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PHYSICAL AI, ROBOTICS & AUTONOMY

From Simulation to Intelligent Real-World Systems
Date: Wednesday, June 10th, 2026
Venue: Nancy Rothwell Building, Engineering Building B, Room 2B.020, The University of Manchester      

 

 

Your Research Project Idea

Physical AI represents the next phase of AI evolution—shifting the focus from what intelligent systems can say to what they can actually do. What was once viewed primarily as a cost-saving technology has now become an operational imperative, as organizations increasingly rely on AI, robotics, and autonomous systems to solve complex real-world challenges. The University of Manchester conducts research to advance the future of Robotics, AI, and Autonomy through world-class engineering research, interdisciplinary collaboration, and real-world deployment.

On Wednesday, June 10, from 9:00 a.m. to 12:00 p.m. as NVIDIA and Quanser experts shared how modern simulation and control toolchains enable researchers to design, simulate, and deploy Physical AI systems. This talk discovered how perception, learning, digital twins, and closed-loop control are being combined to create intelligent machines capable of adapting to unstructured environments and operating safely in the real world.

This event is suitable for the University of Manchester academics and research staff only.

Event Details

Date: Wednesday, June 10
Time: 9:00 AM – 12:00 PM (Coffee & networking from 8:30 AM)
Venue: Nancy Rothwell Building, Engineering Building B, Room 2B.020, The University of Manchester