The God presented 5 senses are the miracles we living creatures posses. Smell, hear, taste, touch and sight are those 5 miracles. Now it’s the time for the man made robots to posses those miracles.

Robots are able to move and find information needed in any place on earth where human being cannot go. If robots got these senses, then obviously the work stress of us can be minimized and better results can be found where even our senses will not be sensitive enough to find the defected things.


Over the last two decades, “electronic sensing” or “e-sensing” technologies have undergone important developments from a technical and commercial point of view. The expression “electronic sensing” refers to the capability of reproducing human senses using sensor arrays and pattern recognition systems.

The above is a touch sensor used to assess the traffic density.

Like say, if we have a bot which can identify the slight change in environmental smell, it will be very helpful in alarming the workers who work in coal mines where unwanted toxic methane gas production is a threat to them. In such cases if the smell checking bot is present to identify the methane gas presence in such area, it will definitely save a number of people lives. This is an example of the famous ELECTRONIC NOSE.


Since 1982, research has been conducted to develop technologies, commonly referred to as electronic noses, which could detect and recognize odors and flavors. The stages of the recognition process are similar to human olfaction and are performed for identification, comparison, quantification and other applications, including data storage and retrieval.

Electronic noses include three major parts: a sample delivery system, a detection system, a computing system.

These names indicate the performance characteristics of those respective components. The sample delivery system results in the volatile compounds of the certain input whose odor is to be measured. The sample delivery system enables the generation of the headspace (volatile compounds) of a sample, which is the fraction analyzed. The system then injects this headspace into the detection system of the electronic nose. The sample delivery system is essential to guarantee constant operating conditions.

The detection system, which consists of a sensor set, is the “reactive” part of the instrument. When in contact with volatile compounds, the sensors react, which means they experience a change of electrical properties. Each sensor is sensitive to all volatile molecules but each in their specific way. Most electronic noses use sensor arrays that react to volatile compounds on contact: the adsorption of volatile compounds on the sensor surface causes a physical change of the sensor. A specific response is recorded by the electronic interface transforming the signal into a digital value. Recorded data are then computed based on statistical models.

The computing system works to combine the responses of all of the sensors, which represents the input for the data treatment. This part of the instrument performs global fingerprint analysis and provides results and representations that can be easily interpreted. Moreover, the electronic nose results can be correlated to those obtained from other techniques (sensory panel, GC, GC/MS). Many of the data interpretation systems are used for the analysis of results. These systems include artificial neural network (ANN), fuzzy logic, pattern recognition modules, etc…

Some of the applications are

In quality control laboratories for at line quality control such as

  • Conformity of raw materials, intermediate and final products
  • Batch to batch consistency
  • Detection of contamination, spoilage, adulteration
  • Origin or vendor selection
  • Monitoring of storage conditions.


Now it’s the turn of sense, taste. Any rotten food products when packing in dump may result in contamination of another healthy product too. Hence if we find the rotten product and separate it from other products, it would be indeed a quite good success. So, we can say that our scientists have succeeded in such sense assessment to bots.

A new magnetic tongue is able to detect flavors as well as the human tongue, and could lead to the development of automated tasters in food processing plants. While current devices have only been able to analyze certain carefully prepared samples, the magnetic tongue provides a detailed sensory description. The tongue uses nuclear magnetic resonance spectroscopy to analyze tastes without the need for chemicals.

Though this concept is still a newbie, it almost started vibrations in the field of canned food packing.

Scientists analyzed the chemical composition of 18 different types of tinned tomatoes by examining hydrogen atoms with nuclear magnetic resonance spectroscopy. The proton in the nucleus of a hydrogen atom acts like a tiny magnet. A pulse of energy flips the proton’s magnetic field, and the proton releases energy as it relaxes back to its original orientation.

A hydrogen atom’s location in a complex molecule like a sugar influences how quickly it relaxes, giving each hydrogen atom a unique signal based on its relaxation speed. Using these signals, the scientists identified several common sugars and protein building blocks called amino acids in each tomato sample.

Statistical analysis correlated collections of these compounds with flavors like saltiness, sweetness, and bitterness, as ranked by trained tasters. The “magnetic tongue” tastes tomato liquid practically straight from the can. Manufacturers could sample tomatoes during production with this sensor and quickly adjust their methods to create better tasting products.

This magnetic tongue will be so popular in future that every food processing factory may own it.

There are so many sense robots which are useful in controlling the traffic in several countries. This can be called as touch sensor. And a sensor can be used to find the ore’s, which will be helpful in simplifying the digging up of ore where the sensor locates. This can be called a s ore detector. Though this doesn’t come under sense robots, its pretty fair to talk about it here.

Let these bots may help in healthier and peaceful world.


Gopi Chand(MGIT ECE 4th Year)