<p>This paper studies the path maneuvering problem for a class of strict-feedback multi-input multi-output (MIMO) uncertain nonlinear systems with full-channel sensor faults. Unlike conventional trajectory tracking that focuses solely on terminal objectives, the considered problem involves an additional process objective. A modular adaptive control strategy is adopted to design a fuzzy predictor-based nonlinear adaptive path maneuvering controller, which consists of an estimation module and a control module. In the estimation module, a fuzzy predictor is developed to approximate both the sensor-fault-corrupted states and uncertain nonlinear dynamics. In the control module, an improved nonlinear dynamic surface control law is first designed to fulfill the terminal objective, followed by a path maneuvering update law to achieve the process objective. The resulting closed-loop system is proven to be input-to-state practically stable. Notably, unlike existing methods, the proposed controller directly employs the fuzzy predictor’s state estimates for control law construction. Simulation results validate the effectiveness of the proposed control strategy.</p>