Build A Real
Autonomous
Mobile Robot
Master the ROS2 framework, sensor processing, LiDAR integration, and localization stacks on physical, industrial-grade robot hardware.
Dr. P. V. Sabique
PhD in Robotics
12+ years in autonomous systems & ROS
Trained 10,000+ engineers and students
What You Will Build
Complete hardware integration and deployment blueprints executed map-side.
Complete structured ROS2 environment configurations built from scratch.
Simulated physical mobile robots natively operating inside Gazebo spaces.
Sensor pipelines configured through 2D planar LiDAR arrays and cameras.
Simultaneous Mapping nodes paired perfectly with default navigation stacks.
End-to-end processing testing conducted over real differential AMR robotics chassis.
Syllabus Breakdown
Foundations
- Introduction to ROS2
- Workspace & Python
- RViz2 & TF2 Visuals
Modeling & Sim
- URDF Robot Model
- Gazebo Simulation
- Motion Control
Sensors & AI
- LiDAR Integration
- Camera & OpenCV
- Docker Integration
Embedded ROS
- Real Robot Setup
- ESP32 Firmware
- Environment Prep
Navigation
- Teleop & Mapping
- Autonomous Stack
- Final Testing
Who Is This Program For?
Engineered pathways built explicitly for core technology developers
Students & Beginners
Perfect for UG/PG students from any engineering branch.
Engineers & Developers
Shift directly into AI, robotics & real autonomous architectures.
Researchers & Academics
Ideal deployment platforms for MTech/PhD thesis laboratory configurations.
Makers & Innovators
Build custom real-world production setups and robot ecosystems.
Institutional Programs Conducted Live via Real-Time Implementation
Three-Tier Skill Blueprint
Structured program target matrix matching engineering field demands.
A. Technical Skills
Python
Docker
ROS2 Basics
RViz2
URDF
Gazebo
LiDAR
OpenCV
Kinematics
B. Soft Skills
Problem Solving
Systems
Debugging
Teamwork
Communication
Docs
Presentation
Confidence
Leadership
C. Career Skills
Portfolio
Interviews
Industry
Research
Academics
Internship
Resume
Career Path
Networking
Join over 8,000 successful graduates from PixelBotix programs.
"Dr. Sabique's teaching made modular multi-node ROS2 processing incredibly simple."
Arun
VIT University
"The single best hands-on deployment track for actual physical mobile configuration fields."
Preethi
Anna University
"The mapping algorithms training and point-cloud filtering tracks were thoroughly phenomenal."
Priya
SRM Institute
"PixelBotix's laboratory setup and real robot access models are genuinely unmatched anywhere."
Tarun
Sathyabama University
Lock Your Seats Today
Only 20 total seats are open for this physical cohort to guarantee deep personal project mentorship and individual hardware access.
Early Bird Tier Pricing applies automatically