The proposed project introduces and investigates a new class of environmentally responsive soft robotic materials with programmed mechanical properties based on elastomeric cellular structures. The objective is to establish robust and computationally efficient methods to capture their highly non-linear response, to synthesize soft materials that generate large deformations in response to external stimuli, to identify cellular architectures that amplify and direct the response of the active materials, to develop 3D printing strategies that enables fabrication of computationally identified material designs, and to solve the inverse problem of identifying realizable layouts that form soft robotic matter with the desired behavior.