World Congress 2022 • Jun 15, 2022

Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!

Falk-Moritz Schaefer

As enterprise robots escape the factory floor, a new engineering role is emerging. Discover how full-stack developers merge embedded C++, ROS, and cloud architecture to command autonomous fleets.

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#1 about 5 min

The shift toward autonomous robots in human spaces

How robots are escaping industrial cages to operate autonomously in shared human environments.

#2 about 3 min

Mobile sensors for autonomous enterprise inspections

Using robots purely as mobile sensors allows continuous data collection without manipulating physical objects.

#3 about 2 min

Drone inspection for container bridges in ports

Automating visual inspections of port infrastructure reduces equipment downtime and human risk.

#4 about 3 min

Thermal data acquisition with quadruped robots

Sending a quadruped robot into hazardous areas captures critical geothermal performance data during operations.

#5 about 5 min

Building digital twin platforms for robotic data

Ingesting visual and telemetry data into 3D environments enables remote monitoring and safety verification.

#6 about 2 min

Calculating business value for scaled robot adoption

Automating routine checklist walks yields clear ROI through secondary maintenance insights and better job quality.

#7 about 3 min

Enterprise architectures for managing robotic fleets

Integrating robotic platforms with existing asset management systems automates dispatching and maintenance tracking.

#8 about 2 min

Core skills required for robust robotic systems

Developing these machines requires specialized expertise across hardware, embedded architecture, and digital signal processing.

#9 about 3 min

The emerging role of full-stack enterprise robotics engineers

Modern robotics relies on engineers who understand the interconnected dependencies between hardware, AI, and enterprise IT.

#10 about 3 min

Example technology stack for robotics software development

Integrating tools like ROS and cloud telemetry services facilitates complex distributed applications.

#11 about 4 min

Transfer learning and the importance of open source

Federated fleets accelerate model training via transfer learning while open-source tooling reduces implementation complexity.

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