Physical AI Validation for Humanoid Robots
Physical AI validation is a core challenge at the Advanced Humanoid Forum 2027. This track addresses sim-to-real transfer, real-time control systems, perception architectures, and validation methodologies for humanoid robots.
Part of the humanoid robotics conference agenda, Munich · Jan 20-21, 2027
Physical AI Validation Methodology
Validating AI systems for physical robots requires a multi-layered approach — from simulation to real-world deployment.
Simulation Validation
- Physics engine calibration
- Sensor simulation fidelity
- Scenario coverage analysis
- Domain randomization
Sim-to-Real Transfer
- Domain adaptation techniques
- Reality gap analysis
- Transfer learning methods
- Performance degradation metrics
Real-World Testing
- Hardware-in-the-loop testing
- Safety validation protocols
- Performance benchmarking
- Deployment monitoring
Experts on Physical AI Validation
Leading researchers and practitioners in physical AI, simulation, and validation for humanoid robotics.
Dr. Lukasz Ostrowski
SAP
Global Head Embodied AI at SAP. Expert in enterprise AI infrastructure, embodied intelligence, and large-scale AI deployment for industrial applications.
Werner Kraus
Fraunhofer
Senior Scientist at Fraunhofer with focus on applied humanoid research, physical AI, and simulation-to-real transfer methodologies.
Tobias Herwig
Track Moderator
Industrial automation and AI deployment expert. Moderates the Physical AI Validation track at the Advanced Humanoid Forum 2027.
Organizations Driving Physical AI Validation
Part of the Advanced Humanoid Forum Agenda
This is one of six H2 discussion topics at the humanoid robotics event 2027.