Philip Nicolai

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BACKGROUND Scene supervision is a major tool to make medical robots safer and more intuitive. The paper shows an approach to efficiently use 3D cameras within the surgical operating room to enable for safe human robot interaction and action perception. Additionally the presented approach aims to make 3D camera-based scene supervision more reliable and(More)
This paper introduces the OP:Sense system that is able to track objects and humans and. To reach this goal a complete surgical robotic system is built up that can be used for telemanipulation as well as for autonomous tasks, e.g. cutting or needle-insertion. Two KUKA lightweight robots that feature seven DOF and allow variable stiffness and damping due to(More)
In current research, haptic feedback in robot assisted interventions plays an important role. However most approaches to haptic feedback only regard the mapping of the current forces at the surgical instrument to the haptic input devices, whereas surgeons demand a combination of medical imaging and telemanipulated robotic setups. In this paper we describe(More)
—In anticipation of upcoming technological advances in the operating room, it is necessary to already give thought to how humans and robots can safely interact and cooperate in the operating room of the future. In this paper, we present a supervision system, consisting of seven 3D cameras, and the according shape cropping algorithm, which allows verifying(More)
We present an approach to track a point cloud with a 3D camera system with low latency and/or high frame rate, based on ground truth provided by a second 3D camera system with higher latency and/or lower frame rate. In particular, we employ human tracking based on Kinect cameras and combine it with higher frame-rate/lower latency of Time-of-Flight (ToF)(More)