Investigating and evolutionary multi-objective approach for conflicting task in autonomous robot

Medical emergencies are happening everyday around the world with varying severity ranging from a common road accident to a distress wounded soldier. The absence of a qualified specialist in hospitals especially in developing countries often leads to misdiagnosis which can be fatal or causing further deterioration to the patient's condition. This often solved by incorporating mobile tele-presence robots into hospitals however the exorbitant cost in maintaining and setting up the system has prevented the developing countries from using them. To solve this multi objective problem, Medical Tele-diagnosis Robot (MTR) is · developed to provide a cost efficient solution for the developing countries. MTR is a mobile medical tele-diagnosis robot which allows physicians to communicate with the patients, virtually present to give direction in a medical procedure, to diagnose patients and to round at the patients' ward. MTR consists of four parts which are communication system, navigation and medical instrument. The communication system consist a doctor-robot interface where the doctor or user can control the robot reliably via regular internet connection from a different location, a distributed secured network for MTR's communication, a low latency audio-visual communication system for tele-diagnosis and a medical data management system via hybrid P2P technology. The navigation system incorporates a four wheel holonomic drive system which provides good agility to the robot. Combinations of sensors are place around the robot to provide data on the robot's surrounding during operation. MTR's medical instrumentation includes a system to acquire Liquid Crystal Display (LCD) reading from a set of medical instruments using Optical Character Recognition (OCR) method on LabVIEW 2009 platform. The robot is also fitted with safety features which include Danger Monitoring System (DMS) and Fail Safe and Auto Recovery System (FSARS). This is realized by equipping it with fuzzy logic based system to process the data and decide preventative measures to avoid danger. All the systems are tested by a set of experiments and found to be demonstrating an acceptable performance. This system proved to be suitable for the MTR