دوره مقدماتی رباتیک
Chapter 1: Introduction to Robotics
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
Chapter 2: Fundamental Concepts in Robotics
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
Chapter 3: Robot Hardware Components
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
Chapter 4: Basics of Robot Kinematics
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
Chapter 5: Basics of Robot Dynamics
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
Chapter 6: Introduction to Robot Sensors
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
Chapter 7: Introduction to Robot Actuators
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
Chapter 8: Introduction to Embedded Systems in Robotics
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
Chapter 9: Introduction to Robot Control
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
Chapter 10: Introduction to Mobile Robotics
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
Chapter 11: Basics of Robot Programming
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
Chapter 12: Introduction to Industrial Robotics
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
Chapter 13: Basics of Humanoid 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
Chapter 14: Swarm Robotics
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
Chapter 15: Introduction to Autonomous 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
دوره پیشرفته رباتیک
Chapter 1: Advanced Robot Kinematics and Dynamics
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
Chapter 2: Advanced Control Techniques for Robots
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
Chapter 3: Advanced Mobile Robotics
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
Chapter 4: Advanced Humanoid 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
Chapter 5: AI and Deep Learning in 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
Chapter 6: Computer Vision for 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
Chapter 7: Robotics and the Internet of Things (IoT)
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
Chapter 8: Soft 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
Chapter 9: Ethical and Legal Aspects of 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
Chapter 10: Collaborative Robots (Cobots)
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
Chapter 11: Autonomous Mobile Robots (AMRs)
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
Chapter 12: Mobile Manipulators
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
Chapter 13: Multi-Agent Systems
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
Chapter 14: Decentralized Control in Robotics
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
Chapter 15: Cognitive Robotics
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
Chapter 16: Sustainable Robotics
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
Chapter 17: Neuromorphic Computing in 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
Chapter 18: Emerging Trends and Future of Robotics
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
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