DAY 2 | FREE TRACK
Robots, Autonomous Systems, and AI that Acts in the Real World
09:45 - 10:00
Chairperson’s Opening Remarks
Chairpersons welcome and opening remarks
10:00 - 10:40
Panel: The Physical AI Stack - From Edge Devices to Autonomous Action
A macro view of how physical AI systems are structured:
- Edge AI (STBs, sensors, smart cameras)
- Multimodal perception & sensor fusion
- Foundation models for robotics
- Orchestration layers
- Governance & safety
10:45 - 11:15
Presentation: Physical AI in 2026 - from pilots to scaled fleets
What is genuinely new (foundation models, simulation at scale, edge compute), and what still breaks in production.
11:20 - 11:50
Presentation: When Cities, Vehicles, and Robots Think & Act - The Unified Future of Physical AI
Cities are dynamic physical systems with humans, vehicles, sensors, and robots all interdependent. This session positions SDVs and Smart City infrastructure as Physical AI domains with shared challenges – sensing, prediction, optimization, and safe actuation.
11:50 - 12:20
Networking Break
12:20 - 12:50
Presentation: Operating at fleet scale - orchestration, routing, and continuous improvement
How large robot fleets are coordinated, monitored, and optimised using AI models, including congestion reduction, routing efficiency, and ops integration.
12:55 - 13:15
Presentation: SDVs & Physical AI
Vehicles aren’t “just cars” — they’re mobile AI platforms that perceive city infrastructure, interact with people and machines, and make real-time decisions. This session covers:
Perception stacks in mobility vs robotics
Predictive models for unstructured urban interaction
Sensor fusion between vehicles and infrastructure
Safety, simulation, and regulation parallels with robots.
13:15 - 14:15
Lunch Break
14:15 - 14:55
Panel: Robots, Autonomous Systems & the New Embodied Intelligence Stack
Join us as we take a deep dive into robotics – but as part of the bigger ecosystem.
- Robot foundation models
- Vision-language-action systems
- Generalisation challenges
- Build vs buy decisions
- Where humanoids fit (and don’t)
15:00 - 15:20
Presentation: The Economics of Physical AI – Workforce, ROI & Transformation
- Labour displacement vs augmentation
- Tele-ops & human-in-the-loop models
- Measuring ROI properly
- Enterprise adoption timelines
- What becomes autonomous first?
15:25 - 15:45
Presentation: Physical AI in the enterprise - ROI, deployment patterns, and what to measure
Physical AI in the enterprise: ROI, deployment patterns, and what to measure.