AI in Robotics
Artificial Intelligence plays a crucial role in enhancing the capabilities of robots, enabling them to perform tasks autonomously. Key areas of focus include path planning, perception through various sensors, and ensuring effective human-robot interaction. This integration of AI in robotics is vital for advancements across multiple industries, including manufacturing and healthcare.
Enroll to start learning
You've not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Sections
Navigate through the learning materials and practice exercises.
What we have learnt
- AI enhances robot autonomy by enabling complex task performance.
- Path planning ensures robots can navigate without colliding with obstacles.
- Perception through sensors allows robots to understand and interact with their environment.
Key Concepts
- -- Configuration Space (Cspace)
- Represents all possible positions and orientations of the robot.
- -- Obstacle Avoidance
- Ensures the path taken by the robot does not collide with obstacles.
- -- Sensor Fusion
- Combines data from multiple sensors to achieve a robust understanding of the environment.
- -- Simultaneous Localization and Mapping (SLAM)
- A technique for building a map of an unknown environment while simultaneously tracking the robot's position.
Additional Learning Materials
Supplementary resources to enhance your learning experience.