Expertise
Decision-Making, Dialogue & AI
Explainable AI for behaviors and dialogue, from task planning to language models.
Interesting behaviors and dialogues can be achieved with classical programming, with models like Behavior Trees or State Machines. But there is a lot to gain by bringing in AI techniques:
- Language models — including small, embeddable ones — and semantic extraction.
- Task planning (e.g. PDDL) to produce more flexible behaviors and dialogues.
- Situational pattern recognition and reinforcement learning.
My PhD in Human-Robot Interaction (ISIR, Sorbonne Université) was about teaching robots new behaviors using spoken language, and I applied it to production: a PDDL-based decision system running embedded on the Pepper robot, and natural interaction driven by language models on the Mirokai robots.
I favor explainable solutions that keep you in control, and the reduction of data collection.
What I can do for you
- Bring task planning, chatbots or machine learning into your product.
- Design dialogue and interaction systems grounded in HRI research.
- Keep the AI explainable, controllable and frugal with data.
Schedule a call to discuss your project.
← All fields of expertise