VADER: Vector-Quantized Generative Adversarial Network for Motion Prediction
Mohammad Samin Yasar,Tariq Iqbal,Mohammad Samin Yasar,Tariq Iqbal
Human motion prediction is an essential component for enabling close-proximity human-robot collaboration. The task of accurately predicting human motion is non-trivial and is compounded by the variability of human motion and the presence of multiple humans in proximity. To address some of the open challenges in motion prediction, in this work, we propose VADER, a novel sequence learning algorithm ...