Programme · 7–8 July 2027
Discuss, debate, define
Four tracks across the full physical AI stack, from the robots themselves to the chips that power them. The full agenda will be published soon.
The physical AI stack
One summit, the whole stack
Physical AI only works when every layer does. MACHINA programmes all four, so a humanoid founder, a simulation lead, a plant manager and a chip designer can hear each other.
Embodiment
The bodies physical AI runs on
Humanoids, quadrupeds, autonomous vehicles, dexterous hands and specialised robots: what they can do today, what they cost to build, and what has to change before they ship at volume.
For: Robotics founders and engineers, hardware investors, product leaders.
Topics
- 01Humanoids and general-purpose robots
- 02Quadrupeds and mobile manipulators
- 03Dexterous hands and tactile sensing
- 04Autonomous vehicles and specialised robots
2026 speakers working in this area
Bernt Børnich (1X), Jeff Cardenas (Apptronik), Jonathan Hurst (Agility Robotics), Péter Fankhauser (ANYbotics), Marc Raibert (RAI Institute).
See all speakersTraining
How machines learn physical skill
Simulation, synthetic data, robot foundation models and reinforcement learning: how robots learn to act, and how that learning carries from simulation to the real world.
For: AI researchers, ML and robotics engineers, data and simulation teams, AI investors.
Topics
- 01Simulation and digital twins
- 02Synthetic data at scale
- 03Robot foundation models: vision, language, action
- 04Reinforcement learning and sim-to-real transfer
2026 speakers working in this area
Jim Fan (NVIDIA), Carolina Parada (Google DeepMind), Abhinav Gupta (Skild AI), Thomas Wolf (Hugging Face).
See all speakersDeployment
Physical AI at work
Where robots earn their keep: manufacturing, warehouses, logistics, energy, infrastructure and space. The economics, the integration work and what operators learned from the first deployments.
For: COOs, plant and operations leaders, logistics and energy companies, integrators, enterprise buyers.
Topics
- 01Manufacturing and factory automation
- 02Warehousing and logistics
- 03Energy, infrastructure and inspection
- 04Space and extreme environments
2026 speakers working in this area
Andrew Lonsberry (Path Robotics), Ali Agha (FieldAI), Yves Pétin (Fraikin).
See all speakersInfrastructure
The stack underneath it all
Semiconductors, compute, cloud infrastructure and hardware manufacturing: the supply chain physical AI depends on, and where its bottlenecks are.
For: Semiconductor and cloud companies, hardware manufacturers, infrastructure investors, CTOs.
Topics
- 01Semiconductors and edge AI chips
- 02Compute for training and inference
- 03Cloud infrastructure for robotics
- 04Hardware manufacturing and supply chains
2026 speakers working in this area
John Kourentis (Arm), Evan Helda (Nebius), Ilya Tolchinsky (Synopsys), Sviat Dulianinov (Bright Machines).
See all speakersBefore the agenda lands
To be announced. Sign up below and we’ll send it to you first.
Get the agenda firstEnglish.
The pass includes a post-event recap deck and session highlights.
Yes. If tracks run in parallel on different stages, your pass gives access to all of them.