Autonomous Systems & Navigation
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This course covers the core principles behind autonomous systems and robotic navigation.
It focuses on perception, localization, mapping, path planning, and motion execution for mobile and autonomous robots.
Learners will gain a structured understanding of how autonomous robots operate in real-world environments such as warehouses, roads, and indoor spaces.
Learning Outcomes:
✔ Understand autonomous system architecture
✔ Implement perception and sensor-based navigation concepts
✔ Learn localization and mapping fundamentals
✔ Design path planning and obstacle avoidance strategies
✔ Understand motion execution and control integration
✔ Apply navigation techniques to real robotic systems
✔ Analyze real-world autonomous system case studies
- Autonomous system architecture explanations
- Navigation algorithm walkthroughs
- Sensor-based perception concepts
- Simulation-oriented learning approach
- Real-world autonomous robotics use cases
- Completion certificate
- Robotics and automation engineers
- Autonomous vehicle and mobile robot developers
- ROS and robotics software learners
- Embedded and AI system developers
- Engineering students & freshers
- Laptop or desktop
- Basic robotics and sensors knowledge
- Basic programming understanding
- Prior ROS basics recommended
- 8 Sections
- 8 Lessons
- 4 Weeks
- Introduction to Autonomous Systems1
- Perception & Sensor Fusion1
- Localization Techniques1
- Mapping & SLAM Fundamentals1
- Path Planning Algorithms1
- Obstacle Avoidance & Motion Planning1
- Navigation Stack Integration1
- Applications & Case Studies1
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