A New Robotic System for Visually Controlled Percutaneous Inerventions under CT Fluoroscopy
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
OpenTracker-An Open Software Architecture for Reconfigurable Tracking based on XML
VR '01 Proceedings of the Virtual Reality 2001 Conference (VR'01)
Online estimation of the target registration error for n-ocular optical tracking systems
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Spatial Motion Constraints Using Virtual Fixtures Generated by Anatomy
IEEE Transactions on Robotics
Collaborative co-design of emerging multi-technologies for surgery
Journal of Biomedical Informatics
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This paper presents an adaptive control scheme for improving the performance of a surgical robot when it executes tasks autonomously. A commercial tracking system is used to correlate the robot with the preoperative plan as well as to correct the position of the robot when errors between the real and planned positions are detected. Due to the noisy signals provided by the tracking system, a Kalman filter is proposed to smooth the variations and to increase the stability of the system. The efficiency of the approach has been validated using rigid and flexible endoscopic tools, obtaining in both cases that the target points can be reached with an error less than 1mm. These results make the approach suitable for a range of abdominal procedures, such as autonomous repositioning of endoscopic tools or probes for percutaneous procedures.