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Friction

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Showing 226–250 of 418 papers

TitleStatusHype
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
Joint vehicle state and parameters estimation via Twin-in-the-Loop observers—0
Knowledge Modelling and Active Learning in Manufacturing—0
Lane-Keeping Control of Autonomous Vehicles Through a Soft-Constrained Iterative LQR—0
Lane level joint control of off-ramp and main line speed guidance on expressway in rainy weather—0
La « voyelle apicale » n'est pas une voyelle : \'etude acoustique et articulatoire de la voyelle apicale en chinois de Jixi (The `apical vowel' is not a vowel: An acoustic and articulatory study of the apical vowel in Jixi-Hui Chinese)—0
Learning active tactile perception through belief-space control—0
Learning a Terrain- and Robot-Aware Dynamics Model for Autonomous Mobile Robot Navigation—0
Learning-based adaption of robotic friction models—0
Learning Dexterous In-Hand Manipulation—0
Learning Discrepancy Models From Experimental Data—0
Learning Extrinsic Dexterity with Parameterized Manipulation Primitives—0
Learning for Precision Motion of an Interventional X-ray System: Add-on Physics-Guided Neural Network Feedforward Control—0
Learning How to Solve Bubble Ball—0
Learning Source Biases: Multisource Misspecifications and Their Impact on Predictions—0
Learning nonlinear feedforward: a Gaussian Process Approach Applied to a Printer with Friction—0
Learning to cooperatively estimate road surface friction—0
Learning to Efficiently Plan Robust Frictional Multi-Object Grasps—0
Learning to forecast diagnostic parameters using pre-trained weather embedding—0
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity—0
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