  A new generation of increasingly autonomous and self-learning embodied
systems is about to be developed. When deploying embodied systems into a
real-life context we face various engineering challenges, as it is crucial to
coordinate the behavior of embodied systems in a beneficial manner, ensure
their compatibility with our human-centered social values, and design
verifiably safe and reliable human-machine interaction. We are arguing that
traditional systems engineering is coming to a climacteric from embedded to
embodied systems, and with assuring the trustworthiness of dynamic federations
of situationally aware, intent-driven, explorative, ever-evolving, largely
non-predictable, and increasingly autonomous embodied systems in uncertain,
complex, and unpredictable real-world contexts. We are therefore identifying a
number of urgent systems challenges for trustworthy embodied systems, including
robust and human-centric AI, cognitive architectures, uncertainty
quantification, trustworthy self-integration, and continual analysis and
assurance.
