Embedded AI for Robotics (Edge ML on Raspberry Pi)
with Vctroid
Let’s Start with AI-Powered Edge Robotics
Embedded AI for Robotics
This focused micro course teaches students to train, optimize, and deploy AI models for real-time robot perception on resource-constrained hardware like Raspberry Pi.
Key Learning Outcomes:
Students will learn to:
-
- Train vision and time-series models for robotics tasks
- Optimize models with quantization and pruning
- Run real-time inference using TensorFlow Lite
- Drive robot behaviors using AI perception
- Benchmark latency, accuracy, and power use
- Connect AI perception with ROS2 workflows
Platforms & Tools
- Edge Impulse data-to-model pipeline
- TensorFlow Lite optimized inference
- Raspberry Pi edge deployment
- OpenCV camera processing
Topics Covered
- Data collection, labeling, and training workflow
- Model conversion and interpreter setup
- Object detection, pose estimation, segmentation (concepts)
- Time-series AI: anomaly and gesture detection
- Quantization, pruning, and model size reduction
- Camera stack setup and multithreaded inference
Hands-On Projects (8+ Builds)
- Object Detection Robot with servo tracking
- Gesture-Controlled Robot Arm
- Autonomous Trash Sorter (classification)
- Emotion Recognition Assistant responses
- Predictive Maintenance Rover (vibration anomaly)
- Voice Command Robot with wake-word
- Human-Following Path Prediction demo
- Quality Inspection Bot for surface defects
Course Details
- Age Group: 16+ years
- Duration: 2 Months | 4 classes/week
- Mode: Model training + edge deployment
- Age Group: 15–18 years
- Duration: 1.5 months
- Mode: Web-based IoT development using Python + Flask + Raspberry Pi + HTML/CSS
Outcome
Students build AI-powered robots capable of real-time perception entirely on edge hardware, gaining practical embedded AI skills for advanced robotics and autonomous systems.
Key Highlights
Project Based Learning
Real World Project
Comprehensive Curriculum
Expert Instructors
6 Steps to your Course Path
Building Intelligent Robots with Embedded AI
At Vctroid, students explore the future of robotics by combining Artificial Intelligence with real-time embedded systems. This hands-on Embedded AI for Robotics course teaches learners how to train and deploy AI models on Raspberry Pi for intelligent robot perception and decision-making. Through practical projects using TensorFlow Lite, OpenCV, and Edge ML tools, students build smart robots capable of object detection, gesture recognition, voice interaction, and autonomous behavior. With industry-focused training and real-world AI robotics applications, learners gain future-ready skills in edge computing, robotics automation, and intelligent systems engineering.
