• Lesson 1: What is Robotics?
• Lesson 2: History and Evolution of Robotics
• Lesson 3: Types of Robots and Their Applications
• Lesson 4: Key Components of a Robot
• Lesson 5: Overview of the Course

• Lesson 1: Degrees of Freedom (DOF)
• Lesson 2: Actuators and Sensors in Robotics
• Lesson 3: Kinematics vs. Dynamics
• Lesson 4: Open-loop vs. Closed-loop Systems
• Lesson 5: Control System Basics in Robotics

• Lesson 1: Introduction to Robot Hardware
• Lesson 2: Motors and Actuators
• Lesson 3: Sensors and Their Applications
• Lesson 4: Power Systems for Robots
• Lesson 5: Embedded Systems in Robotics

• Lesson 1: Introduction to Kinematics
• Lesson 2: Forward and Inverse Kinematics
• Lesson 3: Coordinate Systems and Transformations
• Lesson 4: Jacobian and Singularities
• Lesson 5: Applications in Industrial Robots

• Lesson 1: Introduction to Dynamics
• Lesson 2: Newton-Euler Formulation
• Lesson 3: Lagrange’s Equation in Robotics
• Lesson 4: Dynamic Stability of Robots
• Lesson 5: Practical Applications of Dynamics

• Lesson 1: Types of Sensors Used in Robotics
• Lesson 2: Vision Sensors and Cameras
• Lesson 3: Tactile and Proximity Sensors
• Lesson 4: IMUs and Motion Tracking Sensors
• Lesson 5: Sensor Fusion and Data Processing

• Lesson 1: Types of Actuators (Electric, Hydraulic, Pneumatic)
• Lesson 2: Servo Motors and Stepper Motors
• Lesson 3: Linear Actuators
• Lesson 4: Control of Actuators
• Lesson 5: Selection of Actuators for Different Robots

• Lesson 1: What are Embedded Systems?
• Lesson 2: Microcontrollers vs. Microprocessors
• Lesson 3: Popular Embedded Boards (Arduino, Raspberry Pi, etc.)
• Lesson 4: Programming Basics for Embedded Systems
• Lesson 5: Interfacing Sensors and Actuators

• Lesson 1: Open-loop vs. Closed-loop Control
• Lesson 2: PID Controllers in Robotics
• Lesson 3: Control System Stability
• Lesson 4: Adaptive Control in Robotics
• Lesson 5: Case Studies on Robot Control Systems

• Lesson 1: Types of Mobile Robots
• Lesson 2: Wheel Configurations and Motion Models
• Lesson 3: Sensors for Mobile Robots
• Lesson 4: Path Planning and Obstacle Avoidance
• Lesson 5: Applications of Mobile Robots

• Lesson 1: Introduction to Robot Programming Languages
• Lesson 2: ROS (Robot Operating System) Basics
• Lesson 3: Writing Simple Robot Programs
• Lesson 4: Simulation of Robots using Gazebo
• Lesson 5: Introduction to Robot Middleware

• Lesson 1: What are Industrial Robots?
• Lesson 2: Types of Industrial Robots
• Lesson 3: Programming Industrial Robots
• Lesson 4: Safety Considerations in Industrial Robotics
• Lesson 5: Future of Industrial Robotics

• Lesson 1: What are Humanoid Robots?
• Lesson 2: Kinematics of Humanoid Robots
• Lesson 3: Locomotion and Balancing in Humanoids
• Lesson 4: Sensors in Humanoid Robots
• Lesson 5: Applications of Humanoid Robots

• Lesson 1: What is Swarm Robotics?
• Lesson 2: Communication in Swarm Robots
• Lesson 3: Self-Organization in Swarm Robotics
• Lesson 4: Applications of Swarm Robotics
• Lesson 5: Future of Swarm Robotics

• Lesson 1: What are Autonomous Robots?
• Lesson 2: Navigation and Mapping
• Lesson 3: Path Planning in Autonomous Robots
• Lesson 4: Challenges in Autonomous Robotics
• Lesson 5: Real-World Applications

• Lesson 1: Advanced Forward and Inverse Kinematics
• Lesson 2: Redundant and Parallel Manipulators
• Lesson 3: Newton-Euler and Lagrange Formulations in Depth
• Lesson 4: Compliance and Force Control
• Lesson 5: Case Studies on Robot Dynamics

• Lesson 1: Model Predictive Control (MPC)
• Lesson 2: Adaptive and Robust Control
• Lesson 3: Nonlinear Control Methods
• Lesson 4: Fuzzy Logic in Robotics
• Lesson 5: Case Studies on Advanced Control Systems

• Lesson 1: Simultaneous Localization and Mapping (SLAM)
• Lesson 2: Probabilistic Robotics
• Lesson 3: Multi-Robot Coordination
• Lesson 4: Real-World Challenges in Mobile Robotics
• Lesson 5: Case Studies in Mobile Robotics

• Lesson 1: Advanced Walking Algorithms
• Lesson 2: Machine Learning for Humanoids
• Lesson 3: Gesture Recognition and Interaction
• Lesson 4: Humanoid AI Assistants
• Lesson 5: Case Studies in Humanoid Robotics

• Lesson 1: Role of AI in Robotics
• Lesson 2: Neural Networks for Robot Perception
• Lesson 3: Deep Learning for Object Detection
• Lesson 4: Reinforcement Learning for Robotics
• Lesson 5: Future Trends in AI and Robotics

• Lesson 1: Image Processing for Robots
• Lesson 2: Object Detection and Tracking
• Lesson 3: 3D Vision and Depth Perception
• Lesson 4: Edge AI and Embedded Vision
• Lesson 5: Case Studies in Robot Vision

• Lesson 1: Introduction to IoT-enabled Robotics
• Lesson 2: Cloud Robotics
• Lesson 3: Smart Sensors and Connected Devices
• Lesson 4: Cybersecurity in Robotics and IoT
• Lesson 5: Case Studies in IoT-enabled Robotics

• Lesson 1: Introduction to Soft Robotics
• Lesson 2: Materials and Design of Soft Robots
• Lesson 3: Control Strategies for Soft Robots
• Lesson 4: Bio-Inspired Soft Robotics
• Lesson 5: Applications and Future of Soft Robotics

• Lesson 1: Ethics in Autonomous Systems
• Lesson 2: Legal Issues and Robotics Regulations
• Lesson 3: Human-Robot Interaction and Safety
• Lesson 4: Robotics in Warfare and Security
• Lesson 5: Future Ethical Challenges

• Lesson 1: Introduction to Cobots
• Lesson 2: Safety Features and Human Interaction
• Lesson 3: Applications of Cobots in Industries
• Lesson 4: Programming and Control Mechanisms
• Lesson 5: Future Trends in Collaborative Robotics

• Lesson 1: Fundamentals of Autonomous Navigation
• Lesson 2: Sensors and Perception in AMRs
• Lesson 3: Path Planning and Obstacle Avoidance
• Lesson 4: Applications in Warehousing, Healthcare, and Security
• Lesson 5: Challenges and Future Innovations

• Lesson 1: Combining Mobility and Manipulation
• Lesson 2: Kinematics and Dynamics of Mobile Manipulators
• Lesson 3: Control Strategies and Path Planning
• Lesson 4: Applications in Manufacturing and Service Robotics
• Lesson 5: Future Trends in Mobile Manipulation

• Lesson 1: Fundamentals of Multi-Agent Coordination
• Lesson 2: Communication Protocols for Multi-Robot Systems
• Lesson 3: Distributed Decision Making
• Lesson 4: Applications in Robotics and AI
• Lesson 5: Challenges and Open Research Areas

• Lesson 1: Introduction to Decentralized Control
• Lesson 2: Advantages Over Centralized Systems
• Lesson 3: Distributed Sensing and Communication in Robotics
• Lesson 4: Applications of Decentralized Control in Robotics
• Lesson 5: Research Trends and Challenges

• Lesson 1: Cognitive Architectures in Robotics
• Lesson 2: Learning, Reasoning, and Adaptation in Robots
• Lesson 3: AI and Machine Learning in Cognitive Robotics
• Lesson 4: Human-Robot Interaction and Ethical Considerations
• Lesson 5: Future Prospects of Cognitive Robots

• Lesson 1: Eco-Friendly Materials in Robotics
• Lesson 2: Energy-Efficient Robot Design
• Lesson 3: Recycling and Circular Economy in Robotics
• Lesson 4: Applications in Green Technology and Environmental Monitoring
• Lesson 5: Future Innovations in Sustainable Robotics

• Lesson 1: Introduction to Neuromorphic Computing
• Lesson 2: Brain-Inspired Hardware for Robotics
• Lesson 3: Spiking Neural Networks and Robotics Applications
• Lesson 4: Advantages Over Traditional AI Models
• Lesson 5: Challenges and Future Directions

• Lesson 1: Quantum Computing in Robotics
• Lesson 2: Edge Computing for Robotics
• Lesson 3: Exoskeletons and Assistive Robotics
• Lesson 4: AI-Augmented Robotics
• Lesson 5: Transfer Learning in Robotics
• Lesson 6: Surgical Robotics
• Lesson 7: AI-Driven Robotics Simulation
• Lesson 8: The Next Generation of Robotics

Course Duration: about 100+20 hours

The online class is held via Skype (or Zoom or Microsoft Teams) and the cost per hour of tutoring is only $15. At the end of this long course, you will master all the required basic and advanced concepts of "Robotics" and we will accomplish a real-world project together for about 20 hours with TensorFlow or PyTorch Library or Matlab Software, which fully prepares you to find a job as a entery Robotics Engineer in AI job markets.
To book this class, message or call my telegram or WhatsApp:
+98 (912) 490-8372 or +98 (935) 490-8372.
You can also send email to me:
abolfazl.mohammadijoo@gmail.com