Robust Human Motion Forecasting using Transformer-based Model

arXiv:2302.08274v3 Announce Type: replace
Abstract: Comprehending human motion is a fundamental challenge for developing Human-Robot Collaborative applications. Computer vision researchers have addressed this field by only focusing on reducing error in predictions, but not taking into account the requirements to facilitate its implementation in robots. In this paper, we propose a new model based on Transformer that simultaneously deals with the real time 3D human motion forecasting in the short and long term. Our 2-Channel Transformer (2CH-TR) is able to …

arxiv cs.cv forecasting human robust transformer type