Tootfinder

RAM-NAS: Resource-aware Multiobjective Neural Architecture Search Method for Robot Vision Tasks
Shouren Mao, Minghao Qin, Wei Dong, Huajian Liu, Yongzhuo Gao
https://arxiv.org/abs/2509.20688

RAM-NAS: Resource-aware Multiobjective Neural Architecture Search Method for Robot Vision Tasks
Neural architecture search (NAS) has shown great promise in automatically designing lightweight models. However, conventional approaches are insufficient in training the supernet and pay little attention to actual robot hardware resources. To meet such challenges, we propose RAM-NAS, a resource-aware multi-objective NAS method that focuses on improving the supernet pretrain and resource-awareness on robot hardware devices. We introduce the concept of subnets mutual distillation, which refers to…

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Leserinnenbrief WAZ

A User-to-User Resource Reselling Game in Open RAN with Buffer Rollover
Ruide Cao, Marie Siew, David Yau
https://arxiv.org/abs/2509.19392 https://arxiv.org…

A User-to-User Resource Reselling Game in Open RAN with Buffer Rollover
The development of the Open RAN (O-RAN) framework helps enable network slicing through its virtualization, interoperability, and flexibility. To improve spectral efficiency and better meet users' dynamic and heterogeneous service demands, O-RAN's flexibility further presents an opportunity for resource reselling of unused physical resource blocks (PRBs) across users. In this work, we propose a novel game-based user-to-user PRB reselling model in the O-RAN setting, which models the carryover of …

CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks
Qi Chai, Zhang Zheng, Junlong Ren, Deheng Ye, Zichuan Lin, Hao Wang
https://arxiv.org/abs/2508.18797 …

CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks
Minecraft, as an open-world virtual interactive environment, has become a prominent platform for research on agent decision-making and execution. Existing works primarily adopt a single Large Language Model (LLM) agent to complete various in-game tasks. However, for complex tasks requiring lengthy sequences of actions, single-agent approaches often face challenges related to inefficiency and limited fault tolerance. Despite these issues, research on multi-agent collaboration remains scarce. In …

Portable Silent Room: Exploring VR Design for Anxiety and Emotion Regulation for Neurodivergent Women and Non-Binary Individuals
Kinga Skiers, Yun Suen Pai, Marina Nakagawa, Kouta Minamizawa, Giulia Barbareschi
https://arxiv.org/abs/2508.18591

Portable Silent Room: Exploring VR Design for Anxiety and Emotion Regulation for Neurodivergent Women and Non-Binary Individuals
Neurodivergent individuals, particularly those with Autism and Attention Deficit Hyperactivity Disorder (ADHD), frequently experience anxiety, panic attacks, meltdowns, and emotional dysregulation due to societal pressures and inadequate accommodations. These challenges are especially pronounced for neurodivergent women and non-binary individuals navigating intersecting barriers of neurological differences and gender expectations. This research investigates virtual reality (VR) as a portable sa…

Samstägliches Dinge reparieren.
In die Haarbürste (Tangle Teezer) ist Flüssigkeit gekommen und begann zu schimmeln. Ließ sich recht unkompliziert auseinandernehmen, reinigen, trocken und wieder zusammensetzen.
Staubsaugerfilter musste wieder einmal gereinigt werden. Dabei oder davor ist eine Radaufhängung erneut gebrochen. Die zu kleben war aufwändig. Auch weil ich keine Ahnung habe, wie man das macht und keine Energie zu recherchieren. Habe es mit UV-Harz gelöst.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization
Junyuan Deng, Heng Li, Tao Xie, Weiqiang Ren, Qian Zhang, Ping Tan, Xiaoyang Guo
https://arxiv.org/abs/2508.17972

Experiences with Model Context Protocol Servers for Science and High Performance Computing
Haochen Pan, Ryan Chard, Reid Mello, Christopher Grams, Tanjin He, Alexander Brace, Owen Price Skelly, Will Engler, Hayden Holbrook, Song Young Oh, Maxime Gonthier, Michael Papka, Ben Blaiszik, Kyle Chard, Ian Foster
https://arxiv.org/abs/2508.18489

Experiences with Model Context Protocol Servers for Science and High Performance Computing
Large language model (LLM)-powered agents are increasingly used to plan and execute scientific workflows, yet most research cyberinfrastructure (CI) exposes heterogeneous APIs and implements security models that present barriers for use by agents. We report on our experience using the Model Context Protocol (MCP) as a unifying interface that makes research capabilities discoverable, invokable, and composable. Our approach is pragmatic: we implement thin MCP servers over mature services, includi…

Early start today for two weeks in Aachen.
Today: talk at the Center for Computational Life Sciences (come by!)
Tue-Thu: #CoRDI2025 with a poster for the German Reproducibility Network @… and a Market Stall for the Digital Research Academy

PneuGelSight: Soft Robotic Vision-Based Proprioception and Tactile Sensing
Ruohan Zhang (University of Illinois, Urbana-Champaign, USA), Uksang Yoo (Carnegie Mellon University, USA), Yichen Li (Carnegie Mellon University, USA), Arpit Argawal (Carnegie Mellon University, USA), Wenzhen Yuan (University of Illinois, Urbana-Champaign, USA)
https://

PneuGelSight: Soft Robotic Vision-Based Proprioception and Tactile Sensing
Soft pneumatic robot manipulators are popular in industrial and human-interactive applications due to their compliance and flexibility. However, deploying them in real-world scenarios requires advanced sensing for tactile feedback and proprioception. Our work presents a novel vision-based approach for sensorizing soft robots. We demonstrate our approach on PneuGelSight, a pioneering pneumatic manipulator featuring high-resolution proprioception and tactile sensing via an embedded camera. To opt…