While vision supplies information about distant objects, touch is invaluable in sensing the nearby environment. However, in designing intelligent, life-like machines, the use of touch has been largely overlooked, until now.
Led by Professor Tony Prescott of the University´s Department of Psychology, the team will develop new technologies inspired by the use of touch in the animal kingdom. In nocturnal creatures, or those that inhabit poorly-lit places, this physical sense is widely preferred to vision as a primary means of discovering the world.
The Norwegian rat and the Etruscan shrew, for example, use their whiskers to make sense of their environment. The mammals sweep their whiskers back and forth at high speeds in a controlled manner, allowing them to use touch signals alone to recognize familiar items, determine the shape and surface of objects, and track and capture prey.
Using their understanding of the animal kingdom, the team will develop two machines endowed with similar sensing capabilities, including a whiskered robot that can seek-out, identify and track fast-moving target objects.
Professor Prescott said: “Overall, our project will bring about a step-change in the understanding of active touch sensing and in the use of whisker-like sensors in intelligent machines. Today´s life-like machines, such as robots, don´t make effective use of touch. By learning from nature and developing technologies that do use this physical sense, our researchers will be able to enhance the capabilities of the machines of the future.”