The crew’s safety is the most important aspect of any ongoing vessel. Many tasks on the ship are unsafe to the crew, so robots may be used to ensure the crew’s safety without compromising work quality. This lets self-driving ships to be designed lightweight and with fewer crew members, thereby lowering the use of fuel and their ecological impact. It is planned to use a gesture control robot for this purpose, which could control some ship operations from shore with a confined crew on-board a vessel. When working on these gesture control robots, internet of things (IoT) will be used for signal transmission from shore to ship as well as ship to shore. Arduino or Raspberry Pi controllers can be used to capture and transmit a signal, and a sequence of commands can be given ahead of time to overcome serious emergency situations. A signal transmission station and a signal transmitting suit may be required to accomplish this, which propagates a signal to the IoT cloud server, where the signal is further transferred to the centralised receiver plant onboard, which contains a receiver and a decoder and sends signal to the robot comprised of a micro-controller like Raspberry Pi or Arduino, which controls a motor and mimics our gesticulations. This paper presents a detailed study of a multi-degree autonomous ship, as well as an examination of recent literature and the various gesture control mechanisms with numerous applications.