Παρακολούθηση
Mengyu Fu
Mengyu Fu
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cs.unc.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Steel plates fault diagnosis on the basis of support vector machines
Y Tian, M Fu, F Wu
Neurocomputing 151, 296-303, 2015
652015
Safe Motion Planning for Steerable Needles Using Cost Maps Automatically Extracted from Pulmonary Images
M Fu, A Kuntz, RJ Webster, R Alterovitz
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
362018
Toward Asymptotically-Optimal Inspection Planning via Efficient Near-Optimal Graph Search
M Fu, A Kuntz, O Salzman, R Alterovitz
Robotics: Science and Systems 2019, arXiv preprint arXiv:1907.00506, 2019
312019
Step-wise support vector machines for classification of overlapping samples
M Fu, Y Tian, F Wu
Neurocomputing 155, 159-166, 2015
272015
Motion background modeling based on context-encoder
Z Qu, S Yu, M Fu
2016 Third International Conference on Artificial Intelligence and Pattern …, 2016
222016
Planning high-quality motions for concentric tube robots in point clouds via parallel sampling and optimization
A Kuntz, M Fu, R Alterovitz
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
212019
Backward Planning for a Multi-Stage Steerable Needle Lung Robot
J Hoelscher, M Fu, I Fried, M Emerson, TE Ertop, M Rox, A Kuntz, ...
IEEE Robotics and Automation Letters 6 (2), 3987-3994, 2021
172021
Decoupling Steerability From Diameter: Helical Dovetail Laser Patterning for Steerable Needles
M Rox, M Emerson, TE Ertop, I Fried, M Fu, J Hoelscher, A Kuntz, ...
IEEE Access 8, 181411-181419, 2020
142020
Toward Certifiable Motion Planning for Medical Steerable Needles
M Fu, O Salzman, R Alterovitz
Robotics: Science and Systems 2021, 2021
132021
Computationally-Efficient Roadmap-based Inspection Planning via Incremental Lazy Search
M Fu, O Salzman, R Alterovitz
2021 IEEE International Conference on Robotics and Automation (ICRA), 7449-7456, 2021
122021
Resolution-Optimal Motion Planning for Steerable Needles
M Fu, K Solovey, O Salzman, R Alterovitz
2022 IEEE International Conference on Robotics and Automation (ICRA), 9652-9659, 2022
102022
Autonomous Medical Needle Steering In Vivo
A Kuntz, M Emerson, TE Ertop, I Fried, M Fu, J Hoelscher, M Rox, ...
Science Robotics; arXiv preprint arXiv:2211.02597 8 (82), eadf7614, 2022
72022
Design Considerations for a Steerable Needle Robot to Maximize Reachable Lung Volume
I Fried, J Hoelscher, M Fu, M Emerson, TE Ertop, M Rox, J Granna, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 1418-1425, 2021
62021
A Metric for Finding Robust Start Positions for Medical Steerable Needle Automation
J Hoelscher, I Fried, M Fu, M Patwardhan, M Christman, J Akulian, ...
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
42022
Steerable Needle Trajectory Following in the Lung: Torsional Deadband Compensation and Full Pose Estimation With 5DOF Feedback for Needles Passing Through Flexible Endoscopes
TE Ertop, M Emerson, M Rox, J Granna, R Webster, F Maldonado, ...
Dynamic Systems and Control Conference 84270, V001T05A003, 2020
42020
An aiming device for steerable needles
M Rox, M Emerson, TE Ertop, M Fu, I Fried, J Hoelscher, A Kuntz, ...
IEEE/ASME International Conference on Advanced Intelligent Mechatronics. IEEE, 2020
32020
Asymptotically optimal inspection planning via efficient near-optimal search on sampled roadmaps
M Fu, A Kuntz, O Salzman, R Alterovitz
The International Journal of Robotics Research 42 (4-5), 150-175, 2023
22023
Design of real-time measurement system with Vision/IMU for close-range semi-physical rendezvous and docking simulation
Z Qu, X Chu, M Fu, X Liu, W Xie, C Wang
2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), 2292-2298, 2016
22016
Toward certifiable optimal motion planning for medical steerable needles
M Fu, K Solovey, O Salzman, R Alterovitz
The International Journal of Robotics Research 42 (10), 798-826, 2023
12023
Efficient Motion and Inspection Planning for Medical Robots with Theoretical Guarantees
M Fu
The University of North Carolina at Chapel Hill, 2022
2022
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