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Friction

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Showing 301–350 of 418 papers

TitleStatusHype
Ship Performance Monitoring using Machine-learning—0
Should I Trust You? Detecting Deception in Negotiations using Counterfactual RL—0
Sim-to-Real Transfer for Biped Locomotion—0
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics—0
Simulation of snakes using vertical body bending to traverse terrain with large height variation—0
Simultaneous Contact, Gait and Motion Planning for Robust Multi-Legged Locomotion via Mixed-Integer Convex Optimization—0
Simultaneous Optimal System and Controller Design for Multibody Systems with Joint Friction using Direct Sensitivities—0
Single architecture and multiple task deep neural network for altered fingerprint analysis—0
Sino-US S and T Frictions and Transnational Knowledge Flows: Evidence from machine learning and cross-national patent data—0
Speculative Trading, Prospect Theory and Transaction Costs—0
SpikePingpong: High-Frequency Spike Vision-based Robot Learning for Precise Striking in Table Tennis Game—0
Src Kinase Slows Collective Rotation of Confined Epithelial Cell Monolayers—0
Stability bounds of a delay visco-elastic rheological model with substrate friction—0
Static structural behaviour of wire bearings: comparison with conventional bearings and study of design and operational parameters—0
Stick-slip and convergence of feedback-controlled systems with Coulomb friction—0
Study of Frictional and Impact Transients in Active-Passive Mechanical Pair—0
Supervised Machine Learning and Physics based Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy—0
SupportNet: Neural Networks for Summary Generation and Key Segment Extraction from Technical Support Tickets—0
SwingBot: Learning Physical Features from In-hand Tactile Exploration for Dynamic Swing-up Manipulation—0
Symbolic regression based genetic approximations of the Colebrook equation for flow friction—0
Symbolic Regression Methods for Reinforcement Learning—0
Tailoring Frictional Properties of Surfaces Using Diffusion Models—0
Ten simple rules for collaborating with wet lab researchers for computational researchers—0
The Cost of Learning: Efficiency vs. Efficacy of Learning-Based RRM for 6G—0
The Exoplanet Citizen Science Pipeline: Human Factors and Machine Learning—0
The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing—0
The impact of hydrodynamic interactions on protein folding rates depends on temperature—0
The influence of AGEs and enzymatic cross-links on the mechanical properties of collagen fibrils—0
The Newtonian Mechanics of Demand—0
The Universe as a Learning System—0
Thin Films on the Skin, but not Frictional Agents, Attenuate the Percept of Pleasantness to Brushed Stimuli—0
Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data—0
Tire-road friction estimation and uncertainty assessment to improve electric aircraft braking system—0
Tissue fusion over non-adhering surfaces—0
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics—0
Towards Natural Language-Driven Assembly Using Foundation Models—0
Towards Optimal Head-to-head Autonomous Racing with Curriculum Reinforcement Learning—0
Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Prediction—0
Trajectory Planning Using Tire Thermodynamics for Automated Drifting—0
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model—0
Trend to Equilibrium for the Kinetic Fokker-Planck Equation via the Neural Network Approach—0
Uncovering wall-shear stress dynamics from neural-network enhanced fluid flow measurements—0
Understanding Domain Randomization for Sim-to-real Transfer—0
Universal Visuo-Tactile Video Understanding for Embodied Interaction—0
Unlocking the Potential of Simulators: Design with RL in Mind—0
Use of Robust DOB/CDOB Compensation to Improve Autonomous Vehicle Path Following Performance in the Presence of Model Uncertainty, CAN Bus Delays and External Disturbances—0
Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems—0
Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymised Spatial Adjacency Information—0
Validation and Improvement of Data Assimilation for Flood Hydrodynamic Modelling Using SAR Imagery Data—0
Vibration-Assisted Hysteresis Mitigation for Achieving High Compensation Efficiency—0
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