A Structured Approach to Perception and Interactive Embodiment for Robotic Intelligence

SAPIENT aims to upgrade robotic intelligence by developing robots that learn through interaction with their environment. Using a state-of-the-art humanoid robot and advanced simulations, we will explore how robots can adapt to new tasks, manipulate objects skillfully, and interact naturally with humans. This research could lead to versatile, intelligent robots for all aspects of our daily lives.

SAPIENT is a project that wants to make robots smarter by letting them learn from experience, just like humans do. Instead of programming every single action, they're using a human-shaped robot that can figure things out by trying different actions and seeing what works.

Think of it like teaching a child - they learn by playing with toys, watching others, and practicing new skills. The robot would learn in a similar way, both in computer simulations with real-time physics interactions and in the real world. The goal is to create robots that can handle different situations and work alongside people more naturally.

For example, rather than being programmed for just one specific task (like only being able to pick up red boxes), these robots would learn to handle various objects and adapt to new situations on their own.