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

#1about 4 minutes

Robots are moving beyond factories into human spaces

The trend of "robots in the wild" signifies a new level of autonomy where robots operate in human environments with minimal supervision.

#2about 2 minutes

Using robots as mobile sensors for data acquisition

Robotic reality capture is the first enterprise-ready application, using autonomous robots to perform inspections in dangerous or remote locations.

#3about 2 minutes

Automating container bridge inspections with autonomous drones

A case study demonstrates how autonomous drones significantly reduce inspection time and costs for large container bridges in a harbor.

#4about 2 minutes

Using a legged robot for thermal data collection

An energy company uses a legged robot with a thermal camera to autonomously collect equipment performance data in a geothermal plant.

#5about 4 minutes

Visualizing robot-captured data in a 3D digital twin

A demonstration shows how data from robots, like thermal images and 360-degree views, is integrated and visualized within a 3D model of an industrial plant.

#6about 2 minutes

The business case for scaled robotic adoption

Beyond time savings, the business case for robotics includes richer data for maintenance, improved job attractiveness, and enhanced safety.

#7about 3 minutes

Integrating robots into enterprise systems and architecture

A typical robotics system architecture involves connecting the robot platform to a digital twin, IoT sensors, and core enterprise systems like SAP.

#8about 4 minutes

Defining the full-stack enterprise robotics engineer

A full-stack roboticist requires a broad understanding of skills from human-robot interaction and embedded systems to cloud infrastructure and business strategy.

#9about 3 minutes

Exploring the modern robotics technology stack

The robotics technology stack combines open-source tools like ROS with cloud services from AWS and Azure for development, simulation, and fleet management.

#10about 4 minutes

Q&A on transfer learning, ROS, and client adoption

The discussion covers how robots can learn from each other via transfer learning, the growing commercial importance of ROS, and how automation addresses labor shortages.

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Junior Python Backend / GenAI Support Intern