Tootfinder

A Novel Skill Modeling Approach: Integrating Vergnaud's Scheme with Cognitive Architectures
Antoine L\'enat (Cetim, LS2N, LS2N - \'equipe RoMas, LS2N - \'equipe PACCE), Olivier Cheminat (Cetim), Damien Chablat (LS2N - \'equipe RoMas, LS2N), Camilo Charron (LS2N, UR2, LS2N - \'equipe PACCE)
https://arxiv.org/abs/2509…

A Novel Skill Modeling Approach: Integrating Vergnaud's Scheme with Cognitive Architectures
Human-machine interaction is increasingly important in industry, and this trend will only intensify with the rise of Industry 5.0. Human operators have skills that need to be adapted when using machines to achieve the best results. It is crucial to highlight the operator's skills and understand how they use and adapt them [18]. A rigorous description of these skills is necessary to compare performance with and without robot assistance. Predicate logic, used by Vergnaud within Piaget's scheme co…

🦾 Meet the teens behind RedSnapper: a smart Arduino-powered prosthetic arm
https://blog.arduino.cc/2025/08/21/meet-the-teens-behind-redsnapper-a-smart-arduino-powered-prosthetic-arm/

Meet the teens behind RedSnapper: a smart Arduino-powered prosthetic arm | Arduino Blog
An affordable, AI-assisted, wearable robotic arm? That’s not science fiction – it’s RedSnapper, an open-source prosthesis built by PAC Tech, a team of high school students from Istituto Maria Immacolata in Gorgonzola, Italy. Powered entirely by Arduino boards, their project won the national “Robot Arm Makers” title at the 2025 RomeCup – and we think […]

A Humanoid Social Robot as a Teaching Assistant in the Classroom
Thomas Sievers
https://arxiv.org/abs/2508.05646 https://arxiv.org/pdf/2508.05646

A Humanoid Social Robot as a Teaching Assistant in the Classroom
Although innovation and the support of new technologies are much needed to ease the burden on the education system, social robots in schools to help teachers with educational tasks are rare. Child-Robot Interaction (CRI) could support teachers and add an embodied social component to modern multi-modal and multi-sensory learning environments already in use. The social robot Pepper, connected to the Large Language Model (LLM) ChatGPT, was used in a high school classroom to teach new learning cont…

Machine Learning Frameworks for Large-Scale Radio Surveys: A Summary of Recent Studies
Nikhel Gupta
https://arxiv.org/abs/2510.11145 https://arxiv.org/pdf/…

Machine Learning Frameworks for Large-Scale Radio Surveys: A Summary of Recent Studies
The rapid growth of large-scale radio surveys, generating over 100 petabytes of data annually, has created a pressing need for automated data analysis methods. Recent research has explored the application of machine learning techniques to address the challenges associated with detecting and classifying radio galaxies, as well as discovering peculiar radio sources. This paper provides an overview of our investigations with the Evolutionary Map of the Universe (EMU) survey, detailing the methodol…

TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Model
Xiyan Huang, Zhe Xu, Chenxi Xiao
https://arxiv.org/abs/2509.10063 https://

TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Model
Robot skill acquisition processes driven by reinforcement learning often rely on simulations to efficiently generate large-scale interaction data. However, the absence of simulation models for tactile sensors has hindered the use of tactile sensing in such skill learning processes, limiting the development of effective policies driven by tactile perception. To bridge this gap, we present TwinTac, a system that combines the design of a physical tactile sensor with its digital twin model. Our har…

"Der August war ein Horrormonat für die Ölindustrie"
Laut dem Autoren und Publizisten Andrey Gurkov belasten sowohl Kriegswirtschaft selbst als auch Sanktionen die russische Ökonomie. Russlands "große wirtschaftliche Plage" sei die kriegsbedingte Inflation.
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Krieg gegen die Ukraine: "Russlands Wirtschaft verschlechtert sich rapide"
Von Peking reist Kremlchef Putin weiter zum Wirtschaftsforum in Wladiwostok. Doch Russlands wirtschaftliche Probleme dürften dort nicht angesprochen werden. Der Experte Andrey Gurkov sagt: Krieg und Sanktionen werden für Russland immer teurer.

Placeit! A Framework for Learning Robot Object Placement Skills
Amina Ferrad, Johann Huber, Fran\c{c}ois H\'el\'enon, Julien Gleyze, Mahdi Khoramshahi, St\'ephane Doncieux
https://arxiv.org/abs/2510.09267

Placeit! A Framework for Learning Robot Object Placement Skills
Robotics research has made significant strides in learning, yet mastering basic skills like object placement remains a fundamental challenge. A key bottleneck is the acquisition of large-scale, high-quality data, which is often a manual and laborious process. Inspired by Graspit!, a foundational work that used simulation to automatically generate dexterous grasp poses, we introduce Placeit!, an evolutionary-computation framework for generating valid placement positions for rigid objects. Placei…

Beyond Detection -- Orchestrating Human-Robot-Robot Assistance via an Internet of Robotic Things Paradigm
Joseph Hunt, Koyo Fujii, Aly Magassouba, Praminda Caleb-Solly
https://arxiv.org/abs/2509.22296 …

Beyond Detection -- Orchestrating Human-Robot-Robot Assistance via an Internet of Robotic Things Paradigm
Hospital patient falls remain a critical and costly challenge worldwide. While conventional fall prevention systems typically rely on post-fall detection or reactive alerts, they also often suffer from high false positive rates and fail to address the underlying patient needs that lead to bed-exit attempts. This paper presents a novel system architecture that leverages the Internet of Robotic Things (IoRT) to orchestrate human-robot-robot interaction for proactive and personalized patient assis…

From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity
Luca Grillotti (AIRL, Imperial College London), Lisa Coiffard (AIRL, Imperial College London), Oscar Pang (AIRL, Imperial College London), Maxence Faldor (AIRL, Imperial College London), Antoine Cully (AIRL, Imperial College London)
https://

From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity
Autonomous skill discovery aims to enable robots to acquire diverse behaviors without explicit supervision. Learning such behaviors directly on physical hardware remains challenging due to safety and data efficiency constraints. Existing methods, including Quality-Diversity Actor-Critic (QDAC), require manually defined skill spaces and carefully tuned heuristics, limiting real-world applicability. We propose Unsupervised Real-world Skill Acquisition (URSA), an extension of QDAC that enables rob…

HumanoidExo: Scalable Whole-Body Humanoid Manipulation via Wearable Exoskeleton
Rui Zhong, Yizhe Sun, Junjie Wen, Jinming Li, Chuang Cheng, Wei Dai, Zhiwen Zeng, Huimin Lu, Yichen Zhu, Yi Xu
https://arxiv.org/abs/2510.03022

HumanoidExo: Scalable Whole-Body Humanoid Manipulation via Wearable Exoskeleton
A significant bottleneck in humanoid policy learning is the acquisition of large-scale, diverse datasets, as collecting reliable real-world data remains both difficult and cost-prohibitive. To address this limitation, we introduce HumanoidExo, a novel system that transfers human motion to whole-body humanoid data. HumanoidExo offers a high-efficiency solution that minimizes the embodiment gap between the human demonstrator and the robot, thereby tackling the scarcity of whole-body humanoid data…