical Media Publications Collection, a challenging digital collection of historical media industry magazines spanning the late 19th to mid-20th century. Expanding online presentation from dense bound volumes into searchable, issue-level resources, this collaborative project improved discoverability and usability of this collection and set a foundation for working with other serialized content though innovative new workflows and next-gene…

Unlocking Thickness Modeling for Codimensional Contact Simulation
Gonzalo Gomez-Nogales, Zhen Chen, Rosalie Martin, Elena Garces, Danny M. Kaufman
https://arxiv.org/abs/2510.10256

Unlocking Thickness Modeling for Codimensional Contact Simulation
In this work we analyze and address a fundamental restriction that blocks the reliable application of codimensional yarn-level and shell models with thickness, to simulate real-world woven and knit fabrics. As discretizations refine toward practical and accurate physical modeling, such models can generate non-physical contact forces with stencil-neighboring elements in the simulation mesh, leading to severe locking artifacts. While not well-documented in the literature, this restriction has so …

Unlocking New Frontiers: The Versatile Potential of the Brazilian Multipurpose Reactor
Luiz P. de Oliveira, Alexandre P. S. Souza, Carlos G. S. Santos, Iber\^e R. S. J\'unior, Barbara P. G. Silva, Marco A. S. Pereira, Frederico A. Genezini, Jos\'e A. Perrotta
https://arxiv.org/abs/2510.10657

Unlocking New Frontiers: The Versatile Potential of the Brazilian Multipurpose Reactor
The multipurpose nature of nuclear research reactors has been investigated. This class of reactors has gained momentum within the international community, given the multiple benefits of nuclear technology in medicine, agriculture, industry, and the development of new materials, being characterized by the simultaneous use of several applications. In this context, Brazil has recently joined the group of countries with multipurpose reactor projects. The Brazilian Multipurpose Reactor (RMB) will be…

Robot Learning: A Tutorial
Francesco Capuano, Caroline Pascal, Adil Zouitine, Thomas Wolf, Michel Aractingi
https://arxiv.org/abs/2510.12403 https://arxiv.…

Robot Learning: A Tutorial
Robot learning is at an inflection point, driven by rapid advancements in machine learning and the growing availability of large-scale robotics data. This shift from classical, model-based methods to data-driven, learning-based paradigms is unlocking unprecedented capabilities in autonomous systems. This tutorial navigates the landscape of modern robot learning, charting a course from the foundational principles of Reinforcement Learning and Behavioral Cloning to generalist, language-conditione…

Unlocking High-Throughput Heterojunction Discovery
Thomas W. Gries, Davide Regaldo, Yanyan Duan, Florian Scheler, Maxim Simmonds, Valerio Stacchini, Annamaria Petrozza, Eva Unger, Antonio Abate, Jean-Paul Kleider, Artem Musiienko
https://arxiv.org/abs/2510.11548

Unlocking High-Throughput Heterojunction Discovery
Photoluminescence (PL) is a ubiquitous proxy for material quality in optoelectronic devices, widely used for high-throughput materials discovery. However, we demonstrate that in the presence of charge-selective contacts, PL loses its predictive reliability and can exhibit strong quenching even in highly efficient photovoltaic devices under open-circuit conditions. By combining steady-state and transient PL with contactless transient surface photovoltage measurements we disentangle the intertwin…

Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding
Wafaa Mohammed, Vlad Niculae, Chrysoula Zerva
https://arxiv.org/abs/2510.06866 https://

Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding
Large language models (LLMs) have emerged as strong contenders in machine translation.Yet, they still struggle to adequately handle discourse phenomena, such as pronoun resolution and lexical cohesion at the document level. In this study, we thoroughly investigate the discourse phenomena performance of LLMs in context-aware translation. We demonstrate that discourse knowledge is encoded within LLMs and propose the use of quality-aware decoding (QAD) to effectively extract this knowledge, showca…

While China’s older tech pioneers tend to idolize Silicon Valley,
younger founders find their role models in people such as
DeepSeek’s Liang Wenfeng and
Unitree’s Wang Xingxing
— both of whom studied exclusively at Chinese universities and are known to predominantly hire domestic talent.

A December analysis from Citi GPS projected that the world would be populated by 648 million humanlike bots by 2050,
unlocking an enduring production advantage and immen…

The Chinese robots are coming
China is miles ahead in the race to dominate a technology that could define the 21st century.

Unlocking the initial neutron density distribution from the two-pion HBT correlation function in heavy-ion collisions
Pengcheng Li, Manzi Nan, Haojie Zhang, Junhuai Xu, Xilong Xiang, Yijie Wang, Yongjia Wang, Gaochan Yong, Tadaaki Isobe, Zhigang Xiao, Qingfeng Li
https://arxiv.org/abs/2510.12226

Unlocking the initial neutron density distribution from the two-pion HBT correlation function in heavy-ion collisions
Revealing the neutron density distribution in the nucleus is one of the crucial tasks of nuclear physics. Within the framework of the ultrarelativistic quantum molecular dynamic model followed by a correlation afterburner program, we investigate the effects of the initial neutron density distribution on the charged-pion yield ratio $π^{-}/π^{+}$, the two-pion momentum correlation function, and the emission source dimension. It is found that the $π^{-}/π^{+}$ ratio is sensitive to the initia…

Someone Snuck Into a Cellebrite Microsoft Teams Call and Leaked Phone Unlocking Details
https://www.404media.co/someone-snuck-into-a-cellebrite-microsoft-teams-call-and-leaked-phone-unlocking-details/

Dynamic Line Ratings in AC Optimal Power Flow: Transient Temperature, Decomposition, and Large-scale Evaluation
Baptiste Rabecq, Thomas Lee, Andy Sun
https://arxiv.org/abs/2510.10832

Dynamic Line Ratings in AC Optimal Power Flow: Transient Temperature, Decomposition, and Large-scale Evaluation
As power grids experience increasing renewable penetration and rapid load growth from AI data centers and electrification, alleviating line congestion becomes critical to unlocking additional grid capacity. This work investigates Dynamic Line Rating (DLR), a congestion mitigation method that adjusts power line current limits in response to meteorological conditions. Unlike traditional approaches that impose predefined time-varying limits, we propose a novel optimization framework that embeds th…

Need another reason to move to @… ?
"Cellebrite does support, for example, Pixel 9 devices BFU. Meanwhile the screenshot indicates #Cellebrite cannot unlock #Pixel

Someone Snuck Into a Cellebrite Microsoft Teams Call and Leaked Phone Unlocking Details
The leaked slide focuses on Google Pixel phones and mentions those running the security-focused GrapheneOS operating system.

Unlocking AGN Variability with Custom ZTF Photometry for High-Fidelity Light Curves and Robust Selection
P. Ar\'evalo (U. de Valpara\'iso, Chile), P. S\'anchez-S\'aez (ESO, Garching), B. Sotomayor (ESO, Garching), P. Lira (U. de Chile), F. E. Bauer (U. de Tarapac\'a, Chile), S. R\'ios (U. de Chile)
https://arxiv.org…

Unlocking AGN Variability with Custom ZTF Photometry for High-Fidelity Light Curves and Robust Selection
(Abridged)We explore the potential of optical variability selection methods to identify AGN, including those challenging to detect with conventional techniques. Using the unprecedented combination of depth, sky coverage, and cadence of the ZTF survey, we target even starlight-dominated AGN, known for their redder colours, weaker variability signals, and difficult nuclear photometry due to their resolved hosts. We perform aperture photometry on ZTF reference-subtracted images for 40 million sour…

Manipulating the metal-insulator transitions in correlated vanadium dioxide through bandwidth and band-filling control
Xiaohui Yao, Jiahui Ji, Xuanchi Zhou
https://arxiv.org/abs/2510.10183

Manipulating the metal-insulator transitions in correlated vanadium dioxide through bandwidth and band-filling control
The metal-insulator transition (MIT) in correlated oxide systems opens up a new paradigm to trigger the abruption in multiple physical functionalities, enabling the possibility in unlocking exotic quantum states beyond conventional phase diagram. Nevertheless, the critical challenge for practical device implementation lies in achieving the precise control over the MIT behavior of correlated system across a broad temperature range, ensuring the operational adaptability in diverse environments. H…

LongRM: Revealing and Unlocking the Context Boundary of Reward Modeling
Zecheng Tang, Baibei Ji, Quantong Qiu, Haitian Wang, Xiaobo Liang, Juntao Li, Min Zhang
https://arxiv.org/abs/2510.06915

LongRM: Revealing and Unlocking the Context Boundary of Reward Modeling
Reward model (RM) plays a pivotal role in aligning large language model (LLM) with human preferences. As real-world applications increasingly involve long history trajectories, e.g., LLM agent, it becomes indispensable to evaluate whether a model's responses are not only high-quality but also grounded in and consistent with the provided context. Yet, current RMs remain confined to short-context settings and primarily focus on response-level attributes (e.g., safety or helpfulness), while largel…

Anyone else's MacBook Pro (M1) started ‘hot bagging', and unlocking with their watch *when closed*? I notice it this week that if I plug it in, evne wiht ~100% charge, and get warm And today it unlocked when I plugged it in. With the lid closed. 😬

Someone Snuck Into a Cellebrite Microsoft Teams Call and Leaked Phone Unlocking Details - Slashdot
https://yro.slashdot.org/story/25/10/31/0028256/someone-snuck-into-a-cellebrite-microsoft-teams-call-and-leaked-phone-unlocking-details

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[5/7]:
- Unlocking Dataset Distillation with Diffusion Models
Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel

Unlocking Symbol-Level Precoding Efficiency Through Tensor Equivariant Neural Network
Jinshuo Zhang, Yafei Wang, Xinping Yi, Wenjin Wang, Shi Jin, Symeon Chatzinotas, Bj\"orn Ottersten
https://arxiv.org/abs/2510.02108

Unlocking Symbol-Level Precoding Efficiency Through Tensor Equivariant Neural Network
Although symbol-level precoding (SLP) based on constructive interference (CI) exploitation offers performance gains, its high complexity remains a bottleneck. This paper addresses this challenge with an end-to-end deep learning (DL) framework with low inference complexity that leverages the structure of the optimal SLP solution in the closed-form and its inherent tensor equivariance (TE), where TE denotes that a permutation of the input induces the corresponding permutation of the output. Build…

SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving
Qihui Zhou, Peiqi Yin, Pengfei Zuo, James Cheng
https://arxiv.org/abs/2509.24626 http…

SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving
Serving long-context LLMs is costly because attention computation grows linearly with context length. Dynamic sparse attention algorithms (DSAs) mitigate this by attending only to the key-value (KV) cache of critical tokens. However, with DSAs, the main performance bottleneck shifts from HBM bandwidth to HBM capacity: KV caches for unselected tokens must remain in HBM for low-latency decoding, constraining parallel batch size and stalling further throughput gains. Offloading these underutilized…

Australia is connecting Snowy 2.0 to the grid with 800 new transmission towers, unlocking 2.2 GW of renewable power.
Vikram Solar opened a 5 GW plant in Tamil Nadu, scaling India's solar capacity.
Bolivia created the Loma Santa Indigenous Conservation Area, protecting Amazon forests under Indigenous stewardship.
Sign up for the For People And Planet climate solutions digest:

Weekly Climate Solutions Digest
Welcome Early December settles in. In the north, frost filigrees the last leaves and Orion lifts above. It is a good week to pay attention to what connects. That is the thread running through our stories. New lines knit a giant alpine battery into Australia's grid. A factory in Tamil

Group Diffusion: Enhancing Image Generation by Unlocking Cross-Sample Collaboration
Sicheng Mo, Thao Nguyen, Richard Zhang, Nick Kolkin, Siddharth Srinivasan Iyer, Eli Shechtman, Krishna Kumar Singh, Yong Jae Lee, Bolei Zhou, Yuheng Li
https://arxiv.org/abs/2512.10954

The current AI investment boom will spark a "wildfire" that wipes out some companies, yet bolsters and enables others by unlocking GPUs, energy, and talent (Dion Lim/CEO Dinner Insights)
https://ceodinner.substack.com/p/the-ai-wildfire-is-coming-its-going

The AI Wildfire Is Coming. It's Going to be Very Painful and Incredibly Healthy.
AI won’t crash—it will burn. Like every tech cycle, the fire will clear the brush, redistribute talent, and leave infrastructure to power what comes next. The question is: what kind of plant are you?

Unlocking ceramic 3D printing for next-generation chemical reactors
#materials #chemistry #ceramic #manufacturing

Unlocking ceramic 3D printing for next-generation chemical reactors
Scientists at the U.S. Department of Energy's Oak Ridge National Laboratory have integrated binder jet additive manufacturing with an advanced post-processing method to fabricate leak‐tight ceramic components, overcoming a key challenge of ceramic additive manufacturing.

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[3/9]:
- SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization
Sun, Liao, Han, Bai, Gao, Fu, Shen, Wan, Yan, Zhang, Huang

Unlocking the Potential of Soft Actor-Critic for Imitation Learning
Nayari Marie Lessa, Melya Boukheddimi, Frank Kirchner
https://arxiv.org/abs/2509.24539 https://

Unlocking the Potential of Soft Actor-Critic for Imitation Learning
Learning-based methods have enabled robots to acquire bio-inspired movements with increasing levels of naturalness and adaptability. Among these, Imitation Learning (IL) has proven effective in transferring complex motion patterns from animals to robotic systems. However, current state-of-the-art frameworks predominantly rely on Proximal Policy Optimization (PPO), an on-policy algorithm that prioritizes stability over sample efficiency and policy generalization. This paper proposes a novel IL f…

Unlocking Vision-Language Models for Video Anomaly Detection via Fine-Grained Prompting
Shu Zou, Xinyu Tian, Lukas Wesemann, Fabian Waschkowski, Zhaoyuan Yang, Jing Zhang
https://arxiv.org/abs/2510.02155

Unlocking Vision-Language Models for Video Anomaly Detection via Fine-Grained Prompting
Prompting has emerged as a practical way to adapt frozen vision-language models (VLMs) for video anomaly detection (VAD). Yet, existing prompts are often overly abstract, overlooking the fine-grained human-object interactions or action semantics that define complex anomalies in surveillance videos. We propose ASK-Hint, a structured prompting framework that leverages action-centric knowledge to elicit more accurate and interpretable reasoning from frozen VLMs. Our approach organizes prompts into…

"EU greenlights 100 hydrogen projects in major energy transformation plan"
#EU #EuropeanUnion #Hydrogen #Energy

EU greenlights 100 hydrogen projects in major energy transformation plan | The Optimist Daily
The EU approves 100 cross-border hydrogen and electrolyzer projects, accelerating clean energy infrastructure and unlocking funding across Europe.

Reliability Analysis of Fully Homomorphic Encryption Systems Under Memory Faults
Rian Adam Rajagede, Yan Solihin
https://arxiv.org/abs/2509.20686 https://a…

Reliability Analysis of Fully Homomorphic Encryption Systems Under Memory Faults
Fully Homomorphic Encryption (FHE) represents a paradigm shift in cryptography, enabling computation directly on encrypted data and unlocking privacy-critical computation. Despite being increasingly deployed in real platforms, the reliability aspects of FHE systems, especially how they respond to faults, have been mostly neglected. This paper aims to better understand of how FHE computation behaves in the presence of memory faults, both in terms of individual operations as well as at the level …

From Fixed to Fluid: Unlocking the New Potential with Fluid RIS (FRIS)
Han Xiao, Xiaoyan Hu, Kai-Kit Wong, Xusheng Zhu, Hanjiang Hong, Farshad Rostami Ghadi, Hao Xu, Chan-Byoung Chae
https://arxiv.org/abs/2509.18899

De novo peptide sequencing rescoring and FDR estimation with Winnow
Amandla Mabona, Jemma Daniel, Henrik Servais Janssen Knudsen, Rachel Catzel, Kevin Michael Eloff, Erwin M. Schoof, Nicolas Lopez Carranza, Timothy P. Jenkins, Jeroen Van Goey, Konstantinos Kalogeropoulos
https://arxiv.org/abs/2509.24952

De novo peptide sequencing rescoring and FDR estimation with Winnow
Machine learning has markedly advanced de novo peptide sequencing (DNS) for mass spectrometry-based proteomics. DNS tools offer a reliable way to identify peptides without relying on reference databases, extending proteomic analysis and unlocking applications into less-charted regions of the proteome. However, they still face a key limitation. DNS tools lack principled methods for estimating false discovery rates (FDR) and instead rely on model-specific confidence scores that are often miscalib…

BroRL: Scaling Reinforcement Learning via Broadened Exploration
Jian Hu, Mingjie Liu, Ximing Lu, Fang Wu, Zaid Harchaoui, Shizhe Diao, Yejin Choi, Pavlo Molchanov, Jun Yang, Jan Kautz, Yi Dong
https://arxiv.org/abs/2510.01180

BroRL: Scaling Reinforcement Learning via Broadened Exploration
Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a key ingredient for unlocking complex reasoning capabilities in large language models. Recent work ProRL has shown promise in scaling RL by increasing the number of training steps. However, performance plateaus after thousands of steps, with clear diminishing returns from allocating more computation to additional training. In this work, we investigate a complementary paradigm for scaling RL, BroR-Lincreasing the number of rol…

Replaced article(s) found for cs.CY. https://arxiv.org/list/cs.CY/new
[1/1]:
- Unlocking the Potential of AI Researchers in Scientific Discovery: What Is Missing?
Hengjie Yu, Shuya Liu, Haiyun Yang, Yuping Yan, Maozhen Qu, Yaochu Jin

Broadband Waveguide-Coupled Photodetectors in a Submicrometer-Wavelength Silicon Photonics Platform
Alperen Govdeli, Jared C. Mikkelsen, Engjell Bebeti, Hongyao Chua, Guo-Qiang Lo, Joyce K. S. Poon, Wesley D. Sacher
https://arxiv.org/abs/2509.23353

Broadband Waveguide-Coupled Photodetectors in a Submicrometer-Wavelength Silicon Photonics Platform
Advances in silicon (Si) photonics at submicrometer wavelengths are unlocking new opportunities to realize miniaturized, scalable optical systems for biophotonics, quantum information, imaging, spectroscopy, and displays. Addressing this array of applications with a single integrated photonics technology requires the development of high-performance active components compatible with both visible and near-infrared light. Here, we report waveguide-coupled photodetectors monolithically integrated i…

"Tennet to grant grid access to 6 GW of Dutch battery projects"
#Netherlands #Batteries #Energy

Tennet to grant grid access to 6 GW of Dutch battery projects
After unlocking more than 9 GW of high-voltage grid capacity through flexible off-peak contracts, Dutch transmission system operator Tennet is set to allocate roughly two-thirds of the connection rights to battery energy storage systems.

High-Fidelity Simulations of the Full Askaryan Radio Array and its Sensitivity to Ultra-High Energy Neutrinos
Abigail Bishop (for the ARA Collaboration), Alan Salcedo Gomez (for the ARA Collaboration), Marco Stein Muzio (for the ARA Collaboration)
https://arxiv.org/abs/2509.16425

High-Fidelity Simulations of the Full Askaryan Radio Array and its Sensitivity to Ultra-High Energy Neutrinos
The Askaryan Radio Array (ARA) is a five-station, in-ice radio detector located at the South Pole searching for particle cascades from cosmogenic and astrophysical neutrinos with $\geq10^{17}$ eV of energy. Cascades in this energy regime emit radio-wavelength Askaryan radiation that can be observed by one or more ARA stations. With the recent KM3Net observation of an approximately $220$ PeV neutrino, there is renewed, urgent interest in further unlocking the ultra-high energy neutrino sky. We p…

Replaced article(s) found for cs.ET. https://arxiv.org/list/cs.ET/new
[1/1]:
- Unlocking the Potential of AI Researchers in Scientific Discovery: What Is Missing?
Hengjie Yu, Shuya Liu, Haiyun Yang, Yuping Yan, Maozhen Qu, Yaochu Jin

WorldForge: Unlocking Emergent 3D/4D Generation in Video Diffusion Model via Training-Free Guidance
Chenxi Song, Yanming Yang, Tong Zhao, Ruibo Li, Chi Zhang
https://arxiv.org/abs/2509.15130

WorldForge: Unlocking Emergent 3D/4D Generation in Video Diffusion Model via Training-Free Guidance
Recent video diffusion models demonstrate strong potential in spatial intelligence tasks due to their rich latent world priors. However, this potential is hindered by their limited controllability and geometric inconsistency, creating a gap between their strong priors and their practical use in 3D/4D tasks. As a result, current approaches often rely on retraining or fine-tuning, which risks degrading pretrained knowledge and incurs high computational costs. To address this, we propose WorldForg…

DF-LLaVA: Unlocking MLLM's potential for Synthetic Image Detection via Prompt-Guided Knowledge Injection
Zhuokang Shen, Kaisen Zhang, Bohan Jia, Yuan Fang, Zhou Yu, Shaohui Lin
https://arxiv.org/abs/2509.14957

DF-LLaVA: Unlocking MLLM's potential for Synthetic Image Detection via Prompt-Guided Knowledge Injection
With the increasing prevalence of synthetic images, evaluating image authenticity and locating forgeries accurately while maintaining human interpretability remains a challenging task. Existing detection models primarily focus on simple authenticity classification, ultimately providing only a forgery probability or binary judgment, which offers limited explanatory insights into image authenticity. Moreover, while MLLM-based detection methods can provide more interpretable results, they still la…

Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/6]:
- Elastic MoE: Unlocking the Inference-Time Scalability of Mixture-of-Experts
Gu, Zhang, Feng, Chen, Fu, Lin, Wang, Sun, Wu, Wang, Wang

Very High Frequency Interpolation for Direct Torque Control
Rafael Kourdis, Maciej St\k{e}pie\'n, J\'er\^ome Manhes, Nicolas Mansard, Steve Tonneau, Philippe Sou\`eres, Thomas Flayols
https://arxiv.org/abs/2509.24175

Very High Frequency Interpolation for Direct Torque Control
Torque control enables agile and robust robot motion, but deployment is often hindered by instability and hardware limits. Here, we present a novel solution to execute whole-body linear feedback at up to 40 kHz on open-source hardware. We use this to interpolate non-linear schemes during real-world execution, such as inverse dynamics and learned torque policies. Our results show that by stabilizing torque controllers, high-frequency linear feedback could be an effective route towards unlocking …