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Friction

Papers

Showing 125 of 418 papers

TitleStatusHype
Failure Forecasting Boosts Robustness of Sim2Real Rhythmic Insertion Policies0
A Set-valued Impact Law Approach for Modeling and Analysis of Rigid Contact Universal Joint with Clearance0
The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing0
Dynamic Epistemic Friction in Dialogue0
A Machine Learning Approach to Generate Residual Stress Distributions using Sparse Characterization Data in Friction-Stir Processed Parts0
SpikePingpong: High-Frequency Spike Vision-based Robot Learning for Precise Striking in Table Tennis Game0
Discrete Element Parameter Calibration of Livestock Salt Based on Particle Scaling0
Geoff: The Generic Optimization Framework & Frontend for Particle Accelerator Controls0
Universal Visuo-Tactile Video Understanding for Embodied Interaction0
Frictional Agent Alignment Framework: Slow Down and Don't Break ThingsCode0
Physics-Informed Deep Learning for Nonlinear Friction Model of Bow-string InteractionCode0
Interpretable Robotic Friction Learning via Symbolic Regression0
PyScrew: A Comprehensive Dataset Collection from Industrial Screw Driving ExperimentsCode0
Embedding Atlas: Low-Friction, Interactive Embedding VisualizationCode7
Reduced order asymptotic observer of friction in motion control0
Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems0
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation0
Cognitive Silicon: An Architectural Blueprint for Post-Industrial Computing Systems0
Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Work0
Expanding the Generative AI Design Space through Structured Prompting and Multimodal Interfaces0
Coordinating Spinal and Limb Dynamics for Enhanced Sprawling Robot Mobility0
Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems0
Learning Transferable Friction Models and LuGre Identification via Physics Informed Neural Networks0
What should the encroaching supplier do in markets with some loyal customers? A Stackelberg Game Approach0
Matching, Unanticipated Experiences, Divorce, Flirting, Rematching, Etc0
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