What is the role of dynamics and causality for Deep Learning that not only understands but also interfaces with the physical world?

This question fascinates me and drives my research on Causal Computer Vision. The vision is Embodied General Intelligence and eventually, a novel paradigm of Cyberphysical AI.

With Cyberphysical AI I want to address the fundamental chasm between information and matter, that is the observation that machines in the digital world and machines in the physical world work fantastically in isolation, but cannot easily be combined. Bridging the digital and physical world will be key in not only Robot Learning but also automating Biomedical, Health, IoT, Manufacting, Sciences, and so on with AI.

My research is supported by an ERC StG and NWO VIDI, and academic-industry ICAI labs: QUVA with Qualcomm, and POP-AART with Elekta and NKI.