Publication date 1984
Topics Robotics, Robotique, Robotics, Industrieroboter, Computacao aplicada, Robotics
Publisher New York : M. Dekker
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Language English
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Certainly! Here’s a concise overview of essential knowledge every engineer should have about robots:
1. Types of Robots
- Industrial Robots: Used in manufacturing for tasks like welding, painting, and assembly.
- Service Robots: Assist humans in various tasks, from cleaning (like vacuum robots) to delivery.
- Mobile Robots: Include autonomous vehicles and drones that navigate environments.
- Humanoid Robots: Designed to mimic human actions and appearance.
2. Key Components
- Sensors: Detect environmental conditions (e.g., cameras, LIDAR, ultrasonic sensors).
- Actuators: Convert energy into movement (e.g., motors, servos).
- Controllers: Process sensor data and command actuators (often using microcontrollers or PLCs).
- Power Supply: Batteries or power systems that provide energy to the robot.
3. Programming and Software
- Languages: Familiarity with programming languages like Python, C++, or ROS (Robot Operating System).
- Simulation Tools: Software like Gazebo or Webots for modeling and testing robots in virtual environments.
- AI and Machine Learning: Understanding how to implement algorithms for tasks like vision processing and decision-making.
4. Control Systems
- PID Controllers: Basic control mechanism for maintaining desired output levels.
- Advanced Control Techniques: Such as adaptive control, model predictive control, and reinforcement learning.
5. Kinematics and Dynamics
- Forward and Inverse Kinematics: Essential for understanding robot motion and positioning.
- Dynamic Modeling: Understanding forces and torques affecting robot movement.
6. Safety and Ethics
- Safety Standards: Familiarity with safety regulations (like ISO 10218) and risk assessment.
- Ethical Considerations: Understanding the societal impacts of robotics, including job displacement and privacy issues.
7. Interdisciplinary Knowledge
- Mechanical Engineering: Basics of mechanics and material science for designing robot structures.
- Electrical Engineering: Knowledge of circuits, signals, and power systems.
- Computer Science: Algorithms, data structures, and networking for software development.
8. Applications
- Manufacturing: Robotics in production lines, quality control, and supply chain.
- Healthcare: Surgical robots, rehabilitation robots, and assistive devices.
- Exploration: Robots for space exploration, underwater research, and hazardous environments.
9. Trends and Future Directions
- Collaborative Robots (Cobots): Designed to work alongside humans safely.
- Swarm Robotics: Multiple robots working together to achieve complex tasks.
- Soft Robotics: Flexible materials for tasks requiring delicate handling.
10. Continuous Learning
- The field of robotics is rapidly evolving; staying updated through workshops, online courses, and conferences is crucial.
This foundational knowledge can serve as a solid base for any engineer interested in robotics.
