DE-TGN: Uncertainty-Aware Human Motion Forecasting Using Deep Ensembles
DE-TGN: Uncertainty-Aware Human Motion Forecasting Using Deep Ensembles
Ensuring the safety of human workers in a collaborative environment with robots is of utmost importance. Although accurate pose prediction models can help prevent collisions between human workers and robots, they are still susceptible to critical errors. In this study, we propose a novel approach called deep ensembles of temporal …