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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Matching moments
11:05 MIN
Real-world robot deployments and their challenges
Robots 2.0: When artificial intelligence meets steel
25:57 MIN
Real-world examples of simulation-trained robots
Enhancing AI-based Robotics with Simulation Workflows
1:33:45 MIN
Building a career as an RPA technologist
How to achieve web automation with UiPath
14:08 MIN
The modern toolset for robotics development
Robots 2.0: When artificial intelligence meets steel
08:58 MIN
Why robotic capabilities are advancing so rapidly
Robots 2.0: When artificial intelligence meets steel
05:32 MIN
A look at today's cutting-edge humanoid robots
Robots 2.0: When artificial intelligence meets steel
29:07 MIN
The multidisciplinary future of automated driving development
Automated Driving - Why is it so hard to introduce
27:21 MIN
Final thoughts and an invitation to collaborate
Robots 2.0: When artificial intelligence meets steel
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From learning to earning
Jobs that call for the skills explored in this talk.



Robotersimulation
Sakal Robo System GmbH

Robotics Integration & Autopilot Interface Engineer (ROS 2 / PX4 / MAVLink)
autonomous-teaming
Remote
C++
GIT
Routing
Continuous Integration



Robotic Process Automation Expert
PALFINGER AG
Python
Automation Anywhere
Scripting (Bash/Python/Go/Ruby)


Working Student (HiWi): Robotics Full-Stack for Mobile Manipulators (Husky Platform)
TU München
C++
Python
Computer Vision
Machine Learning