BackgroundThe current lower limb robotic exoskeleton training (LRET) for treating and managing stroke patients remains a huge challenge. Comprehensive ICF analysis and informative treatment options are needed. This review aims to analyze LRET’ s efficacy for stroke patients, based on ICF, and explore the impact of intervention intensities, devices, and stroke phases.MethodsWe searched Web of Science, PubMed, and The Cochrane Library for RCTs on LRET for stroke patients. Two authors reviewed studies, extracted data, and assessed quality and bias. Standardized protocols were used. PEDro and ROB2 were employed for quality assessment. All analyses were done with RevMan 5.4.ResultsThirty-four randomized controlled trials (1,166 participants) were included. For function, LRET significantly improved motor control (MD = 1.15, 95%CI = 0.29–2.01, p = 0.009, FMA-LE), and gait parameters (MD = 0.09, 95%CI = 0.03–0.16, p = 0.004, Instrumented Gait Velocity; MD = 0.06, 95%CI = 0.02–0.09, p = 0.002, Step length; MD = 4.48, 95%CI = 0.32–8.65, p = 0.04, Cadence) compared with conventional rehabilitation. For activity, LRET significantly improved walking independence (MD = 0.25, 95%CI = 0.02–0.48, p = 0.03, FAC), Gait Velocity (MD = 0.07, 95%CI = 0.03–0.11, p = 0.001) and balance (MD = 2.34, 95%CI = 0.21–4.47, p = 0.03, BBS). For participation, social participation (MD = 0.12, 95%CI = 0.03–0.21, p = 0.01, EQ-5D) was superior to conventional rehabilitation. Based on subgroup analyses, LRET improved motor control (MD = 1.37, 95%CI = 0.47–2.27, p = 0.003, FMA-LE), gait parameters (MD = 0.08, 95%CI = 0.02–0.14, p = 0.006, Step length), Gait Velocity (MD = 0.11, 95%CI = 0.03–0.19, p = 0.005) and activities of daily living (MD = 2.77, 95%CI = 1.37–4.16, p = 0.0001, BI) for the subacute patients, while no significant improvement for the chronic patients. For exoskeleton devices, treadmill-based exoskeletons showed significant superiority for balance (MD = 4.81, 95%CI = 3.10–6.52, p