Results 1 to 10 of about 3,916,821 (216)
Composite Motion Learning with Task Control [PDF]
ACM Transactions on Graphics, 2023 We present a deep learning method for composite and task-driven motion control for physically simulated characters. In contrast to existing data-driven approaches using reinforcement learning that imitate full-body motions, we learn decoupled motions for specific body parts from multiple reference motions simultaneously and directly by ...
Pei Xu +3 more
openaire +3 more sources
The role of the ventral intraparietal area (VIP/pVIP) in the perception of object-motion and self-motion [PDF]
NeuroImage, 2020 Retinal image motion is a composite signal that contains information about two behaviourally significant factors: self-motion and the movement of environmental objects.
David T. Field +2 more
doaj +3 more sources
Analysis of composite motion law and force of high speed curve-face gear
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2017 A new type of curve-face gear pair - high speed curve-face gear pair is proposed. It combines the high speed cam motion law and the curve-face gear transmission, and can transmit rotation/axial motion and power between intersecting axis.
Chao LIN, Yongquan YU, Yanan HU
doaj +2 more sources
Equation of Motion Method for Composite Field Operators [PDF]
The European Physical Journal B - Condensed Matter, 2003 The Green's function formalism in Condensed Matter Physics is reviewed within the equation of motion approach. Composite operators and their Green's functions naturally appear as building blocks of generalized perturbative approaches and require fully ...
Avella, Adolfo, Mancini, Ferdinando
core +3 more sources
DronesThe construction of a six-degree-of-freedom (6-DOF) model for the composite motion of the actual mechanical structure (defined as an all-true composite motion model) of unmanned aerial vehicles (UAVs) is a prerequisite for achieving stable control of ...
Zhen Wang +6 more
doaj +2 more sources
Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction [PDF]
Proceedings of the 31st ACM International Conference on Multimedia, 2023 With potential applications in fields including intelligent surveillance and human-robot interaction, the human motion prediction task has become a hot research topic and also has achieved high success, especially using the recent Graph Convolutional Network (GCN).
Wanying Zhang +4 more
openaire +3 more sources
Green's function formalism for highly correlated systems [PDF]
Condensed Matter Physics, 2006 We present the Composite Operator Method (COM) as a modern approach to the study of strongly correlated electronic systems, based on the equation of motion and Green's function method. COM uses propagators of composite operators as building blocks at the
F.Mancini, A.Avella
doaj +4 more sources
Composite Motion Design Procedure for Vibration Assisted Small-Hole EDM Using One Voice Coil Motor
Shock and Vibration, 2016 To address the problem of debris accumulation in small-hole electrical discharge machine (EDM) and simplify the design of the spindle head, the paper proposes a novel composite motion design procedure integrated high frequency vibration and large stroke ...
Jing Cui, Zhongyi Chu
doaj +2 more sources
Nonlinear characteristics of the driving model of the coaxial integrated macro–micro composite actuator [PDF]
Mechanical Sciences, 2022 Nonlinearity is one of the important factors affecting the positioning accuracy of the macro–micro composite actuator. To improve the positioning accuracy of the driving model of the macro–micro composite actuator, this paper combines the research ...
C. Yu +5 more
doaj +1 more source
Modeling of the process of mechano activation of filler particles in polymer composites [PDF]
E3S Web of Conferences, 2023 The article presents the results of the study of the filler particles activation mechanism in the production of composite polymeric materials modified by mechanical activation.
Ziyamukhamedova Umida +5 more
doaj +1 more source