Dec 21, 2020 · In this paper, we present a human motion prediction framework to predict the motion trajectory of human arm in a reaching task.
Dec 9, 2024 · In this paper, we present a human motion prediction framework to predict the motion trajectory of human arm in a reaching task. The proposed ...
Dec 31, 2020 · Due to this requirement, predicting human motion using visual infor- mation plays a significant role in human-robot collaboration. (HRC) [5].
Towards this goal, this paper investigates deep learning as a data driven technique for continuous human motion analysis and future HRC needs prediction ...
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This thesis aims to develop an adaptive learning and control framework with a novel physical and data-driven approach towards a real collaborative robot. The ...
Hidden Markov model is used in the motion sequence to generate a motion transition probability matrix. Based on the result, human motion prediction becomes ...
Aug 16, 2021 · This paper proposes an iterative adversarial data augmentation (IADA) framework to learn neural network models from an insufficient amount of training data.
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The proposed digital HRC model consists of a digital human model, a digital robot, and an admittance controller. The randomly generated human motion and ...
Sep 19, 2023 · Robotics & AI Summer School 2023 Human Motion Prediction for Human-Robot Interaction by Javier Laplaza ...
Missing: Data Driven
Dec 24, 2024 · In this paper, an Adaptive Hybrid Network (AHN) is implemented for effective human motion intention prediction.