In swarm robotics multiple robots collectively solve problems by forming advantageous
structures and behaviors similar to the ones observed in natural systems, such as swarms of …

Embodied intelligence (intelligence that requires and leverages a physical body) is a well-
known paradigm in soft robotics, but its mathematical description and consequent …

Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the
human condition in ways that are not yet well understood. Negative unintended …

Most soft robots are pneumatically actuated and fabricated by molding and assembling
processes that typically require many manual operations and limit complexity. Furthermore …

Much of recent machine learning has focused on deep learning, in which neural network
weights are trained through variants of stochastic gradient descent. An alternative approach …

The intertwined processes of learning and evolution in complex environmental niches have
resulted in a remarkable diversity of morphological forms. Moreover, many aspects of animal …

Inspired by natural muscle, a key challenge in soft robotics is to develop self-contained
electrically driven soft actuators with high strain density. Various characteristics of existing …

Living systems are more robust, diverse, complex, and supportive of human life than any
technology yet created. However, our ability to create novel lifeforms is currently limited to …

Many fields use search algorithms, which automatically explore a search space to find high-
performing solutions: chemists search through the space of molecules to discover new …

Many organisms, including various species of spiders and caterpillars, change their shape
to switch gaits and adapt to different environments. Recent technological advances, ranging …