Robots Among Us: Advances in AI for Everyday Androids
Robotics is transitioning from factory floors to our everyday lives, particularly through humanoid robots. This session features a live demonstration of our Unitree G1 android, exploring how advances in AI, increasing data availability, and edge computing hardware are transforming science fiction into reality.
Target Audience: Everyone
Prerequisites:Interest in Robotics
Level: Introductory
Extended Abstract:
We begin with an overview of robotics, then examine robot training and demonstrate how integrated hardware and software bridge the gap between simulation and real-world deployment. Finally, we reveal how Vision-Language-Action models facilitate meaningful human-robot interaction and enable future applications.
Outline:
- History of Robotics
- How to build a robot
- How to train a robot
- Simulation environments
- Reinforcement learning
- Vision Language Action Models
Managing Partner
In his role as a Partner for TNG Technology Consulting in Munich, Thomas Endres works as an IT consultant. Besides his normal work for the company and the customers he is creating various prototypes - like a telepresence robotics system with which you can see reality through the eyes of a robot, or an Augmented Reality AI that shows the world from the perspective of an artist. He is working on various applications in the fields of AR/VR, AI and gesture control, putting them to use e.g. in autonomous or gesture controlled drones. But he is also involved in other Open Source projects written in Java, C# and all kinds of JavaScript languages.
Associate Partner
Sven Rohr is an Associate Partner at TNG Technology Consulting and supports various machine learning teams both internally and at his clients. He is currently gaining practical experience in operating TNG's GPU cluster and training his own language models.
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