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Part of the Robotics & Autonomous Systems Architect Pathway

Certified Robotics & Autonomous Systems Specialist

Perception & Navigation

Real computer vision, autonomous navigation, and multi-sensor localization for robotics.

About 86 hours of real coursework

Enroll in this Pathway
The Credential

Certified Robotics & Autonomous Systems Specialist — Perception & Navigation

Finishing every course is not what earns this credential. You earn it by demonstrating all 2 required competencies through real, assessed evidence, then bringing them together in the Project below — reviewed end to end, not graded on attendance.

Robotics and Autonomous Systems

  • Computer Vision for Robotic Perception
  • Autonomous Navigation & Path Planning

Course Sequence

"Engineer computer vision systems using convolutional neural networks, transfer learning, and object detection."

Included Modules
Convolutional Neural Networks (CNNs)
Image Preprocessing Techniques
Transfer Learning
Object Detection Concepts
Model Accuracy Optimization

"The core of autonomous mobility: real localization and mapping fundamentals (SLAM concepts), practical path-planning algorithms, and real-time obstacle avoidance -- not abstract theory, the working practice."

Included Modules
Localization & Mapping Fundamentals (SLAM Concepts)
Path Planning Algorithms
Obstacle Avoidance & Real-Time Navigation
Real SLAM Implementations (gmapping, ORB-SLAM or Equivalent)

"Navigation-specific sensor fusion, distinct from control-loop sensor fusion: real practice combining IMU, GPS, and LiDAR data into one reliable localization estimate, including handling noisy or conflicting readings."

Included Modules
IMU, GPS & LiDAR: What Each Sensor Actually Gives You
Fusing Multiple Sensor Streams for Localization
Handling Noisy & Conflicting Sensor Data
Kalman Filters & Extended Kalman Filters in Practice

Skills Gained

  • Computer vision pipeline development
  • Autonomous path planning
  • Multi-sensor localization (IMU/GPS/LiDAR)
  • Real-time perception processing
  • SLAM implementation

Professional Competencies

  • • Computer vision engineering
  • • Autonomous navigation systems design
  • • Sensor fusion engineering

Industry Tools

OpenCV ROS2 Navigation Stack PCL (Point Cloud Library) Kalman / particle filters GPS/IMU hardware
The Project

Perception & Navigation Portfolio Project

Independent specialization capstone -- demonstrates the RASA-NAV specialization's own competencies. Earned completely independently of any other RASA-Specialize specialization.

  1. 1

    Execute

    Perception & Navigation Portfolio Project

Ready to Start?

This program is part of the Robotics & Autonomous Systems Architect — Specialize Pathway. You'll pick your starting cohort for Certified Robotics & Autonomous Systems Specialist — Perception & Navigation — the first program in the pathway — on the next step.

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