We present our work on tele-operating a complex hu- manoid robot with the help of bio-signals collected from the operator. The frameworks (for robot vision, collision avoidance and machine learning), developed in our lab, allow for a safe interaction with the environment, when combined. This even works with noisy control signals, such as, the operator’s hand acceleration and their elec- tromyography (EMG) signals. These bio-signals are used to execute equivalent actions (such as, reaching and grasp- ing of objects) on the 7 DOF arm.