A deep learning framework for realistic robot motion generation

R Dong, Q Chang, S Ikuno - Neural Computing and Applications, 2023 - Springer
Humanoid robots are being developed to play the role of personal assistants. With the
development of artificial intelligence technology, humanoid robots are expected to perform …

Online detection of compensatory strategies in human movement with supervised classification: a pilot study

N Das, S Endo, S Patel, C Krewer… - Frontiers in …, 2023 - frontiersin.org
Introduction Stroke survivors often compensate for the loss of motor function in their distal
joints by altered use of more proximal joints and body segments. Since this can be …

Rsmt: Real-time stylized motion transition for characters

X Tang, L Wu, H Wang, B Hu, X Gong, Y Liao… - ACM SIGGRAPH 2023 …, 2023 - dl.acm.org
Styled online in-between motion generation has important application scenarios in computer
animation and games. Its core challenge lies in the need to satisfy four critical requirements …

Real-Time Character Rise Motions

B Kenwright - arXiv preprint arXiv:2304.05056, 2023 - arxiv.org
This paper presents an uncomplicated dynamic controller for generating physically-
plausible three-dimensional full-body biped character rise motions on-the-fly at run-time. Our …

A Data-Driven Approach for Generating Vortex-Shedding Regime Maps for an Oscillating Cylinder

M Cann, R McConkey, FS Lien, W Melek, E Yee - Energies, 2023 - mdpi.com
This study presents a data-driven approach for generating vortex-shedding maps, which are
vital for predicting flow structures in vortex-induced vibration (VIV) wind energy extraction …

Learning-based methods for planning and control of humanoid robots

P Viceconte - 2023 - iris.uniroma1.it
Nowadays, humans and robots are more and more likely to coexist as time goes by. The
anthropomorphic nature of humanoid robots facilitates physical human-robot interaction …

[引用][C] Filtered Pose Graph for Efficient Kinect Pose Reconstruction