Learning Objectives
5 objectives- Understand the fundamental concepts and history of robotics and identify different types of robots.
- Analyze robot kinematics and dynamics to model and predict robot motion.
- Explain the roles of sensors and actuators and their integration in robotic systems.
- Develop skills in robot programming, control algorithms, and motion planning techniques.
- Evaluate industrial and mobile robotic applications along with their ethical and social implications.
Content Outline
PreviewUnit 2127: Comprehensive Robotics
1. Introduction to Robotics
- Definition and scope of robotics
- Historical evolution of robotics
- Types of robots: industrial, mobile, humanoid, service robots
- Fundamental components of a robot system: sensors, actuators, controllers, end effectors
2. Robot Kinematics and Dynamics
- Mathematical representation of robot motion
- Coordinate frames and transformations
- Position, velocity, and acceleration vectors
- Forward kinematics: calculating end-effector position from joint parameters
- Inverse kinematics: determining joint parameters for desired position
- Robot dynamics: forces, torques, and motion equations
3. Sensors and Actuators in Robotics
- Sensors for perception and feedback
- Proximity sensors, touch sensors
- Cameras and vision sensors
- Encoders and inertial measurement units (IMUs)
- Actuators for robot movement
- Electric motors (DC, stepper, servo)
- Pneumatic and hydraulic actuators
- Comparison of actuator types and selection criteria
4. Robot Programming and Control
- Robot programming languages and frameworks
- ROS (Robot Operating System)
- Python and C++ for robotics
- Control algorithms
- PID control fundamentals
- Motion planning and trajectory generation
- Feedback and feedforward control systems
5. Robot Vision and Perception
- Image processing basics
- Filtering, edge detection, and segmentation
- Object recognition techniques
- Feature extraction and machine learning approaches
- Depth sensing technologies
- Stereo vision, LIDAR, time-of-flight sensors
- Integration of vision systems with robot control
6. Industrial Robotics
- Applications of robots in manufacturing
- Robot manipulators and robotic arms
- Automated production lines
- Robotic welding and assembly
- Safety considerations in industrial robotics
- Benefits and challenges of robotic automation
7. Mobile Robotics
- Autonomous navigation concepts
- Localization and mapping (SLAM)
- Obstacle detection and avoidance
- Path planning algorithms (A*, Dijkstra, RRT)
- Types of mobile robots
- Ground robots, drones, self-driving cars
- Challenges in dynamic environments
8. Ethical and Social Implications of Robotics
- Job displacement and economic impact
- Privacy and security concerns
- Ethical use cases in healthcare and military
- Robotics’ role in shaping future work and society
- Regulatory and policy considerations
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