Visual Interaction Force Estimation Based on Time-Sensitive Dual-Resolution Learning Network

Figure 1

Schematic diagram of our proposed method, which includes three processing steps: (a) performing continuous frame normalization processing on the robot running video collected by the camera; (b) constructing a deep semantic interaction model based on the TDL network and automatically extract deep fusion spatiotemporal semantic information; (c) building a streamlined predictive model to achieve efficient estimation of the interaction force of the robot.