Fusion of Temporal Transformer and Spatial Graph Convolutional Network for 3-D Skeleton-Parts-Based Human Motion Prediction
The field of human motion prediction has gained prominence, finding applications in various
domains such as intelligent surveillance and human–robot interaction. However, predicting …
domains such as intelligent surveillance and human–robot interaction. However, predicting …
Neural admittance control based on motion intention estimation and force feedforward compensation for human–robot collaboration
W Ai, X Pan, Y Jiang, H Wang - International Journal of Intelligent Robotics …, 2024 - Springer
To enhance robotic manipulator adaptation to human partners and minimize human energy
consumption in human–robot collaboration, this paper introduces a neural admittance …
consumption in human–robot collaboration, this paper introduces a neural admittance …
Video Compression and Action Recognition in Self-supervised Learning
Z Hao, C Hao, K He - 2024 Asia-Pacific Conference on Image …, 2024 - ieeexplore.ieee.org
In computer vision, neural network models typically require a large amount of manually
annotated images or video data for training. To reduce annotation costs, self-supervised …
annotated images or video data for training. To reduce annotation costs, self-supervised …