Advanced projects and real-world learning with modular robotics systems.
Why ZAS Robotics for Colleges?
Get access to high-quality dedicated robotics kits, AI modules, and research-grade project support tailored for university students.
Focus for University Students
ZAS Robotics empowers university students to tackle real-world engineering challenges through advanced robotics kits and AI-driven modules. Our modular systems provide hands-on learning opportunities in autonomous navigation, sensor integration, machine learning, and computer vision, enabling students to develop both technical expertise and innovation-ready soft skills.
After mastering foundational concepts in microcontrollers, sensors, motion, and communication technologies, students progress to advanced topics such as sensor fusion, robot telemetry, GPS systems, accelerometers, digital compasses, and IMU calibration. They also explore algorithmic techniques including Kalman and Extended Kalman Filters, inverse kinematics, and graph-based path planning — applying these methods to complex robotics and AI challenges.
Advanced focus areas include:
- Sensor fusion and robot telemetry
- GPS integration, accelerometers, and IMU calibration
- Kalman & Extended Kalman filtering
- Inverse kinematics and robotic path planning
- Graph-based algorithms for navigation
- AI, computer vision, and machine learning integration
From Foundations to Advanced Robotics
The diagram illustrates the two essential components of a robotics system: navigation and robotic arm. Each component is built upon key foundational blocks that students explore as part of the curriculum.
- Navigation: autonomous movement, obstacle detection, path planning
- Robotic Arm: precision control, object manipulation, motor coordination
- Foundational Blocks: microcontrollers, sensors, communication, control systems
Accelerate Learning with ZAS Robotic Systems
The diagram illustrates a fast-tracked robotics learning journey. Students begin by mastering core foundations such as microcontrollers, sensors, motion, and communications. With this solid base, they seamlessly transition to advanced domains like ROS2, Artificial Intelligence, Deep Learning, and Computer Vision. ZAS Robotics products are uniquely designed to accelerate this journey through integrated learning pathways and dedicated navigation controllers.
- Build foundations: Sensors, Motion, Communications, Microcontrollers
- Advance into: AI, ROS2, Computer Vision, Deep Learning
- Fast-track success with ZAS’s dedicated robotics kits and training structure
Hardware Stack for Research and Innovation
The diagram showcases how ZAS Robotics offers dedicated robot car chassis and modular navigation controller boards compatible with popular platforms like ESP32, Arduino, Raspberry Pi, and NVIDIA Jetson. These components enable scalable and flexible hardware development for advanced student projects.
- Dedicated robot chassis for hands-on learning
- Modular controller boards for easy integration
- Supports major platforms like ESP32, Arduino, Raspberry Pi, NVIDIA
- Ideal for AI, computer vision, and autonomous robotics
Robotic Car Progression – From Basics to AI
This diagram showcases the progression of ZAS Robotics' robotic cars—from basic Arduino sensor-based models to advanced autonomous vehicles using LIDAR, Cameras, and IMU sensors.
These cars are designed for both learning and research, enabling students to scale their robotics understanding toward Reinforcement Learning, Deep Learning, and real-world autonomous navigation challenges.
- Beginner-friendly Arduino-based robot cars
- Intermediate models using ESP32, Raspberry Pi
- Advanced cars powered by NVIDIA Jetson
- Supports LIDAR, Cameras, IMU, GPS for navigation
- Ideal for AI, computer vision, and RL/DL projects