Course Includes:
- Mode: Offline\Online
- Language: English\Hindi
- Certificate: Yes
- Project Certificate: Yes
Course Description
Robotics, a transformative fusion of engineering, AI, and mechanics, encapsulates the creation of versatile machines that navigate the physical realm. What sets it apart is the amalgamation of disciplines, allowing robots to interact with the world, sense their surroundings, and respond autonomously. Their diverse autonomy levels, from full independence to human-assisted operation, enable a wide array of applications. AI integration elevates their problem-solving capabilities, fostering adaptability. Robotics, with its inbuilt safety challenges and ethical considerations, leads to collaborative human-robot synergies. This field’s continual innovation drives advancements like soft robotics and biohybrid designs, making it a pivotal force reshaping industries and human-machine interaction.
Module 1: Introduction to Robotics
• Definition of Robotics
• Historical Overview
• Key Components and Terminology
Module 2: Mechanics and Electronics
• Mechanics in Robotics
• Electronics and Sensors
• Actuators and Motors
Module 3: Robot Kinematics
• Forward and Inverse Kinematics
Module 4: Robot Dynamics
• Lagrange Equations
• Dynamic Modeling
Module 5: Robot Control
• Feedback Control
• PID Control
Module 6: Perception and Sensing
• Sensors and Sensor Fusion
• Computer Vision
• LIDAR and Radar
Module 7: Artificial Intelligence in Robotics
• Machine Learning in Robotics
• Path Planning and Decision Making
Module 8: Mobile Robotics
• Mobile Robot Navigation
• Localization Techniques
Module 9: Manipulation and Grasping
• Robotic Arm Kinematics
• End Effector Design
• Grasping Techniques
Module 10: Industrial and Collaborative Robotics
• Applications in Manufacturing
• Safety Considerations
• Human-Robot Collaboration
Final Project
4 Week Course Content
+
Module 11: Aerial and Underwater Robotics
• Drone Technology
• Underwater Robots
• Applications in Research and Industry
Module 12: Ethics and Social Implications
• Ethical Considerations
• Legal Aspects
• Social Impact of Robotics
Module 13: Specialized Topics
• Soft Robotics
• Swarm Robotics
Module 14: Capstone Project
• Students work on a robotics project applying the knowledge gained throughout the course.
Module 15: Future Trends and Research Directions
• Emerging Technologies
• Research Opportunities
Final Project
Challenges include developing natural movement, facial expressions, and emotional intelligence in robots.
Robots have mechanical structures, electronics for control, and sensors for perception.
The purpose of a robotics course is to provide a comprehensive understanding of the principles, design, and programming involved in creating robotic systems for diverse applications.
While prior programming knowledge is helpful, many robotics courses cater to beginners and provide the necessary foundational programming skills during the course.
Commonly used programming languages in robotics courses include Python, C++, and ROS (Robot Operating System).
The curriculum typically covers robotics fundamentals, kinematics, dynamics, sensors, actuators, control systems, and programming for robotics.
Some robotics courses offer specialization tracks, allowing learners to focus on areas such as industrial robotics, autonomous systems, or human-robot interaction.
Yes, a robotics course equips you with the knowledge and skills needed to initiate and complete your own robotics projects.
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