This paper presents a comparative evaluation of two local planners – Timed Elastic Band (TEB) and Model Predictive Control (MPC) – on a holonomic mecanum-wheeled robot operating in confined indoor environments. While TEB is widely integrated in ROS navigation stacks, benchmarking of MPC under the same conditions remains limited. The evaluation considers completion time, tracking accuracy, path length, and velocity profiles, using a narrow corridor with static obstacles as the test environment. Experimental results show that TEB produced short paths with moderate tracking accuracy but exhibited slow and discontinuous motion. In contrast, MPC achieved lower tracking errors (as low as 0.02 m), shorter completion times (24 – 25 s), and higher peak velocities (up to 0.81 m/s), while maintaining smooth and consistent motion. These results highlight MPC’s superior performance in holonomic path tracking and its suitability for real-time navigation in cluttered indoor spaces.