Hammond's research focuses on the design and control of adaptive robotic manipulation (ARM) systems. This class of devices exemplified by kinematic structures, actuation topologies, and sensing and control strategies that make them particularly well-suited to operating in unstructured, dynamically varying environments - specifically those involving cooperative interactions with humans. The ARM device design process uses an amalgamation of bioinspiration, computational modeling and optimization, and advanced rapid prototyping techniques to generate manipulation solutions which are functionally robust and versatile, but which may take completely non-biomorphic (xenomorphic) forms. This design process removes human intuition from the design loop and, instead, leverages computational methods to map salient characteristics of biological manipulation and perception onto a vast robotics design space. Areas of interest for ARM research include kinematically redundant industrial manipulation, wearable robotic devices for human augmentation, haptic-enabled teleoperative robotic microsurgery, and autonomous soft robotic platforms.