Track Categories

The track category is the heading under which your abstract will be reviewed and later published in the conference printed matters if accepted. During the submission process, you will be asked to select one track category for your abstract.

Robotics is a combination of engineering and technology, which includes mechanical engineeringelectronics engineeringcomputer science, and other engineering domains. Robotics is one of the emerging fields now in the industry. Now in approximately every sector robots are using for making simple the situations. For a robotic process, the system requires a combination of software and physical components such as; power supply, actuators, sensors, locomotive parts, storage devices, and control software. Robotics is now widely used in military, security, construction, and field of medical, agriculture, household operation, and education.

Robotics Makes people life easy.  In the future, there is a huge chance that robots will use in every household. In Robotics Autonomous and Manual Robots both have similar importance.

  • Track 1-1Autonomous Robotics
  • Track 1-2Manual Robotics
  • Track 1-3Mobile Robotics
  • Track 1-4Multi robot system

Robots move many ways to move to accomplish their job they must do every day. Scientists research the moves found in natural sources to ensure that robots can move in an effective and precise manner. Researchers have been observing the movements and motions of animals for centuries. There are drones that can replicate the motion of insects like dragonflies, as well as birds, to fly and collect information. Arm movements of humans are the basis for almost every robot motion of a common single or dual-armed robot. These motions assist to uplift productivity in a factory by improving the speed and accuracy of the production line, which saves the manufacturer time and money.

One of the main purpose in this field is in developing capabilities for robots to autonomously decide how, when, and where to move.

  • Track 2-1Legged Locomotion
  • Track 2-2PTP, Circular, CP movement
  • Track 2-3Type of Locomotion
  • Track 2-4Robot motion planning

There is a different kind of robot controlling method. Robot controlling is one important part. Using a robot controlling method people can continue their job from a different place like drones. Mainly robots are control two different ways is using wired, wirelessly or autonomously. The easy way to control a robot is tethered where the robot relates to a remote controller using a wires or cable. Usually That kind of robots don’t have any intelligence. The robot has a microcontroller for giving access to control the robot from a keyboard or joystick. The autonomous robots are usually provided with a code which gives instruction to the robot. Wireless robot relates to controller by a transmitter-receiver, Bluetooth module or Wi-Fi.

  • Track 3-1Telerobotics
  • Track 3-2Automation
  • Track 3-3Neuro control and Fuzzy control for robotics
  • Track 3-4Controlling by Virtual Reality

Nanorobotics is the technology where machine and robot are created which size close to the microscopic scale of a nanometre. Nanorobotics is largely in the research field. Nanorobots would be necessary for very large numbers of them to work together to perform microscopic and macroscopic tasks. There is a different type of application areas such as medicine and space technology where Nanorobots can be used for improving those section.

Microrobotics is a technological field where the characteristic dimension is less than 1mm. In microrobotics we deal with the study and application of miniature ones like mobile robots of micrometre scale. Microrobots can use lightweight battery. Due to their small size, microbots are potentially very cheap and can be used in large number.

  • Track 4-1swarm robotics
  • Track 4-2Bio Robotics and Bio chips
  • Track 4-3Molecular Robots

Electric Motors are used to actuate and move something in a robot. There have different kind of parts of a robot, like it's wheels, legs, tracks, arms, fingers, sensor turrets, camera, or weapon systems. Sensors are used to detect distance, temperature, light, colour etc. Sensors have a huge role to make a robot advanced.

Motor types-

There are different types of motors like AC motor, Brushed DC motor, Brushless DC motor, Servo motor, Stepper motor, DC linear Actuator, etc.

Sensor types-

Sensors are applying in robotics to estimate a robot's condition and environment. Robots require extensive information about their environment in order to function effectively. After taking the information those signals are passed to a controller to enable appropriate behaviour. There is some example of sensors are Light sensor, Sound Sensor, Temperature Sensor, Contact Sensor, Proximity Sensor, Distance Sensor, Pressure Sensor, etc.

  • Track 5-1Motor applications and types
  • Track 5-2Sensor applications and types
  • Track 5-3Sensor detecting System

There is a huge opportunity for Robotics in the Military sector. An unmanned aerial vehicle, unmanned tanks, robotics vehicles, etc. A robot can save many lives of soldiers. In future robot will fill the gap of human resource in the military.

An unmanned aerial vehicle (UAV) is an Aircraft where no pilot needs to be on board. UAV is also known as drone among the public. A normal drone is used for surveillance, but UAV can be loaded with weapon and missile. Unmanned tanks and war vehicle will be very useful for the defence system. Objectives and Unauthorized human can be detected with the help of Artificial intelligence and robotics. We can improve the Border alert system Significantly with Artificial intelligence.

  • Track 6-1Robotics border system
  • Track 6-2War robots
  • Track 6-3UAV and AUV

Artificial intelligence is a mechanical simulation which is used for simulating human intelligence in machines that are programmed to think like humans and mimic their actions. Artificial intelligence may be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. The goal is to simulate natural intelligence to solve a complex problem.

Artificial intelligence must need access to properties, categories, objects and relations between all of them to implement knowledge engineering.

  • Track 7-1AI-Based Methods
  • Track 7-2AI Applications
  • Track 7-3Brain-Machine Interface
  • Track 7-4Artificial Neural Networks

Ensuring the safety of a protected area is a hard task. But the autonomous robot can face those challenge effectively. We can modify those robots according to the situation of the area. Surveillance is a major thing when we are going to secure anything as it is tedious job peoples are getting boarded because of that it will might risky to observing all these things we are going to make a robot which is continuously monitor thing. An artificial intelligence robot can recharge itself when it needs. There are many scopes in the security and surveillance for a Robot. The implementation of this project to resolve the problem of replacing human to artificial intelligence surveillance robot. For different situation Different size of robots can be used like We can use small size robot for entering in tunnels, mines and small holes in the building and We can use tough robots to survive in harsh and difficult climatic conditions for lifelong time without causing any harm. Military robots were designed from the last few decades.

  • Track 8-1Human Detection and Tracking
  • Track 8-2Drones technology
  • Track 8-3Robotics Surveillance system

Machine learning is a subject where computers get the capability to learn without being explicitly programmed. There are many examples of Machine learning like self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is a form of artificial intelligence. It is created in such a way that it can enable traditional computers to do tasks without any human intervention. With the help of Machine learning, computers to handle new situations via analysis, self-training, observation and experience.

  • Track 9-1Machine learning Methods
  • Track 9-2Natural Language Processing
  • Track 9-3Hardware and Software Brains
  • Track 9-4Reinforcement Learning

Nowadays robotics put a huge impact from science fiction to your local hospital, where they are changing healthcare. Robots can help medical personnel by doing routine tasks in medical, that take their time away from more responsibilities. Medical cost for patients can be reduced by using robots. Robots can be used for helping patients.  For difficult surgery, like surgery in tiny or dangerous places robots can perform well and transport dangerous substances.Soon we will inevitably work closely with medical robots.

  • Track 10-1Robotics and AI in surgery
  • Track 10-2Robotics and AI in Medicine Sector
  • Track 10-3Pharmacy automation

Because there is a possibility of huge growth in robotics, the industrial organizations are looking for the opportunity to stabilise their presence in this sector. In approximately every sector the robotics and artificial intelligence can be used. Robotics and artificial intelligence can provide better service and productivity.

  • Track 11-1Robotics in Space Industry
  • Track 11-2Robotics in Transportation Industry
  • Track 11-3Robotics in Manufacturer Industry
  • Track 11-4Role of AI in Industry

Farmers are facing a huge problem of global shortage of labour and foods. So, they are moving towards robotics technology. Artificial Intelligence, field sensors, and data analytics are some of the advanced systems used in that endeavour, but the one area in which these technologies converge is robotics. They will help farmers address the issue of a dwindling workforce and allow them to work more efficiently while saving money on labour. Agriculture robots sometimes known as agribots, will create a deep influence in the Agricultural field. Advanced robotics systems will collect the data and examine those data as well as improve the maintaining process of plants.

  • Track 12-1Harvesting and picking
  • Track 12-2Autonomous mowing, pruning, seeding, spraying and thinning

humanoid robot is a robot which body shape is built to look like a human. Normally humanoid robots have two hands, two legs, a body and a head though some forms of humanoid robots may model only part of the body. Now with the help of artificial intelligence and machine learning Some humanoid robot can express emotion on their face with eyes, mouth and cheek. They will answer your question and sometimes they make a joke according to situations.

For improving this area many organisations are doing research on Humanoid robots. Humanoid robot is made with different kind of motors and sensors. There is various example of a humanoid robot.

  • Track 13-1Hand Robotics
  • Track 13-2Body planning and designing
  • Track 13-3Walking Robots
  • Track 13-4Autonomous Navigation of Humanoid robots

The networking system is growing very fast. It can extend the robotics application in many fields in everyday life. Accordingly, new advanced services depend on the interplay between Robotics and Cyber security, are being an important role in the field of Robotics and AI domain, where networked robots are expected to work in complex environments. Network System is necessary to connect with robots from anywhere. A good network system is needed for long-distance connection. Network Robot Systems call for the integration of several fields like robotics, sensor systems, ubiquitous computing, artificial intelligence, and network communications.

  • Track 14-1Privacy, Autonomy and Control
  • Track 14-2Mechatronics

Data science is an important and valuable skill. With the advance in data science, the field of Robotics has improved to a great extent. Using data science, scientists need to improve predicting every action of a robot, and two, reducing the computational complexity in real-time vision tasks. The fields of data scienceAI, and ML are intrinsically linked to one another. Machines learn via advanced algorithms and perform specific tasks while simultaneously improving performance through experience with the help of data science, machine learning and robotics. Data science make robotics more advanced and more accurate.

Thus, Data Science, AI, and Robotics have some Symbolic relationship. Each section helps another section for enhancing and innovate new machine and technologies that will make our lives more convenient than ever.

  • Track 15-1Deep learning
  • Track 15-2Big data in Robotics and AI
  • Track 15-3Data analysis

Human-Robot Interaction topic dedicated to understanding, designing, and evaluating robotic systems for use by or with humans. HRI try to understand communication between robots and humans. Nowadays relationship between human and robot improved very much as for example- now people work with robots in production factories, there are many robots came in market which help human making easy their life.

With the help of artificial intelligence computer can directly communicate with human. After few years it will be common that every call agent will be an artificial intelligence system.

  • Track 16-1Robot-City Interaction
  • Track 16-2Privacy, Autonomy and Control
  • Track 16-3Hybrid Intelligent Systems

Future of robotics is very bright where innovation always evolves. Now robots become more human which can feel, sense, express emotions etc. Almost in every field robotics put impression.

According to a research, 60% of people at UK believe that there will be a robot in every home within in 50 years and only a quarter of them can't imagine a life where a robot wouldn't be part of their family. Interaction of robot can save their many hours of daily lives.

  • Track 17-1Soft Robotics
  • Track 17-2Advanced Robotics
  • Track 17-3Expansion of Robotics & AI Sector