It’s amazing how artificial intelligence (AI), machine learning and data science technologies are transforming lifestyles worldwide. From rendering applications such as customisable streaming platforms, music software, home solutions, remote devices, voice-based search, interactive chatbots and others, the role of machine learning has been instrumental in bringing forth technological change.

Machine learning has influenced most modern technical inputs and has given rise to applications that were only thought of in imagination. Machine learning and artificial intelligence have today automated complex tasks, led to the invention of self-driven cars and modelled space shuttles that are capable of heading into space by themselves.

However, the following burning questions remain:-

• Can Machine Learning potentially transform the field of Robotics?

• Are there any existing machine learning software at our disposal that can help in automating machines?

• Which algorithms or techniques undergo while devising robotic models?

Professionals who want to acquire roles in the robotics or machine learning industry need to have answers to the questions mentioned above. Enrolling for a machine learning certification program that a reputable institute provides will enable new engineers and data science enthusiasts to get a deeper understanding of robotics and machine learning. Based on the well-planned techniques, algorithms and other nuances taught by these certificate programs, such as the machine learning online certification from IIM Raipur, executives can get a solid start to their careers.

Principles of Machine Learning in Robotics

Machine learning has become a global trendsetter in paving the way for technical solutions that have made human lives easier and more efficient. Machine learning certification will render learners with the role of robotics in giving machine learning the platform to experiment with different sets of techniques, algorithms and effective software tools used by machine learning experts.

Certain trademark principles of machine learning is leveraged by robotics; these include the following:-

• Provides the purpose of Robots

Machine learning algorithms like deep learning and the utilisation of deep neural networks and other salient techniques have optimised the robotic potential. Teaching and training robotics data sets can be performed at great speeds with accurate results through combining machine learning methodologies.

Several machine learning engineers and domain experts consider the operations, functions, activities and results that particular robotic machinery needs to perform and track its progress.

• Feeding Robots with Information and Planning

Just like any other machine learning software or application requires pre-feed information, the same goes for robotics. Teaching robots takes place in two parts- planning and learning. Planning is quite similar to the physical process of tutoring robots for performing tasks as per industrial needs.

Learning involves a selection of inputs and outputs. Thereafter, insights are gathered on the basis of the reaction of robots on those inputs and reports are generated. Furthermore, there are set training models in place that help maximise the credibility of the learning process.

• Educating Robotic Models with Accurate Data

Educating robots and feeding them with data sets is an intricate process and requires skilful implementation of data analytics in machine learning domains. It’s essential for robotics engineers and other back-end developers to provide clean, accurate data and doesn’t include errors. Data disruption is a significant cause of robotics failures and must be avoided at any cost.

As shown from the features mentioned above, there’s a great impetus on training and teaching robots with accurate data to perform their tasks with finesse. Moreover, while deploying robotics applications in machine learning environments, it’s essential to abide by these principles taught in detail through the machine learning certification from IIM Raipur.

How does the Field of Robotics Employ Machine Learning Concepts?

The machine learning certification sheds light on the noticeable robotic applications that form a part of the machine learning realm and their coexistence in the technological world. Employing and utilising machine learning concepts towards auguring robotics applications helps render businesses with automated machines and other technical advances that help them grow financially. Furthermore, for consumers, robotics helps in making lives smoother.

Here’s a list of machine learning application in the field of robotics:-

• The emergence of Computer Vision

The incorporation of machine learning and robotics has allowed robots to assess, evaluate, and process physical data fed into their systems through programming or information chunks. The application of kinematics allows techniques such as reference frame calibration and the robot’s ability to affect its domain and environment.

• Imitation-Based Learning

As the name suggests, Imitation-based learning is focused on teaching robotic models through other models and creating a plan for following a similar path for achieving results.

Imitation based learning has found numerous applications in domains such as construction, agriculture, military, food processing and other sectors. Imitation models come in handy while developing off rough terrain mobile navigators, humanoid robotics and legged locomotion.

• Self-Supervised Learning

Self-supervised learning, contrary to imitation-based learning models, enable robots to learn by themselves and generate results. Self-supervised learning incorporates a large data-set for detecting and rejecting objects.

Specific examples of self-supervised learning include road-detection algorithm, fuzzy support vector machines, watch-bot that utilises a 3D camera for detecting human movement, amongst others.

• Multi-Agent Learning

Multi-agent learning methodologies involve machine learning robots that are adaptive to changing landscapes and other “agents”. Gamification and virtual reality-based applications are prime examples of multi-agent-based learning.

Multi-agent based learning models take the help of no-regret tools for bolstering multi-agent planning.

The applications as mentioned above cover different facets of robotic engineering, be it providing robust models for computer vision, imitation-based, self-supervised or multi-agent learning, the machine learning online certification from IIM Raipur includes knowledge of all these aspects.

Future of Robotics: Filled with Potential

The future of robotics looks promising. Given the applications discussed above, machine learning can play a defining role in deploying technologies that can immensely help businesses, consumers, and other end-users.

Enrolling for a machine learning certification that an esteemed university offers can enable professionals to move further in their careers. The machine learning online certification from IIM Raipur is amongst the credible programs that teach the theoretical, practical and skill-sets of this domain to its learners.