Worked on IsaacLab to address a bug affecting IMU sensor data accuracy after reset, focusing on improving the reliability of motion estimation and robotics control simulations. The solution involved updating the Python-based IMU class by resetting its internal history states and refining the reset() method to ensure correct linear and angular acceleration measurements. This targeted fix enhanced the fidelity of downstream analytics and control tasks dependent on IMU data. All changes were implemented in accordance with contribution guidelines and pre-commit checks, ensuring code quality and traceability. The work demonstrated skills in Python programming, bug fixing, and sensor development within simulation environments.