Our Approach

A gymnastics coach does not teach by commanding joint angles. Similarly, embodied intelligence requires understanding the fundamental principles of physical learning rather than exhaustive programming of specific motions.

Research at EMBER follows a principled direction, prioritizing methods that develop deep understanding over demonstrations that fail to scale. We are particularly interested in studying the sim-to-real gap as a robustness metric when we deploy our models zero-shot on hardware.