Tootfinder

SafeBimanual: Diffusion-based Trajectory Optimization for Safe Bimanual Manipulation
Haoyuan Deng, Wenkai Guo, Qianzhun Wang, Zhenyu Wu, Ziwei Wang
https://arxiv.org/abs/2508.18268

SafeBimanual: Diffusion-based Trajectory Optimization for Safe Bimanual Manipulation
Bimanual manipulation has been widely applied in household services and manufacturing, which enables the complex task completion with coordination requirements. Recent diffusion-based policy learning approaches have achieved promising performance in modeling action distributions for bimanual manipulation. However, they ignored the physical safety constraints of bimanual manipulation, which leads to the dangerous behaviors with damage to robots and objects. To this end, we propose a test-time tr…

Minimal value set binomials and Frobenius nonclassical curves
Tiago Aprigio, Jo\~ao Paulo Guardieiro
https://arxiv.org/abs/2508.16541 https://arxiv.org/pdf…

Minimal value set binomials and Frobenius nonclassical curves
In this paper, we characterize all minimal value set binomials over $\mathbb{F}_q$, that is, binomials whose size of the set of images is the smallest possible. With this information, we also classify all quadrinomial curves with separated variables that are $\mathbb{F}_q$-Frobenius nonclassical for the morphism of lines.

Ratjetoe aan rare voer­tuigen op het fietspad maakt Amsterdam ‘moedeloos’: ‘Onze stad is geen pretpark’ | de #Volkskrant
https://www.

“sinds kort hebben Duitsers in ons land een nieuwe trekpleister gevonden: het op één na drukste fietspad en de grootste fietsenstalling ter wereld. Steeds meer oosterburen komen speciaal naar Utrecht om zich te vergapen aan de eindeloze stroom fietsers.”
https://www.

Duitse toeristen stromen massaal naar Utrecht om zich te vergapen aan fietsfiles
Natuurlijk, ze zijn dol op Scheveningen, Frau Antje en de bloembollenvelden. Maar sinds kort hebben Duitsers in ons land een nieuwe trekpleister gevonden: het op één na drukste fietspad en de grootste fietsenstalling ter wereld. Steeds meer oosterburen komen speciaal naar Utrecht om zich te vergapen aan de eindeloze stroom fietsers.

Geen verrassing....
https://www.ad.nl/binnenland/sterke-signalen-dat-russen-achter-hack-om-zitten-zaten-mogelijk-weken-in-systeem~a6bd3c60/

Sterke signalen dat Russen achter hack OM zitten, zaten mogelijk weken in systeem
Er zijn sterke aanwijzingen dat de hack bij het Openbaar Ministerie gelinkt is aan Rusland. Dat zeggen goed ingevoerde bronnen binnen justitie tegen deze site. De hackers hebben mogelijk wekenlang toegang gehad tot computers van justitie.

IBIS: Inverse BInomial sum Solver
Paul A. J. W. van Hoegaerden, Coenraad B. Marinissen, Wouter J. Waalewijn
https://arxiv.org/abs/2506.19904 https://

IBIS: Inverse BInomial sum Solver
In higher-loop calculations, Mellin-Barnes representations are used to simplify the denominators encountered in Feynman parameter integrals. The contour integral of these representations yield sums over residues. We extend the classes of such sums that can be calculated, to include those involving inverse binomials. Our results are expressed in terms of so-called $S$-sums, where the dependence on the upper limit of the sum is analytic. This is accomplished by deriving several new recursion rela…

Bine Trees: Enhancing Collective Operations by Optimizing Communication Locality
Daniele De Sensi, Saverio Pasqualoni, Lorenzo Piarulli, Tommaso Bonato, Seydou Ba, Matteo Turisini, Jens Domke, Torsten Hoefler
https://arxiv.org/abs/2508.17311

Bine Trees: Enhancing Collective Operations by Optimizing Communication Locality
Communication locality plays a key role in the performance of collective operations on large HPC systems, especially on oversubscribed networks where groups of nodes are fully connected internally but sparsely linked through global connections. We present Bine (binomial negabinary) trees, a family of collective algorithms that improve communication locality. Bine trees maintain the generality of binomial trees and butterflies while cutting global-link traffic by up to 33%. We implement eight Bi…

ROPA: Synthetic Robot Pose Generation for RGB-D Bimanual Data Augmentation
Jason Chen, I-Chun Arthur Liu, Gaurav Sukhatme, Daniel Seita
https://arxiv.org/abs/2509.19454 https://…

ROPA: Synthetic Robot Pose Generation for RGB-D Bimanual Data Augmentation
Training robust bimanual manipulation policies via imitation learning requires demonstration data with broad coverage over robot poses, contacts, and scene contexts. However, collecting diverse and precise real-world demonstrations is costly and time-consuming, which hinders scalability. Prior works have addressed this with data augmentation, typically for either eye-in-hand (wrist camera) setups with RGB inputs or for generating novel images without paired actions, leaving augmentation for eye…

Parse-Augment-Distill: Learning Generalizable Bimanual Visuomotor Policies from Single Human Video
Georgios Tziafas, Jiayun Zhang, Hamidreza Kasaei
https://arxiv.org/abs/2509.20286

Parse-Augment-Distill: Learning Generalizable Bimanual Visuomotor Policies from Single Human Video
Learning visuomotor policies from expert demonstrations is an important frontier in modern robotics research, however, most popular methods require copious efforts for collecting teleoperation data and struggle to generalize out-ofdistribution. Scaling data collection has been explored through leveraging human videos, as well as demonstration augmentation techniques. The latter approach typically requires expensive simulation rollouts and trains policies with synthetic image data, therefore int…

DyDexHandover: Human-like Bimanual Dynamic Dexterous Handover using RGB-only Perception
Haoran Zhou, Yangwei You, Shuaijun Wang
https://arxiv.org/abs/2509.17350 https://

DyDexHandover: Human-like Bimanual Dynamic Dexterous Handover using RGB-only Perception
Dynamic in air handover is a fundamental challenge for dual-arm robots, requiring accurate perception, precise coordination, and natural motion. Prior methods often rely on dynamics models, strong priors, or depth sensing, limiting generalization and naturalness. We present DyDexHandover, a novel framework that employs multi-agent reinforcement learning to train an end to end RGB based policy for bimanual object throwing and catching. To achieve more human-like behavior, the throwing policy is …