Update README.md

README.md

 # Hypobot
 
+In the UK alone in 2015, 1182 paramedics were called to treat hypoglycaemic attacks [1],
+one of the most common complications of diabetes, which affects 422 million people
+world wide [2]. Advanced age increases the risk of these attacks, which are more likely to
+result in hospitalisation. There is a scarce number of robotic-based solutions that aim to
+solve problems faced by Diabetics; those that do exist are mainly invasive or proactive in
+nature but do not eradicate the problem of hypoglycaemic attacks. This dissertation
+introduces a reactive solution, HypoBot; a system that integrates multiple mobile robots to
+deliver a self-administrable medical payload to an individual suffering from a
+hypoglycaemic attack. The aim of this solution is to not only aid in an individual's
+recovery but to also reduce the stress on caregivers and lower the number of paramedic
+call-outs. A proof of concept of the HypoBot system was developed integrating multiple
+TurtleBot2’s in simulation. A single mobile robot was integrated into the HypoBot system
+on the real hardware and ran successfully. The system is able to respond to mock
+hypoglycaemia events by evaluating which robots in the system would be the optimal
+choice to deliver the payload directly to the user. Furthermore, the system allows each
+robot to manage its own inventory. Multiple best suited approaches to localising a patient,
+as found by a critical analysis of potential solutions including a novel end to end
+transformer absolute pose regression model, were implemented into the HypoBot system.
+Results show that the application of the HypoBot system is feasible provided some
+changes are made such as varying the location of the robots base and finding an alternative
+method in deciding which event should be attended to first.
+
 ## Support
 
-ROS - Melodic
-Python2.7
+*ROS: Melodic
+*Python: 2.7
 
 ## Getting started