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Friction

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Showing 176–200 of 418 papers

TitleStatusHype
High-speed Autonomous Drifting with Deep Reinforcement Learning—0
Hysteresis Compensation of Flexible Continuum Manipulator using RGBD Sensing and Temporal Convolutional Network—0
Identification of Friction Models for MPC-based Control of a PowerCube Serial Robot—0
Estuary: A Framework For Building Multimodal Low-Latency Real-Time Socially Interactive Agents—0
Identifying Friction in a Nonlinear Chaotic System Using a Universal Adaptive Stabilizer—0
Identifying Mechanical Models through Differentiable Simulations—0
Identifying Shopping Intent in Product QA for Proactive Recommendations—0
Identifying Terrain Physical Parameters from Vision -- Towards Physical-Parameter-Aware Locomotion and Navigation—0
Image-based monitoring of bolt loosening through deep-learning-based integrated detection and tracking—0
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions—0
Improvement of Flood Extent Representation with Remote Sensing Data and Data Assimilation—0
Infant Footprint Recognition—0
Information Retrieval in Friction Stir Welding of Aluminum Alloys by using Natural Language Processing based Algorithms—0
Information-theoretic Model Identification and Policy Search using Physics Engines with Application to Robotic Manipulation—0
Instability and fingering of interfaces in growing tissue—0
Intelligent Momentary Assisted Control for Autonomous Emergency Braking—0
Interpretable Intuitive Physics Model—0
Interpretable Robotic Friction Learning via Symbolic Regression—0
Intuition and importance of feedback control through laboratory experiences—0
Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer—0
Inverse Reinforcement Learning with Natural Language Goals—0
Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control—0
Joint torques prediction of a robotic arm using neural networks—0
Estimation of Tire-Road Friction for Road Vehicles: a Time Delay Neural Network Approach—0
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks—0
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