<p>Research suggests that rehabilitation robots are more successful in restoring patients’ walking abilities when they use the gait patterns of healthy individuals as references. However, strictly adhering to these trajectories can limit the wearer’s ability to initiate movement. In contrast, assist-as-needed (AAN) strategies have proved more effective in fostering gait recovery. This paper introduces an AAN-based gait correction control strategy, anchored in admittance control. The AAN controller employs a strength index (SI) to assess the wearer’s engagement and performance, forming the basis for an adaptive adjustment strategy. By adjusting the virtual tunnel width and the stiffness coefficient of the admittance control according to the wearer’s level of engagement, the system delivers tailored assistance. In terms of human–robot interaction, the admittance controller provides precise support to correct gait while encouraging the wearer to actively participate. Experimental results show that the AAN strategy not only corrects gait effectively but also encourages wearers to play a more active role in their movement.</p>