Despite significant advancements in hip exoskeleton development, gaps remain in designing and controlling devices that prioritize stability, particularly for individuals with mobility impairments. Many existing exoskeletons focus on assistance and metabolic cost reduction but lack robust mechanisms to enhance balance and prevent falls in dynamic environments. Control strategies often rely on predefined gait patterns, which may not adapt well to real-time perturbations or user-specific stability needs. Additionally, limited integration of sensory feedback and neuromuscular models hinders the ability of exoskeletons to respond effectively to postural disturbances. Addressing these gaps requires advancements in adaptive control algorithms, real-time feedback mechanisms, and biomechanical assessments that ensure both assistive functionality and stability enhancement.