Results 271 to 280 of about 7,666,006 (325)
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Local motion simulation using deep reinforcement learning

Trans. GIS, 2020
Traditional local motion simulation focuses largely on avoiding collisions in the next frame. However, due to its lack of forward looking, the global trajectory of agents usually seems unreasonable.
Dong Xu   +3 more
semanticscholar   +1 more source

Wrist joint motion simulator

Journal of Orthopaedic Research, 1996
AbstractA computer controlled wrist joint motion simulator has been developed that actively moves forearms from cadavers through cyclic planar flexion‐extension motions, planar radial‐ulnar deviation motions, and combined motions such as circumduction. Hybrid position‐force feedback control algorithms are used to determine the wrist flexor and extensor
F W, Werner   +6 more
openaire   +2 more sources

Methodology and computational implementation of a New Zealand Velocity Model (NZVM2.0) for broadband ground motion simulation

New Zealand Journal of Geology and Geophysics, 2020
This paper presents a generalised velocity model construction methodology, its computational implementation, and application in the construction of a New Zealand Velocity Model (NZVM2.0) for use in physics-based broadband ground motion simulation.
E. Thomson, B. Bradley, Robin L. Lee
semanticscholar   +1 more source

Offline motion simulation framework: Optimizing motion simulator trajectories and parameters

Transportation Research Part F: Traffic Psychology and Behaviour, 2019
This paper presents a method to simultaneously compute optimal simulator motions and simulator parameters for a predefined set of vehicle motions. The optimization can be performed with a model of human motion perception or sensory dynamics taken into account.
Mikhail Katliar   +5 more
openaire   +5 more sources

High-Fidelity Worker Motion Simulation With Generative AI

Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Worker motion simulation synthesizes human movements in specific work scenarios to analyze behavior and assess performance, offering a cost- effective way to evaluate safety and productivity.
Neel Macwan   +4 more
semanticscholar   +1 more source

Simulating self-motion

Brain Research Bulletin, 1996
In general, vehicle motions far exceed the mechanical constraints of an earth-fixed simulator base. Inertial motions can, therefore, only be simulated in partial agreement with those of the actual vehicle. As a consequence, physical mismatches between inertial and environmental motion are inevitable. Here, the concept of a subjective reference frame is
openaire   +2 more sources

Robot Modeling, Motion Simulation and Off-Line Programming Based on SolidWorks API

International Conference on Robotic Computing, 2019
—The paper contributes to the development of a general-purpose modeling, motion simulation and off-line programming system applicable to various manipulators and mechanisms.
Nikolay Bratovanov
semanticscholar   +1 more source

Optimal motion cueing for 5-DOF motion simulations via a 3-DOF motion simulator

Control Engineering Practice, 2009
This study presents a novel motion-cueing strategy, which is applied to a motion simulator with three rotational degrees of freedom (DOF) to perform the roll, pitch, yaw, surge, and sway motions by using an online optimization algorithm. The weighting functions are adaptively tuned in each step, and the optimal Euler angles are obtained analytically ...
Yang-Hung Chang   +2 more
openaire   +1 more source

Simulating biological and non-biological motion

Brain and Cognition, 2008
It is widely accepted that the brain processes biological and non-biological movements in distinct neural circuits. Biological motion, in contrast to non-biological motion, refers to active movements of living beings. Aim of our experiment was to investigate the mechanisms underlying mental simulation of these two movement types. Subjects had to either
Bruzzo, A.   +2 more
openaire   +3 more sources

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