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.
Join us on Wednesday, June 10, from 9:00 a.m. to 12:00 p.m. as NVIDIA and Quanser experts share how modern simulation and control toolchains enable researchers to design, simulate, and deploy Physical AI systems. Discover 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
Agenda
| 8:30 – 9:00 | Coffee & Networking | |
| 9:00 – 9:20 | Research Vision for Physical AI, Robotics & Autonomy, Angelo Cangelosi, Professor of Machine Learning and Robotics and co-director of the Manchester Centre for Robotics and AI | |
| 9:20 – 10:20 | NVIDIA Physical AI Platforms: Isaac Sim and Isaac Lab, Raffaello Bonghi, Technical Marketing Engineer – AI & Robotics from NVIDIA | |
| 10:20 – 10:30 | Break | |
| 10:30 – 11:30 | Integrating Quanser Digital Twins & Hardware with NVIDIA Isaac Sim for Research Applications, Paul Karam, Chief Robotics Officer at Quanser | |
| 11:30 – 12:00 | Discussion: Research Engagements & Proof-of-Concept Opportunities. |