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pro vyhledávání: '"Fischer, Gregory S"'
Haptic feedback to the surgeon during robotic surgery would enable safer and more immersive surgeries but estimating tissue interaction forces at the tips of robotically controlled surgical instruments has proven challenging. Few existing surgical ro
Externí odkaz:
http://arxiv.org/abs/2409.19970
Autor:
Lin, Fangzhou, Liu, Haotian, Zhou, Haoying, Hou, Songlin, Yamada, Kazunori D, Fischer, Gregory S., Li, Yanhua, Zhang, Haichong K., Zhang, Ziming
3D point clouds enhanced the robot's ability to perceive the geometrical information of the environments, making it possible for many downstream tasks such as grasp pose detection and scene understanding. The performance of these tasks, though, heavi
Externí odkaz:
http://arxiv.org/abs/2409.06171
Autor:
Zhao, Zhanyue, Szewczyk, Benjamin, Tarasek, Matthew, Bales, Charles, Wang, Yang, Liu, Ming, Jiang, Yiwei, Bhushan, Chitresh, Fiveland, Eric, Campwala, Zahabiya, Trowbridge, Rachel, Johansen, Phillip M., Olmsted, Zachary, Ghoshal, Goutam, Heffter, Tamas, Gandomi, Katie, Tavakkolmoghaddam, Farid, Nycz, Christopher, Jeannotte, Erin, Mane, Shweta, Nalwalk, Julia, Burdette, E. Clif, Qian, Jiang, Yeo, Desmond, Pilitsis, Julie, Fischer, Gregory S.
Intracorporeal needle-based therapeutic ultrasound (NBTU) is a minimally invasive option for intervening in malignant brain tumors, commonly used in thermal ablation procedures. This technique is suitable for both primary and metastatic cancers, util
Externí odkaz:
http://arxiv.org/abs/2409.02395
Intra-operative image guidance using magnetic resonance imaging (MRI) can significantly enhance the precision of surgical procedures, such as deep brain tumor ablation. However, the powerful magnetic fields and limited space within an MRI scanner req
Externí odkaz:
http://arxiv.org/abs/2408.08528
Autor:
Zhou, Haoying, Jiang, Yiwei, Gao, Shang, Wang, Shiyue, Kazanzides, Peter, Fischer, Gregory S.
Publikováno v:
2024 International Symposium on Medical Robotics (ISMR) IEEE
In this work, we develop an open-source surgical simulation environment that includes a realistic model obtained by MRI-scanning a physical phantom, for the purpose of training and evaluating a Learning from Demonstration (LfD) algorithm for autonomo
Externí odkaz:
http://arxiv.org/abs/2403.00956
Autor:
Zhang, Dandan, Wu, Zicong, Chen, Junhong, Zhu, Ruiqi, Munawar, Adnan, Xiao, Bo, Guan, Yuan, Su, Hang, Hong, Wuzhou, Guo, Yao, Fischer, Gregory S., Lo, Benny, Yang, Guang-Zhong
Human-robot shared control, which integrates the advantages of both humans and robots, is an effective approach to facilitate efficient surgical operation. Learning from demonstration (LfD) techniques can be used to automate some of the surgical subt
Externí odkaz:
http://arxiv.org/abs/2204.11116
Autor:
D'Ettorre, Claudia, Mariani, Andrea, Stilli, Agostino, Baena, Ferdinando Rodriguez y, Valdastri, Pietro, Deguet, Anton, Kazanzides, Peter, Taylor, Russell H., Fischer, Gregory S., DiMaio, Simon P., Menciassi, Arianna, Stoyanov, Danail
Robotic-assisted surgery is now well-established in clinical practice and has become the gold standard clinical treatment option for several clinical indications. The field of robotic-assisted surgery is expected to grow substantially in the next dec
Externí odkaz:
http://arxiv.org/abs/2104.09869
The da Vinci Research Kit (dVRK) is a teleoperated surgical robotic system. For dynamic simulations and model-based control, the dynamic model of the dVRK is required. We present an open-source dynamic model identification package for the dVRK, capab
Externí odkaz:
http://arxiv.org/abs/1902.10875
Publikováno v:
In Computer Methods and Programs in Biomedicine November 2021 212
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