A robot’s code needs to sense the environment, control the hardware, and communicate with other robots. Cur- rent programming languages do not provide the necessary hardware platform-independent abstractions, and therefore, developing robot applications require detailed knowledge of signal processing, control, path plan- ning, network protocols, and various platform-specific details. Further, porting applications across hardware platforms becomes tedious. We present Koord—a domain specific language for distributed robotics—which abstracts platform-specific functions for sensing, communication, and low-level control. Koord makes the platform-independent control and coordination code portable and modularly verifiable. It raises the level of abstraction in programming by providing distributed shared memory for coordination and port interfaces for sensing and control. We have developed the formal executable semantics of Koord in the K framework. With this symbolic execution engine, we can identify assumptions (proof obligations) needed for gaining high assurance from Koord applications. We illustrate the power of Koord through three applications: formation flight, distributed delivery, and distributed mapping. We also use the formation flight and distributed delivery applications to demonstrate how platform-independent proof obligations can be discharged using the Koord Prover while platform-specific proof obligations can be checked by verifying the obligations using physics-based models and hybrid verification tools.