Lining Yao, Assistant Professor of Mechanical Engineering at UC Berkeley and director of the Morphing Matter Lab, presents this Stanford Robotics Seminar (ENGR319) talk on embodied intelligence built from shape-changing materials. She lays out open design challenges in the field: making robots fully degradable, biocompatible, capable of arbitrary shape morphing, and built with freely reconfigurable degrees of freedom. Yao argues that solving these problems often means stepping outside conventional mechatronic design, toward materials and mechanisms that compute their own behavior rather than relying on rigid motors and linkages. She walks through how computational design and optimization tools help engineers predict and control these unconventional systems, drawing on examples from her lab's work on morphing structures. The talk runs just over an hour and is aimed at a graduate robotics audience already familiar with mechatronics basics, using that background to motivate why embodied, material-based intelligence is a necessary next step for robotic design.