RH lectures: Foundation Models × Brain Signals
Robo House: Foundation Models, Brain Signals & Real-World Deployments
Two speakers. Two short technical talks. Then open brainstorming on real deployments — and plov.
Speakers
Andrew Lyubovsky — Founder of the BluPe Project (evals for robots). Robo House member, Carnegie Mellon alumnus, and robotics engineer.
Philipp Wicke — PhD in AI, Zander Labs.
Praneel Bhatia — Mechatronics and Robotics, Zander Labs.
Talks
5:00 PM — Understanding How Well Foundation Models Work and Where They Fail: The Dream-1 Case Study
Andrew Lyubovsky
Capabilities and limitations of foundation models through
the Dream-1 example - plus a live demonstration of current eval benchmarks.
5:20 PM — Using Neurocognitive Feedback for Adaptive Physical AI Systems
Philipp Wicke & Praneel Bhatia, Zander Labs
How can EEG signals provide additional context for vision-language models? The intersection of brain signals, multimodal AI, and reasoning — and what it could mean for more capable physical AI systems.
After the talks: Real deployments, open brainstorming
We’ll bring the discussion back to the challenges we’re working on at Robo House: current deployments, practical bottlenecks, and opportunities for collaboration. Operators, researchers, and deep-tech investors are invited to share perspectives, challenge ideas, and brainstorm together.
This isn’t a conference or a pitch night. It’s an evening to exchange ideas, challenge assumptions, and discuss what’s actually working when robotics meets the physical world.
And, of course, plov.
We’ll finish with delicious traditional plov.
See you at Robo House.