World Congress 2025 Aug 20, 2025 Session details

From Code to Motion: Building an Autonomous Hat-Hunting Robot with Kubernetes & ML

Daniel Brintzinger

To solve the nightmare of disconnected edge deployments, engineers built an autonomous, hat-hunting robot. Discover how standard Kubernetes and GitOps push machine learning models from code to physical motion.

Pause
Mute Enter Fullscreen
#1 about 3 min

Challenges of application edge deployment and containers

How DevOps approaches and containers enable application delivery to disconnected edge devices.

#2 about 7 min

Hardware constraints and technology stack for the robot

The physical components and software tools used to build the autonomous robot.

#3 about 8 min

Training an object recognition model with OpenShift AI

Using Jupyter Lab and a machine learning pipeline to train an object detection model.

#4 about 4 min

Deploying and testing the AI inference service

How to expose a trained model as a secure REST API for application consumption.

#5 about 8 min

Building the robot control application using Eclipse Che

Creating a Python application within a cloud-based development environment to interact with the AI service.

#6 about 3 min

Live demonstration of the autonomous hat-hunting robot

Executing the control application to observe the robot scanning for and navigating toward the target.

#7 about 2 min

Continuous deployment to edge devices using Argo CD

Managing the physical robot as a registered Kubernetes cluster to automate configuration and code rollouts.

Matching moments

1:54 min

Speaker background and open source Kubernetes edge computing projects

Gaurav Gahlot Gaurav Gahlot · WWC Europe 2026

2:35 min

Deploying AI-driven foreign object detection in manufacturing environments

Dean Oren Dean Oren +1 · WWC 2025

1:44 min

Navigating hardware constraints and edge computing challenges

Thomas Tomow Thomas Tomow · WWC 2025

3:17 min

Deploying parallel models on custom hardware with Edge Impulse

Moe Sani Moe Sani · WWC Europe 2026

1:09 min

Deploying algorithms and AI models to edge production

Irina Terekhova Irina Terekhova · WWC Europe 2026

1:50 min

Overview of the Edge AI ecosystem and tech stack

Maxim Salnikov Maxim Salnikov · WWC 2025

Upcoming sessions on this topic

Open session

World Congress 2026 North America

Trust, But Verify: Continuous GPU Validation at Scale

Kyle Bell

VP of AI @ TensorWave

Kyle Bell
Open session

World Congress 2026 North America

From Software Agents to Physical Devices: Inside the Agentic Hardware Stack

Michael Yuan, Vivian Hu

Michael Yuan
Vivian Hu
Open session

World Congress 2026 North America

Run your agents in Kubernetes: Build once, deploy anywhere. But really?

Michal Salanci

Senior Systems Engineer at ESET Cybersecurity

Michal Salanci
Open session

World Congress 2026 North America

rm -rf: Horror Stories From Unsandboxed AI Agents (and How Docker Fixes This)

Rishab Kumar

Staff Developer Evangelist @ Twilio

Rishab Kumar
Open session

World Congress 2026 North America

You Can’t Re-Run Sunlight: Designing ML Data Architectures for Physical AI

An Phan

Senior Data Infrastructure Engineer @ Hippo Harvest

An Phan
Open session

World Congress 2026 North America

Engineering the Pivot: How Creative Strategy Solves the Hard Problems of AI Accuracy and Scale

Shruti Tiwari

AI/ML product manager, Dell

Shruti Tiwari