2022
A "Look-Backward-and-Forward" Adaptation Strategy for Assessing Parameter Estimation Error of Human Motion Prediction Model
RA-L 2022
The prediction of human motion is essential for safe human-robot collaboration (HRC). For existing prediction methods based on adaptive neural network (NN) models, estimation errors (EEs) of model parameters are directly coupled with prior EEs of trajectories. This results in poor assessment of the