at bristol robotics lab, scientists are trying to work out how in the future we could treat cancer usingight fight the bad cells in a tumour, the red dots, by forming a trail to the problem area, targeting the infected tissue and delivering drugs directly to it. so how do you control millions of nano robots to do such a complex task? well, the answer lies in nature. this is swarm behaviour at its best. doctor sabine howard and her team are harnessing the laws of nature and applying them to robotics. it is fascinating because each one of these robots is following a simple set of rules and only looking at the local environment. and the effect of all of the robots working together gives you these beautiful swarm figures. it is easy to programme robots to follow simple rules and they would certainly produce some sort of swarm. but sabine is trying to do it the other way around. she knows what complex swarm patterns that she wants and she needs to find the simple rules that produce them. either we use bio inspiration, from nature, or we use machine learning where we do it automatically. or we

at the bristol robotics lab in the uk, a mock house is being used to predict what social care of the ight look like. patients in their homes, but supported by a host of robots and smart devices. the fridge is open. pepper has automatically recognised that the fridge has now opened. there's some chicken soup. you could heat that in the microwave. there's some chicken soup, i can heat that in the microwave. as well as recognising certain sensors around the house, pepper is designed for other functions, aimed at keeping people in their own homes, such as physiotherapy exercises. critics argue that robots can never replace the human interaction between carer and patient. 0thers point to their ability to go wrong. but if robots mean that people can live independently in their own homes for longer, then it might be we see more of them knocking around our kitchens in the future. that was kat. now, medical technologies, of course, are improving across—the—board. one example is the use of wearable technology for tracking facial muscles. now this can be transformative for people with conditions