Demo Data from EDBT 2026 / reviewers in the wild / expert
David Yuen Chung Chan
dblp:362/3827
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Systems, architecture and hardware · 2 · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
robot control |
0.8 | 1 | 2024 | Design and Visual Servoing Control of a Hybrid Dual-Segment Flexible Neurosurgical Robot for Intraventricular Biopsy · ICRA 2024 |
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing |
0.8 | 1 | 2024 | Design and Visual Servoing Control of a Hybrid Dual-Segment Flexible Neurosurgical Robot for Intraventricular Biopsy · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
online jacobian estimation · 1.5model predictive control · 1.5image-based visual servoing · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Non-Contact Hand-Guided Coarse Positioning of Neurosurgical Instrument Insertion End Effector Based on Magnetic SensingabstractDespite advantages from neurosurgical systems, achieving intuitive and safe collaboration with robot during the coarse positioning of instrument insertion end effector (IIEE) remains a critical issue. In this paper, we propose a novel non-contact hand-guided method for such advancement based on magnetic sensing. First, a wearable magnet band and a magnetic sensor are designed, based on which the magnetic localization is achieved for surgeon’s hand location detection. Second, a quadratic programming-based control is implemented, to guarantee the pose-based servo performance, higher rotational manipulability for IIEE fine alignment, and joint position&velocity limits avoidance. For evaluation, two experiments are designated and conducted. Results show that the magnetic localization algorithm can achieve < 4.7 mm and 2.6° errors in a dynamic path tracking test, which can provide an accurate magnet location for hand guidance. Moveover, workflow of the proposed solution in a brain biopsy scenario demonstrates its enhancement of IIEE rotational manipulability (11.6% increase at final configuration), and safety improvement of collision avoidance when other surgeon approaches for cannula delivery. This research contributes to enhanced intuitiveness and safety for surgeon-robot collaborative coarse positioning of IIEE in neurosurgery. Yitian Xian, Yichong Sun, Xiao Luo 0005, Yingbai Hu, Limin Zou, Danny Tat-Ming Chan, David Yuen Chung Chan, Zheng Li 0012 |
IROS | 7 |
| 2024 | Design and Visual Servoing Control of a Hybrid Dual-Segment Flexible Neurosurgical Robot for Intraventricular BiopsyabstractTraditional rigid endoscopes have challenges in flexibly treating tumors located deep in the brain, and low operability and fixed viewing angles limit its development. This study introduces a novel dual-segment flexible robotic endoscope MicroNeuro, designed to perform biopsies with dexterous surgical manipulation deep in the brain. Taking into account the uncertainty of the control model, an image-based visual servoing with online robot Jacobian estimation has been implemented to enhance motion accuracy. Furthermore, the application of model predictive control with constraints significantly bolsters the flexible robot’s ability to adaptively track mobile objects and resist external interference. Experimental results underscore that the proposed control system enhances motion stability and precision. Phantom testing substantiates its considerable potential for deployment in neurosurgery. Jian Chen 0036, Mingcong Chen, Qingxiang Zhao, Shuai Wang 0024, Danny Tat-Ming Chan, Kam Tong Leo Yeung, David Yuen Chung Chan, Hongbin Liu 0001 |
ICRA | 10 |