Tootfinder

A Shank Angle-Based Control System Enables Soft Exoskeleton to Assist Human Non-Steady Locomotion
Xiaowei Tan, Weizhong Jiang, Bi Zhang, Wanxin Chen, Yiwen Zhao, Ning Li, Lianqing Liu, Xingang Zhao
https://arxiv.org/abs/2508.09876

A Shank Angle-Based Control System Enables Soft Exoskeleton to Assist Human Non-Steady Locomotion
Exoskeletons have been shown to effectively assist humans during steady locomotion. However, their effects on non-steady locomotion, characterized by nonlinear phase progression within a gait cycle, remain insufficiently explored, particularly across diverse activities. This work presents a shank angle-based control system that enables the exoskeleton to maintain real-time coordination with human gait, even under phase perturbations, while dynamically shaping assistance profiles to match the bi…

A Semantic-Aware Framework for Safe and Intent-Integrative Assistance in Upper-Limb Exoskeletons
Yu Chen, Shu Miao, Chunyu Wu, Jingsong Mu, Bo OuYang, Xiang Li
https://arxiv.org/abs/2508.10378

A Semantic-Aware Framework for Safe and Intent-Integrative Assistance in Upper-Limb Exoskeletons
Upper-limb exoskeletons are primarily designed to provide assistive support by accurately interpreting and responding to human intentions. In home-care scenarios, exoskeletons are expected to adapt their assistive configurations based on the semantic information of the task, adjusting appropriately in accordance with the nature of the object being manipulated. However, existing solutions often lack the ability to understand task semantics or collaboratively plan actions with the user, limiting …

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Hybrid Data-Driven Predictive Control for Robust and Reactive Exoskeleton Locomotion Synthesis
Kejun Li, Jeeseop Kim, Maxime Brunet, Marine P\'etriaux, Yisong Yue, Aaron D. Ames
https://arxiv.org/abs/2508.10269

Hybrid Data-Driven Predictive Control for Robust and Reactive Exoskeleton Locomotion Synthesis
Robust bipedal locomotion in exoskeletons requires the ability to dynamically react to changes in the environment in real time. This paper introduces the hybrid data-driven predictive control (HDDPC) framework, an extension of the data-enabled predictive control, that addresses these challenges by simultaneously planning foot contact schedules and continuous domain trajectories. The proposed framework utilizes a Hankel matrix-based representation to model system dynamics, incorporating step-to-…

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Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery
Benjamin S. Allen, James Anchell, Victor Anisimov, Thomas Applencourt, Abhishek Bagusetty, Ramesh Balakrishnan, Riccardo Balin, Solomon Bekele, Colleen Bertoni, Cyrus Blackworth, Renzo Bustamante, Kevin Canada, John Carrier, Christopher Chan-nui, Lance C. Cheney, Taylor Childers, Paul Coffman, Susan Coghlan, Michael D'Mello, Murali Emani, Kyle G. Felker, Sam Foreman, Olivier Franza,…

Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery
Aurora is Argonne National Laboratory's pioneering Exascale supercomputer, designed to accelerate scientific discovery with cutting-edge architectural innovations. Key new technologies include the Intel(TM) Xeon(TM) Data Center GPU Max Series (code-named Sapphire Rapids) with support for High Bandwidth Memory (HBM), alongside the Intel(TM) Data Center GPU Max Series (code-named Ponte Vecchio) on each compute node. Aurora also integrates the Distributed Asynchronous Object Storage (DAOS), a nove…

VR-Haptik per Exoskelett: "Haptikos"-Handschuh geht in den Verkauf
"Haptikos" ist ein Haptik-Handschuh mit Exoskelett, der Unternehmen einen vergleichsweise günstigen Einstieg in die Haptik-Simulation ermöglicht.

A small ultrafilter number at all $\aleph_3\leq\kappa<\aleph_\omega$
Julian Eshkol
https://arxiv.org/abs/2508.07456 https://arxiv.org/pdf/2508.07456

A small ultrafilter number at all $\aleph_3\leqκ<\aleph_ω$
This note shows how recent work of Eskew and Hayut can be combined with a method of Raghavan and Shelah to show the consistency of $\mathfrak u_κ<2^κ$ for $\aleph_3\leq κ<\aleph_ω$, from a huge cardinal.

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Computer Vision-based Adaptive Control for Back Exoskeleton Performance Optimization
Andrea Dal Prete, Seyram Ofori, Chan Yon Sin, Ashwin Narayan, Francesco Braghin, Marta Gandolla, Haoyong Yu
https://arxiv.org/abs/2508.06207

Computer Vision-based Adaptive Control for Back Exoskeleton Performance Optimization
Back exoskeletons can reduce musculoskeletal strain, but their effectiveness depends on support modulation and adaptive control. This study addresses two challenges: defining optimal support strategies and developing adaptive control based on payload estimation. We introduce an optimization space based on muscle activity reduction, perceived discomfort, and user preference, constructing functions to identify optimal strategies. Experiments with 12 subjects revealed optimal operating regions, hi…