The Johns Hopkins University Surgical Assistant Workstation (SAW) modular software framework provides support for robotic devices, imaging sensors and a visualization pipeline for rapid prototyping, primarily for surgical research systems. We extend the SAW [...]

As robotic surgery gains popularity [1, 2, 3], methods for improving situational awareness during tele- operation have become an active area of research. Literature has attempted to incorporate haptic feedback displays to enhance and improve user performance. [...]

Computer assisted intervention (CAI) systems require the integration of an increasing number of devices, including medical monitors, sensors, tracking devices and robots. This complexity makes applications harder to develop, more difficult to debug and the [...]

Teleoperation is currently the dominant form of instrument control for surgical robotics. For example, the mechanical masters in the da Vinci surgical system provides a stable, precise interface for teleoperation, allowing execution of delicate tasks in [...]

The Surgical Assistant Workstation (SAW) modular software framework provides integrated support for robotic devices, imaging sensors, and a visualization pipeline for rapid prototyping of telesurgical research systems. Subsystems of a telesurgical system, [...]

The Surgical Assistant Workstation (SAW) provides a modular, open-source software framework to support rapid prototyping of computer-assisted surgery systems, especially those that benefit from enhanced 3D visualization and user interaction. The framework [...]