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Edge AI for Robotics
Smarter Machines. Faster Decisions. Real-Time Intelligence at the Edge.
Autonomous machines must make decisions in milliseconds. Traditional cloud-based AI introduces latency, connectivity dependency, and security risks — making it unsuitable for real-time robotic systems.
In this exclusive technical webinar by PHYTEC Embedded Solutions, discover how Edge AI is transforming robotics by enabling intelligent, low-latency, and autonomous systems that process data directly on the device. Learn how modern embedded platforms combine AI acceleration, real-time control, and robotics middleware to build next-generation robotic systems for industrial automation, research, and advanced robotics development.
✔ On-Device AI Processing
✔ Ultra-Low Latency <5ms
✔ ROS2 + NPU Acceleration
Why Edge AI for Robotics?
Edge AI is redefining robotics by enabling machines to perceive, decide, and act locally without cloud dependency. In this webinar, our experts will demonstrate how Edge AI architectures enable ultra-fast inference, deterministic control, and secure operation for intelligent robots.
🔹 Understanding the limitations of cloud-based AI in robotics
⚡ Advantages of Edge AI for real-time autonomous systems
🏗️ Architecture of modern Edge AI robotics platforms
🦾 Live demonstration of an AI-powered robotic arm
👁️ Integrating AI vision with robotic control systems
🤖 Building ROS2-based robotic applications on embedded platforms
What You Will Learn
By attending this webinar, participants will gain practical insights into:
Edge AI Fundamentals
• Why robotics requires AI at the edge
• Differences between Cloud AI vs Edge AI
• Real-time inference and deterministic control
Embedded AI Hardware
• Neural Processing Units (NPUs) for AI acceleration
• Dual-core architectures for AI and real-time control
• Industrial-grade embedded compute platforms
Robotics Software Stack
• ROS2 for autonomous robotic systems
• AI vision pipelines using TensorFlow Lite
• GStreamer-based video processing
AI Vision for Robotics
• Pose detection and object recognition
• Gesture-controlled robotics
• Vision-guided automation systems
Live Technology Demonstration
During the webinar, we will demonstrate the RoARM-M1 intelligent robotic arm, powered by Edge AI.
The robotic system processes live video from a camera, runs pose estimation models locally on the embedded NPU, and converts detected gestures into servo motor commands for real-time robotic control.
Demonstration Highlights
Gesture-based robotic control
Real-time AI vision processing
Edge AI inference using TensorFlow Lite
ROS2-based robotics architecture
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