to physical cues. [4,5] Mimicking such intelligent responses in artificial systems is a long-standing challenge that requires the integration of stimulus-responsive motility and perception feedback in a robotic body. [6] To date, the mainstream efforts on robot intelligence have been made in programmable control of rigid bodies that rely on individual computational modeling and electric actuation to achieve specific prescribed robot actions, [7] while the complex computing systems, power sources, and electrical motors restrict the robot body from size miniaturization and high-level of motion adaptivity. The realization of intelligent response in a miniature robot requires new design strategies capable of providing tightly coupled actuation and sensing mechanisms, and body compliance.Soft robotics is an emerging field that strives to bridge the gap between robots and biological living organisms. [8] Unlike conventional hard machines, soft robots are comprised of structures that continuously response, deform and morph in efforts to autonomously adapt to surroundings, manipulate objects, and execute dexterous maneuvers. [9] Without doubt, the stimulus responsiveness and multifunctionalities of active soft matter have opened up opportunities for diverse designs of actuation strategies [10][11][12][13][14][15] (including light, heat, humidity, electrical, pneumatic, and magnetic actuation) and sensing schemes [16][17][18][19][20] (such as resistive, capacitive, and self-powered sensing). Synchronous motility and multisensory perception in one compact system, especially when the robot size is down to centimeter scale, still proves a particular fabrication challenge. [21] So far, limited embodiments based on a single mode of sensory feedback mechanism have been achieved, [22][23][24][25][26][27][28][29] such as ionic capacitive sensors embedded in a pneumatic actuator, [23] liquid metal strain sensors integrated in a soft gripper, [30] and piezoresistive strain feedback in artificial muscles. [26] And few attempts at integrating multifunctional sensing schemes [31,32] have revealed inherent limitations in multiple connection terminals, complex electric power inputs, and complicated fabrication processes, where trade-offs between the actuation/shape adaptivity and sensing capability is unavoidable.Here, we overcome these challenges using an integral thinfilm construct to demonstrate fabrication of customizable, Living organisms are capable of sensing and responding to their environment through reflex-driven pathways. The grand challenge for mimicking such natural intelligence in miniature robots lies in achieving highly integrated body functionality, actuation, and sensing mechanisms. Here, somatosensory light-driven robots (SLiRs) based on a smart thin-film composite tightly integrating actuation and multisensing are presented. The SLiR subsumes pyro/piezoelectric responses and piezoresistive strain sensation under a photoactuator transducer, enabling simultaneous yet non-interfering perception of its body temperature a...