Papers Friction
“Friction” 태그가 달린 논문 418편 · 필터 해제
Failure Forecasting Boosts Robustness of Sim2Real Rhythmic Insertion Policies
This paper addresses the challenges of Rhythmic Insertion Tasks (RIT), where a robot must repeatedly perform high-precision insertions, such as screwing a nut into a bolt with a wrench. The inherent difficulty of RIT lie…
FrictionPose TrackingThe Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing
This paper systematizes research on auditing Differential Privacy (DP) techniques, aiming to identify key insights into the current state of the art and open challenges. First, we introduce a comprehensive framework for …
FrictionA Set-valued Impact Law Approach for Modeling and Analysis of Rigid Contact Universal Joint with Clearance
This study presents a dynamic model of a universal joint (U-Joint) with radial clearance, focusing on the rigid unilateral frictional contacts at the crosspiece and yoke interfaces. Unlike previous models that neglect cr…
FrictionDynamic Epistemic Friction in Dialogue
Recent developments in aligning Large Language Models (LLMs) with human preferences have significantly enhanced their utility in human-AI collaborative scenarios. However, such approaches often neglect the critical role …
FrictionA Machine Learning Approach to Generate Residual Stress Distributions using Sparse Characterization Data in Friction-Stir Processed Parts
Residual stresses, which remain within a component after processing, can deteriorate performance. Accurately determining their full-field distributions is essential for optimizing the structural integrity and longevity. …
FrictionSpikePingpong: High-Frequency Spike Vision-based Robot Learning for Precise Striking in Table Tennis Game
Learning to control high-speed objects in the real world remains a challenging frontier in robotics. Table tennis serves as an ideal testbed for this problem, demanding both rapid interception of fast-moving balls and pr…
Efficient Neural NetworkFrictionImitation LearningDiscrete Element Parameter Calibration of Livestock Salt Based on Particle Scaling
In order to obtain accurate contact parameters for the discrete element simulation of salt particles used in animal husbandry, the principle of particle contact scaling and dimensional analysis were used for particle sca…
FrictionGeoff: The Generic Optimization Framework & Frontend for Particle Accelerator Controls
Geoff is a collection of Python packages that form a framework for automation of particle accelerator controls. With particle accelerator laboratories around the world researching machine learning techniques to improve a…
FrictionUniversal Visuo-Tactile Video Understanding for Embodied Interaction
Tactile perception is essential for embodied agents to understand physical attributes of objects that cannot be determined through visual inspection alone. While existing approaches have made progress in visual and langu…
FrictionLarge Language ModelText GenerationVideo UnderstandingFrictional Agent Alignment Framework: Slow Down and Don't Break Things
AI support of collaborative interactions entails mediating potential misalignment between interlocutor beliefs. Common preference alignment methods like DPO excel in static settings, but struggle in dynamic collaborative…
FrictionPhysics-Informed Deep Learning for Nonlinear Friction Model of Bow-string Interaction
This study investigates the use of an unsupervised, physics-informed deep learning framework to model a one-degree-of-freedom mass-spring system subjected to a nonlinear friction bow force and governed by a set of ordina…
FrictionInterpretable Robotic Friction Learning via Symbolic Regression
Accurately modeling the friction torque in robotic joints has long been challenging due to the request for a robust mathematical description. Traditional model-based approaches are often labor-intensive, requiring extens…
FrictionregressionSymbolic RegressionPyScrew: A Comprehensive Dataset Collection from Industrial Screw Driving Experiments
This paper presents a comprehensive collection of industrial screw driving datasets designed to advance research in manufacturing process monitoring and quality control. The collection comprises six distinct datasets wit…
Anomaly DetectionFrictionEmbedding Atlas: Low-Friction, Interactive Embedding Visualization
Embedding projections are popular for visualizing large datasets and models. However, people often encounter "friction" when using embedding visualization tools: (1) barriers to adoption, e.g., tedious data wrangling and…
FrictionReduced order asymptotic observer of friction in motion control
An asymptotic observer of the motion state variables with nonlinear friction [1] benefits from a robust to the noise state-space representation of the dynamic friction force, including pre-sliding transitions, and implem…
FrictionLeveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems
This work presents a comprehensive evaluation of neural network graph compilers across heterogeneous hardware platforms, addressing the critical gap between theoretical optimization techniques and practical deployment sc…
FrictionCognitive Silicon: An Architectural Blueprint for Post-Industrial Computing Systems
Autonomous AI systems reveal foundational limitations in deterministic, human-authored computing architectures. This paper presents Cognitive Silicon: a hypothetical full-stack architectural framework projected toward 20…
FrictionPIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation
While non-prehensile manipulation (e.g., controlled pushing/poking) constitutes a foundational robotic skill, its learning remains challenging due to the high sensitivity to complex physical interactions involving fricti…
FrictionModel-based Reinforcement LearningState EstimationExploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Work
While generative artificial intelligence (GenAI) is finding increased adoption in workplaces, current tools are primarily designed for individual use. Prior work established the potential for these tools to enhance perso…
FrictionMixed RealityExpanding the Generative AI Design Space through Structured Prompting and Multimodal Interfaces
Text-based prompting remains the predominant interaction paradigm in generative AI, yet it often introduces friction for novice users such as small business owners (SBOs), who struggle to articulate creative goals in dom…
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