Radio spectrum is fundamental resource for wireless communication. As a result, the ability to allow radios to flexibly use different parts of the wireless spectrum is key to managing this scarce resource efficiently. Indeed, the original vision of a software defined radio is one in which a radio’s center frequency is tunable, as is the precise signal waveform that is to be transmitted. However, a pivotal element is typically not as flexible to program – the antenna. Indeed, most programmable radios today either require mechanical or electronic switching between antennas, or wide-band antennas whose performance is poor especially if form factor is constrained. This project develops Softenna, a first-of-its kind soft-robotic highly re-configurable antenna platform that dynamically adapts its RF properties, including center frequency, beam pattern, directionality and polarization. Softenna achieves this through a combination of mechanical and electronic re-configuration. Softenna combines innovation in wireless systems and soft robotics, enabling curriculum development at the university and K-12 levels that brings together both fields. Softenna is composed of multiple elements fabricated using stretchable and flexible materials and liquid metal. Softenna is designed to offer rich shape changes and a learning-based pipeline that studies which shape pattern is best suited to a given operating frequency, device location and environment. The system will be fully implemented on