Category: Robotics

5 Machine Learning Trends Will Train the IoT MarketAeroAstro Engineering

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The ever-growing world of Information and Technology will soon experience new changes as IoT and machine learning is evolving rapidly. Here we have five of the most dominant machine learning trends that is set to change the IoT Market.

Mobile Machine Learning

The highly compressed machine learning chips will be probably the biggest trend that will affect the presence of IoT. These chips with neural network capabilities will not be as powerful as their cloud-based counterparts, still they will be capable of machine learning tasks.

Automated Data Science

The technology will automate tasks such as scribbling data, removing trivial errors, and deleting junk data which are carried out regularly and are also prone to errors. Such as advent, hence will make this process smooth.

Synthetic Data

Researchers who works on IoT and machine learning algorithms might need a certain amount of data to carry out experiments. In such cases, instead of creating their own data, these professionals can use already existing relevant data. Probably knows as the synthetic data, this collection can be immediately linked to a machine learning algorithm to carry out experimentation.

Machine Learning Hardware

Engineers have now developed some new machine learning hardware that can efficiently and quickly crunch numbers located on the cloud. These tools made the process more quick and affordable.

The Machine Learning’s Black Box Limitation

Machine learning algorithms are generally not programmed, but get evolved as experiment takes place to collect and process data to generate useful information. This can be a hurdle for those who try to deploy machine learning in medical devices. Researcher says they are still making efforts in this direction.

Drones learn to navigate by imitating Cars and Bicycles Autonomously

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The commercial drones these days make use of the Global Positioning System (GPS) to traverse. Such a method works fine when the drones fly at a high altitude. But the real hurdle arises when these drones navigate autonomously at a lower altitude. At such low altitudes, there are several issues such as

  • More density of building
  • Unstructured stress with the movement of several vehicles and humans.

The drones at this level have not reached to such a stage where they can react to an unforeseen event quickly. There are ways to enhance the functionalities of these drones.

Integration of autonomous navigation in drones

The development of DroNet by researchers at the National Centre of Competence in Research (NCCR) Robotics and the University of Zurich shows that autonomous navigation of drone is possible. It is an algorithm that helps the drones to fly through the busy streets of a city safely. With the help of one input image, it produces two outputs:

  • A steering angle and
  • A collision probability

The former helps the drone to avoid accidents, while the later helps it to identify the dangerous situations and react to them.

Powerful artificial intelligence algorithm

A team of Swiss researchers sought the help of a powerful algorithm and a normal smartphone camera to make the drones smarter. The combination helped the drone interpret the real-time situation and react accordingly. The algorithm used, consisted of Deep Neural Network.

Teaching the Drones through Cars and Bicycles

The collection of training examples is one of the biggest issues in Deep Learning. The drones can learn by imitating the driving behavior in the examples. Thus, Prof. Scaramuzza, along with his team collected the data from cars and bicycles driving in urban areas.

Fully autonomous drones – The Future

Through this research, the doors are open to several applications such as parcel delivery, surveillance and much more. The drones can drive within the clustered roads, with ease and save a lot of time. However, the team cautions from expecting too much from cheap drones.

Four Key Advanced Manufacturing Technologies Used in Aerospace

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Advanced Manufacturing technologies have become one of the most important parts of the Aerospace industry. This is because of the unique challenges that the aircraft designers deal with. The aircraft designs need to consider the environmental conditions using strong materials that are both lightweight and temperature resistant. Such designs require micro and Nano- machining techniques. Here are four advanced machining technologies that are used in the Aerospace industry.

Additive Manufacturing  

The Aerospace industry was quick to identify the benefits and potential of Additive Manufacturing to design its planes. The technology uses Power-Bed laser printing systems to build its most components. Additive manufacturing technology is used to build structures that work within the fuselage with features such as reduced weight and reduce heat. An additive manufacturing technique, commonly known as the Fused Deposition Modeling, is used to create semi-hollow parts of the aircraft wings by both adding strength and reducing weight.

Composite Materials

Composite materials are widely used to design aircraft. Aerospace engineers prefer using these materials because of their favorable characteristics of flexibility, strength, temperature and chemical resistance. Composite materials and advanced polymers in the design help to improve performance and reduce lifecycle costs. These materials also reduce the overall weight of the aircraft cutting short their fuel consumption and carbon emissions.

Robotics

Robots are used in the aerospace industry to manage the labor-intensive process, particularly when lifting and handling tasks are to be done. The industry is using powerful robots in its manufacturing plants to move and join aircraft parts. Robotics is also taking care of manufacturing process that is hazardous to people such as painting and welding.

Laser Beam Welding

This technology offers rapid and high precision work as compared to the traditional welding techniques. Laser welding is, therefore, a preferred solution for handling materials when repeatability and high accuracy is required. The most advantageous property of this technique is that it transfers very little heat to the material that is welded. This way it does not create a heat affected zone around the weld, ultimately not compromising the strength and performance of the material.

With the widespread use of these technologies, the aerospace industry has also inspired several other industries to use these technologies in the manufacturing process. These techniques have undoubtedly simplified the manufacturing processes and reduced costs to a greater extent. Their accuracy and precision have reduced the number of failure points in the manufacturing process.

What Are The 7 Tech Trends That Will Dominate In 2017?

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The power of technology in 2016 was astounding. Right from the power to retrieve any information to communicate with others through the shortest device that fits in our pockets. We have already seen many advances in the field of Internet of Things, Artificial Intelligence, Automobile, etc. Since, the technological innovations have taken over the consumer market by a storm, remain eager for what 2017 has in its store for you:

Augmented Reality and Virtual Reality

No wonder, AR, and VR were witnessed as big hits in 2016. We have an example as Pokemon Go, a smartphone based Augmented reality game that has witnessed  100 million downloads. Since then the market is paving its way towards AR and VR-based applications and devices. 2017 is expected to show great jumps in the field of AR/VR in the global markets.

Machine Learning 

Machine learning will enter almost every consumer application and suggest products based on prior purchase to improve the user experience. Therefore, in 2017, machines will learn, adapt, and act in an autonomous mode instead of executing on some pre-defined instructions.

Autonomous Cars

3The merger of various IOT devices has made it possible for the car makers such as BMW, Tesla, and others to make driver-less cars. 2017 shall also look towards the advancement such as car-to-car communication, cars talking to each other, traffic information and accident related information.

 

 

 

Smart Home Tech 

We are not living in smart homes yet but have been hearing about Internet of Things in the home space for many years. However, with the big technological players such as Google, Amazon, and Facebook who will be entering the domain shall help in witnessing commercialization of smart homes.

Services On Demand 

Premises of phone apps that the startups have built such as cab services- “Uber”, food delivery services- “Food Panda”, and ability to book places of stay- “Make My Trip” is nothing but the way technology is blessing us. It is expected to see some more advancement in the stream of apps that are going to benefit in an extraordinary way.

Automation  

Automation can relate with robotic journalists that we have witnessed and will soon make the leap towards the practical type of articles, simplifying the human-exclusive tasks. Therefore, automation combining with machine learning will improve everything faster and will turn 2017 as a landmark year.

Physical-Digital Integrations 

Mobile devices have already gifted us a pleasure to view and purchase things online. Exaggeration to such technology, we might experience the integration of physical and digital realities. The online brand we see today might add attractive features such as store maps, dash buttons, and product trails in 2017.

Robotics

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Robotics is a blend of science and arts brought together. Mechanical engineering perspective is multidisciplinary in Robotics which represents science, while the drilling models and submission projects take the form of art as it requires a lot of creativity and vision along with calculation to get the ultimate result.

Robotics has several branches. It is not rigid rather flexible. It is a field where there is a continuous evolution. It is a steady learning curvature where your thoughts would just mould into new actions. In India there is a lot of pressure when it comes to selecting a branch of engineering. But in the end it all depends upon the interests and desires of an aspirant.

What can I achieve with Robotics?

what_we_can_achieveRobotics is a real mix of all branches of engineering. You need to be good at mechanical engineering, be a good control engineer, a good electronic engineer, any branch of engineering, gets into robotics. But whatever you decide, you have to put your heart and soul into it. Robotics for a student can lead him/her to enter the field as a technician or as an engineer.

  • Robotic technician requires a 2-year degree
  • Robotic Engineer requires a 4-year degree.

Apart from these two choices at the heart of Robotics, an aspirant also has the opportunity to dive deep into other Robotics sector by selecting any of the field mentioned below.

  • Career in Robotics
  • Application engineer
  • Manufacturing assembly
  • Programmer
  • Quality control
  • Software developer
  • Support specialists and trainers

The above mentioned details were related to the general idea about robotics. A slight hint of what the course is about and what can it offer. Finally we move on to the most important aspect, Why Robotics of all fields? What is the scope of Robotics at a global level & finally Trends in Robotics 2015.

Why Robotics?

Robotics engineers and technicians are responsible for operating robots and researching, designing, creating, testing and troubleshooting problems. This is one of the most sought after field all around the world.

There is a boom in the technical industry for graduates. Their demand is rising day by day. Thus, one can be rest assured that the dearth of job opportunities won’t be a cause of concern when he graduates.

Robotics is one of the most trending career options right now as it is at the helm of inventions and innovations. Robotics offers flexibility to students. It gives them their space to brainstorm about new ideas. It sets the base to great discoveries and leads the way towards great innovations.

Imagine yourself as the creator of the HD Curved TV which has been introduced lately, thanks to LG. Now think about 5 years ago, did anyone saw this coming? Such is the innovation that this technology has been put forth in mobile devices too.

 ”Normally, We dream. We think. We dream and we keep thinking.

In Robotics We Dream. We forecast. We plan. We Execute. We Conquer.”

Scope of Robotics

trendsRobots at first place are designed with the fundamental rule of carrying out specific tasks. Gradually surpassing the level and objectives the design starts to get a little advance and in such advance version, the robots are designed in such a way that they are adaptive, responsive and are able to adjust to environment.

Robots, though autonomous should be able to make decisions on their own. This is considered to be a pre-requisite of designing a robot. We have to remember that although designing a robot the most important thing to be taken in consideration is, obviously, the function to be performed.

When it comes to performance, here arises the need for discussion about the scope of the robot and robotics. Robots have basic levels of complexity and each level has its scope for performing the requisite function.

Before moving onto the latest trends in Robotics, we would like to share some important piece of information with you. The mechanization in processing of Robots is divided into three parts:

Hard

In the Hard type, the series of processing operations is fixed by the structure or configuration of the equipment used in. The significant characteristic of the hard type is the high capital investment as ion automobile assembly line.

Programmable

In programmable Automation, the same tools can be reprogrammed to suit the requirement of diverse types of products.

Flexible

In flexible automation, the reprogramming is done offline. The two vital elements of robotics are numerical control and tele-operations. The two technologies of numerical control of tele-operation are combined in industrial robots.

Trends in Robotics 2015

Industrial robots (IR) – automatic equipment with pre-programmable operating system to perform motion and control functions in production process which replace analogical functions of human in manipulation and technological operations.

Service Robots (SR)- Service robots (SR) – uniform and generally approved definition is not accepted yet; interpretation has been accepted that they are freely programmable mobile devices that partly or fully perform service operations.

industrialrobotsThe decisive and most important feature of SR is locomotion parts (wheeled, walking, floating, special), which secure their mobility. Superstructure of locomotion parts is always solved according to the type of task (transport, manipulation, technological), which is supposed to be performed by SR and at the same time whole SR is designed in concept and details according to the kind and character of environment (dangerous, harmful, communal, domestic), in which it operates.

Personal robots (PR) – uniform and generally approved definition has not been accepted yet, there is an interpretation in the process of formulating that it is a freely programmable device, which partly or fully automatically performs service operations.

Recent trends in Robotics

Here are some recent inventions which have taken the Robotics industry by storm. They have garnered huge applause from the world’s top technology sites and at World’s leading Technology Conference CES. So here are few discoveries that have the capabilities to affect our future in a drastic way.

1.Hexo + Drone

2.Nanotech & Material Science

3.Dual arm robots

4.Eyes on the hand

5.Wearable robots

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