AI & Robotics

Particulars

Details

Course Level

Undergraduate, Postgraduate, Online Programmes

Duration

Offline Courses- 3-4 years
Online Courses - Few hours to 8-12 weeks

Eligibility

For Offline/Online Courses - 10+2 in any stream

Fees

Up to INR 3 lakhs

Resources

D. Y. Patil College of Engineering, Akurdi

Woxsen University Admission

Bennet University

IIT Kanpur

Coursera

Udemy

Average Salary

3.9 Lakhs

Top Recruiters

Apple, IBM, Medtronic, NVIDIA, Tesla etc.

Job Positions

Robotics Process Automation Architect, Robotics Engineer, AI research scientist, Machine learning engineer, software developer (AI robotics), AI product manager, system engineer (AI/ Robotics), AI and Robotics Consultant

Concept

Description

Sensors and Perception

Robots use sensors to gather data about their surroundings. Perception involves interpreting this sensory data to make decisions.

Actuators and Control Systems 

Actuators are devices that allow robots to move or manipulate objects. Control systems manage the actuators based on input from the robot's AI algorithms.

Machine Learning

A subset of AI enables robots to learn from data, improve their tasks over time, and make predictions or decisions without being explicitly programmed for every scenario.

Computer Vision

Enables robots to interpret and understand the visual world. This involves processing, analyzing, and making decisions based on visual data.

Navigation and Mapping

Involves the robot's ability to determine its position in the environment (localization) and create or use a map of its environment for movement (mapping).

Path Planning and Obstacle Avoidance

Path planning determines the optimal path to a target location. Obstacle avoidance ensures the robot can navigate around obstacles in its environment.

Human-Robot Interaction (HRI)

The study of interactions between humans and robots. This includes communication methods, understanding human commands, and working alongside humans safely.

Artificial Neural Networks (ANNs)

Computational models inspired by the human brain's structure and function. ANNs enable robots to recognize patterns and solve problems in a manner similar to human thinking.

Reinforcement Learning

A type of machine learning where a robot learns to make decisions by performing actions and receiving feedback in the form of rewards or penalties.

Ethics and Safety

Addresses the moral implications and safety concerns of robotics AI, including the impact on employment, privacy, security, and the development of autonomous weapons.

AI & Robotics Online Courses

Provider/ University

Duration

Robotics and AI

Great Learning

1 hour

Robotic Drives & Physics: Robotics, learn by building III

Udemy

11 hours

Introduction to Robotic Process Automation (using UIPath)

IIT Kanpur

4 hours

Introduction to Robotic Process Automation Course

Simiplilearn

2 hours

Robotics: Aerial Robotics

Coursera

17 hours

College Name

Total Tuition Fees

D. Y. Patil College of Engineering, Akurdi

INR 4.98 lakh

Woxsen University

INR 12.2 lakh – INR 15.09 lakh

Bennet University

INR 5.4 lakh – INR 14.8 lakh

Chennai Institute of Technology

INR 2 lakh

Brainware University

INR 2.4 lakh

Topic

Subtopics

Introduction to AI & Robotics

- History and Evolution of Robotics

- Overview of AI in Robotics

- Current Trends and Future Directions

Sensors and Perception

- Types of Sensors (Vision, Touch, Sound, etc.)

- Data Acquisition and Processing

- Introduction to Computer Vision

Actuators and Robot Motion

- Types of Actuators

- Basics of Robot Kinematics

- Motion Planning and Control

Machine Learning Basics

- Supervised vs. Unsupervised Learning

- Neural Networks and Deep Learning

- Applications of ML in Robotics

Advanced Machine Learning

- Reinforcement Learning

- Convolutional Neural Networks (CNNs)

- Recurrent Neural Networks (RNNs)

Computer Vision and Image Processing

- Image Acquisition and Processing

- Object Detection and Recognition

- 3D Vision and Depth Perception

Navigation and Mapping

- SLAM (Simultaneous Localization and Mapping)

- Path Planning Algorithms

- GPS and Outdoor Navigation

Human-Robot Interaction (HRI)

- Communication Interfaces

- Social Robots and Emotional AI

- Safety and Ethical Considerations

Robotics Software Platforms

- ROS (Robot Operating System)

- Simulation Environments

- Integration with AI and ML Tools

Applications of AI & Robotics

- Industrial Automation

- Healthcare Robotics

- Autonomous Vehicles and Drones

Project Development

- Project Proposal and Planning

- Design and Implementation Strategies

- Testing and Iteration

Action

Details

Obtain Relevant Education

Check online courses related to AI, ML, Robotics and related fields. 

Pursue a Bachelor's in Computer Science, Robotics, Electrical Engineering, or a related field with minors or electives in AI, machine learning, and robotics.

Gain Practical Experience

Participate in internships or co-op programs.

Work on personal or open-source projects related to AI and robotics.

Join robotics clubs or competitions (e.g., RoboCup, FIRST Robotics).

Develop Technical Skills

Learn programming languages (Python, C++, ROS).

Gain proficiency in machine learning frameworks (TensorFlow, PyTorch).

 Understand sensor integration, control systems, and computer vision.

Build a Portfolio

Document your projects, contributions to open-source, and any research work.

Include videos of robots you’ve built or programmed, code repositories, and technical blogs.

Network and Connect

Attend industry conferences, workshops, and seminars.

Join professional networks like LinkedIn and engage with AI and robotics communities.

Seek for on-the- job-training

Look for roles as a Robotics Engineer, AI Developer, or similar positions in tech companies, research institutions, or startups.

Continue Learning

Stay updated with the latest AI and robotics research and technologies.

Consider advanced degrees or certifications in specialized areas of AI and robotics.

Advance Your Career

With experience, aim for a senior developer, project lead, or managerial positions.

Consider roles in product development, research, or academia.

Designation

Skills

Salary

Robotics Engineer

Proficiency in programming (C++, Python, ROS), mechanical and electrical engineering, control systems, sensor integration, and strong problem-solving skills.

₹3.9 Lakhs 

Artificial Intelligence Consultant

Expertise in machine learning, data analysis, programming (Python, R), business acumen, ethical considerations, and excellent communication skills

₹12.1 Lakhs

Robotics Process Automation

Knowledge of RPA tools (UiPath, Blue Prism), process mapping, scripting languages, system integration, and project management.

₹6.1 Lakhs

AI Research Scientist

Deep understanding of advanced mathematics, machine learning, deep learning, programming (Python, TensorFlow, PyTorch), research methodologies, and critical thinking.

₹10.0 Lakhs

Machine Learning Engineer

Proficiency in machine learning algorithms, programming (Python, R, scikit-learn, TensorFlow), data wrangling, model evaluation, deployment strategies, and collaboration.

₹11,00,000 per year