Abstract
The first industrial robot, the PUMA (Programmable Universal Manipulator Arm) was built by a company called animation in 1961. According to history, 50 years ago robots were viewed as creations designed to exterminate the human race as portrayed in science fictions. To help resolve this assumption, Isaac Asimov compounded the three laws of robotics to protect humans from interactions with robots (Asimov 1984). The laws states that: (1) a robot may not injure a human being or, through inaction, allow a human being to come to harm. (2) a robot must obey the orders given it by human beings except where such orders would conflict with the First Law. (3) a robot must protect its own existence as long as such protection does not conflict with the First or Second Laws. (1). Asimov’s law are considered unscientific by researchers yet it unarguably forms the basis of various machine learning activities used in many manufacturing sectors. Furthermore, the field of robotics has highly evolved by producing a wide variety of objects from autonomous machines to human collaborative robots through the use of artificial intelligence and machine learning. By monitoring the ever increasing research activities in machine learning, it cannot be denied that human robot collaborations is only expected to keep growing. In the logistics industry, collaborative robots are achieving human-like dexterity which allows for increased productivity. This work expands on the foundation of existing scientific research in the ergonomic aspect of human robot communication in warehouses which promotes seamless collaboration of robots and human workers.