Societies have been automating the process of making, providing goods and services for centuries, to comply process of automating social needs robots are being introduced as the best choice now a day. The main purpose of automating things is to provide assistance to human work or to provide an alternative to human efforts so the work can be done in an efficient way in minimum possible time. Robots are serving industries as skilled labor and their work effectiveness leading next industrial revolution. The concept of human-assisted robots is very common in industries where repetitive, difficult or hazards tasks are done using robotic assistance and research done in this area is quite mature. Due to increasing interest in social Engineering different perspective of human assistance robot for elderly or handicapped peoples are supposed to be developed. The conditions for the human assistant robot are dynamic in nature they are not like industrial tasks which are mostly repetitive in nature. The cope up with this dynamic?s various real-time control strategies are to be developed by implementing different algorithms. Often developing algorithm will be an easy task if muscle related activates can be acquired accurately. The signals related to muscle activities can be acquired efficiently and process to generate comparative output in order to replicate muscle activities artificially using some set of actuators. This paper will introduce different possible control strategies and highlight the applicability of Electromyography (EMG) in human assistance robot.