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World Congress 2025 • Aug 20, 2025 • Session details

Robots 2.0: When artificial intelligence meets steel

Thomas Tomow

Embodied AI is moving from simulation to reality. Master ROS2, sensor fusion, and hardware abstraction to build the next generation of autonomous robots.

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#1 about 1 min

AI transcending software to enter the physical world

Artificial intelligence is moving beyond screen interfaces to interact directly with physical environments through robotics.

#2 about 3 min

Historical parallels in technological paradigm shifts

Past innovations like electricity and automobiles demonstrate how skeptical audiences eventually adapt to transformative technological changes.

#3 about 1 min

Transitioning artificial intelligence into physical manifestations

Large language models are evolving from digital chatbots into physical entities that interact with complex real-world environments.

#4 about 2 min

The evolution of artificial helpers and industrial machines

The pursuit of robotic labor spans from visionary historical concepts to highly efficient modern logistical warehouses.

#5 about 4 min

Capabilities of state-of-the-art modern humanoid robots

Leading platforms from companies like Tesla and Boston Dynamics showcase unprecedented robotic dexterity and environmental interaction.

#6 about 2 min

Core drivers fueling modern robotic capabilities

Exponential advances in language models, accelerated hardware chips, and extensive simulation data converge to power cognitive machines.

#7 about 1 min

Processing real-world environments with vision language models

Vision language models act as central intelligence hubs by fusing visual input with semantic understanding for autonomous decisions.

#8 about 2 min

Automating complex industry operations with embodied intelligence

Autonomous robots execute precision tasks across automotive manufacturing, food safety logistics, and sensitive hospital environments.

#9 about 2 min

Navigating hardware constraints and edge computing challenges

Engineering interactive robots requires overcoming significant battery power limits and latency constraints to maintain operational safety.

#10 about 1 min

Leveraging open source frameworks and environmental simulation

Developers construct rapid autonomous systems utilizing specialized operating layers alongside localized small language models and virtual testing environments.

#11 about 3 min

Bridging foundational coding with autonomous robotic navigation

Developing autonomous robotic behavior forces engineers to account for numerous edge cases inherent in uncontrollable physical spaces.

#12 about 4 min

Structuring mechanical commands through software abstraction layers

Standardized operating sets translate high-level software instructions into granular mechanical actions for precise physical execution.

#13 about 2 min

Mapping physical environments via extensive sensor fusion

Synthesizing two-dimensional camera feeds with point cloud data enables machines to construct accurate three-dimensional operational maps.

#14 about 2 min

Processing real-time spatial data for structural navigation

Live ingestion of integrated camera and depth statistics provides immediate feedback loops for accurate trajectory planning.

#15 about 5 min

Executing selective object identification through edge processing

Coupling visual streams with localized language models enables complex filtration commands despite unstable hardware dependencies.

Matching moments

1:20 min

Shifting focus from large language models to physical AI

Sergio Perez Sergio Perez · World Congress 2026 Europe

3:46 min

Transitioning from rigid machines to autonomous AI robots

Teresa Conceicao · World Congress 2022

2:55 min

Moving from AI software buzzwords to building actual robots

Iulia Feroli Iulia Feroli · World Congress 2026 Europe

2:22 min

Introduction to physical AI and the physical world

Moe Sani Moe Sani · World Congress 2026 Europe

2:08 min

Progressing from standard robotics to cognitive learning systems

Clemens Schwaiger · LIVE

3:55 min

Technical catalysts driving real-world artificial intelligence

Clemens Wasner Clemens Wasner +3 · World Congress 2026 Europe

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