In this article, we propose a hybrid framework using visual and force sensing for human-robot co-carrying tasks. Visual is utilized to obtain human motion an observer designed estimating control input of human, which generates robot's desired toward human's intended motion. An adaptive impedance-based strategy proposed trajectory tracking with neural networks used compensate uncertainties in dy...