Results 281 to 290 of about 4,571,499 (346)

Action Physics

International Journal of Theoretical Physics, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
D. Finkelstein
openaire   +2 more sources

A Physics-Informed Action Network for Transient Stability Preventive Control

IEEE Transactions on Power Systems, 2023
This letter proposes a physics-informed action network (PIAN) for power system transient stability preventive control (TSPC). The network firstly renders deep learning to reduce the TSPC complexity.
You-bo Liu, Shuyu Gao, Gao Qiu, Tingjian Liu, L. Ding, Junyong Liu   +5 more
semanticscholar   +1 more source

Biomechanics-Guided Facial Action Unit Detection Through Force Modeling

Computer Vision and Pattern Recognition, 2023
Existing AU detection algorithms are mainly based on appearance information extracted from 2D images, and well-established facial biomechanics that governs 3D facial skin deformation is rarely considered.
Zijun Cui, Chenyi Kuang, Tian Gao, Kartik Talamadupula, Qiang Ji   +4 more
semanticscholar   +1 more source

Physics-Shielded Multi-Agent Deep Reinforcement Learning for Safe Active Voltage Control With Photovoltaic/Battery Energy Storage Systems

IEEE Transactions on Smart Grid, 2023
While many multi-agent deep reinforcement learning (MADRL) algorithms have been implemented for active voltage control (AVC) in power distribution systems, the safety of electrical components involved in the operation of these algorithms are mostly ...
Pengcheng Chen, Shichao Liu, Xiaozhe Wang, I. Kamwa   +3 more
semanticscholar   +1 more source

Capturing Hands in Action Using Discriminative Salient Points and Physics Simulation

International Journal of Computer Vision, 2015
Hand motion capture is a popular research field, recently gaining more attention due to the ubiquity of RGB-D sensors. However, even most recent approaches focus on the case of a single isolated hand.
Dimitrios Tzionas, Luca Ballan, A. Srikantha, Pablo Aponte, M. Pollefeys, Juergen Gall   +5 more
semanticscholar   +1 more source

How are actions physically implemented?

2009
This chapter focuses on the interdisciplinary discussion between cognitive psychologists and neuroscientists on how actions, the results of decision processes, are implemented. After surveying the approaches used in action implementation research, we analyze the contributions of these different approaches in more detail.
Zentgraf, Karen, Green, Nikos, Munzert, Joern, Schack, Thomas, Tenenbaum, Gershon, Vickers, Joan N., Weigelt, Matthias, Wolfensteller, Uta, Heekeren, Hauke R., Raab, Markus, Johnson, Joseph, Heekeren, Hauke   +11 more
openaire   +3 more sources

PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation

European Conference on Computer Vision
Realistic object interactions are crucial for creating immersive virtual experiences, yet synthesizing realistic 3D object dynamics in response to novel interactions remains a significant challenge.
Tianyuan Zhang, Hong-Xing Yu, Rundi Wu, Brandon Y. Feng, Changxi Zheng, Noah Snavely, Jiajun Wu, William T. Freeman   +7 more
semanticscholar   +1 more source

Physical activity: a (mobile) call to action [PDF]

BMJ, 2020
The need to take “urgent action to improve low levels of physical activity”1 seems true for most countries. Despite the health and economic burden of inactivity23 and the benefits of even light activity,4 policies—in high, middle, and low income countries—have not succeeded in making people move.5 In Brazil, where physical activity could prevent 15 ...
Erno Harzheim, Lucas Alexandre Pedebôs, Lucas Matturro, Otávio Pereira D'Avila, Lívia de Almeida Faller   +4 more
openaire   +2 more sources

ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills

Robotics
Humanoid robots hold the potential for unparalleled versatility in performing human-like, whole-body skills. However, achieving agile and coordinated whole-body motions remains a significant challenge due to the dynamics mismatch between simulation and ...
Tairan He, Jiawei Gao, Wenli Xiao, Yuanhang Zhang, Zi Wang, Jiashun Wang, Zhengyi Luo, Guanqi He, Nikhil Sobanbab, Chaoyi Pan, Zeji Yi, Guannan Qu, Kris Kitani, Jessica Hodgins, “Jim” Fan, Yuke Zhu, Changliu Liu, Guanya Shi   +17 more
semanticscholar   +1 more source

WorldVLA: Towards Autoregressive Action World Model

arXiv.org
We present WorldVLA, an autoregressive action world model that unifies action and image understanding and generation. Our WorldVLA intergrates Vision-Language-Action (VLA) model and world model in one single framework.
Jun Cen, Chaohui Yu, Hangjie Yuan, Yuming Jiang, Siteng Huang, Jiayan Guo, Xin Li, Yibing Song, Hao Luo, Fan Wang, Deli Zhao, Hao Chen   +11 more
semanticscholar   +1 more source