71 Lessons( 20 week )

• Introduction to Mobile Robotics
• 1. Types of Mobile Robots: AGVs Vs AMRs 0 minute
• 2. Assessment – Types of Mobile Robots: AGVs Vs AMRs 0 minute
• 3. Kinematics: Differential, Omnidirectional, Ackermann
• 4. Sensors Overview: Lidar, IMU, Encoders, Cameras
• 5. Basic Path Planning and Control Loop Concepts
• Linux & Python for Robotics
• 1. Ubuntu Basics, ROS File System Structure
• 2. Bash Scripting, Git Version Control
• 3. Python for ROS Nodes and Sensor Data Handling
• ROS 2 Basics
• 1. Introduction to ROS 2 and its Ecosystem
• 2. Nodes, Topics, Services, Parameters, Launch Files
• 3. Creating and Launching ROS 2 Packages
• 4. Using Rclpy, Colcon and Rviz2
• Simulation & Visualization
• 1. Introduction to Gazebo and ROS-Gazebo Integration
• 2. Simulating a Differential Drive Robot
• 3. TF (Transform) Tree, Rviz Visualization Tools
• 4. Intro to URDF And Xacro Robot Modeling
• Sensor Integration
• 1. Lidar (2D/3D): Laserscan Messages, Point Cloud Basics
• 2. IMU and Odometry Integration
• 3. Camera Calibration and Stereo Vision Basics
• 4. ROS Sensor Drivers and Tools
• SLAM & Mapping
• 1. Hector SLAM, Gmapping, Cartographer Basics
• 2. Configuring SLAM in Gazebo with Virtual Lidar
• 3. Creating Maps of Simulated Warehouse Environments
• 4. Recording and Replaying Bag Files
• Localization Techniques
• 1. Kalman Filter and Particle Filter Fundamentals
• 2. AMCL (Adaptive Monte Carlo Localization) in ROS 2
• 3. Indoor GPS Alternatives and Fiducial Markers
• 4. Map Merging and Multi-Floor Handling
• Custom Robot Integration
• 1. Building URDF for a Custom AMR
• 2. Joint States and Sensor Transforms
• 3. Deploying Localization Stack on the Custom Robot Model
• ROS Navigation Stack
• 1. Costmaps: Global Vs Local
• 2. Dynamic Reconfiguration and Planner Selection
• 3. Navigation2 (Nav2) Configuration for ROS 2
• 4. Obstacle Avoidance with Sensor Inputs
• Path Planning Algorithms
• 1. Dijkstra, A*, RRT, and D* Lite Overview
• 2. Global Planner Tuning and Costmap Inflation
• 3. Navigation2 Plugins and Recovery Behaviors
• Trajectory Planning & Control
• 1. Velocity Command Generation (Cmd_Vel)
• 2. PID and Pure Pursuit Controllers
• 3. Timed Elastic Band (TEB) Local Planner
• 4. Adaptive Control in Dynamic Environments
• Testing in Simulation
• 1. Navigation Benchmarking in Gazebo
• 2. Debugging Localization, TF and Motion Anomalies
• 3. Multi-Robot Simulation Setup Basics (ROS Namespaces)
• Fleet Coordination & Task Allocation
• 1. ROS Multi-Robot Systems
• 2. Namespacing and Topic Remapping
• 3. Coordination Strategies: Central Vs Decentralized
• 4. Overview of Mission Planning and Fleet Managers
• Middleware & Industrial Communication
• 1. MQTT & OPC UA for Robot Data Exchange
• 2. Publishing Telemetry Data to Unified Namespace (UNS)
• 3. Node-RED for Real-Time Dashboarding
• 4. CouchDB or InfluxDB for Logging Robot Telemetry
• Interfacing with WMS & SCADA
• 1. JSON-SCADA Integration Concepts
• 2. Sample ROS Bridge to SCADA via REST/MQTT
• 3. Assigning Warehouse Tasks to Robots from WMS
• ROS on Edge Devices
• 1. ROS 2 Deployment on Jetson Nano/Raspberry Pi
• 2. Real-Time Tuning, ROS 2 DDS Configuration
• 3. Ethernet Vs Wi-Fi Latency Tests
• OpenCV & Image Processing in ROS
• 1. Object Detection, Edge Detection, Contours
• 2. QR/Barcode Reading for Location Anchoring
• 3. Real-Time Video Streaming and Overlays in ROS
• Object Detection using YOLO/SSD
• 1. ROS Integration with Pretrained YOLO Models
• 2. ROS Image_Transport and Compressed Topics
• 3. Detecting Pallet Types, Humans or Floor Markers
• Fiducial Navigation & Visual SLAM
• 1. ArUco and AprilTag-Based Navigation
• 2. ORB-SLAM / RTAB-Map Basics In ROS 2
• 3. Visual Odometry and Loop Closure
• Safety & Human-Robot Interaction
• 1. Virtual Bumpers and Proximity Alerts
• 2. ROS Integration with Ultrasonic/IR Sensors
• 3. Emergency Stop Protocols and Safety Architecture