Danny Tat-Ming Chan

dblp:221/4501 · also Danny Tat Ming Chan · DBLP profile ↗
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4ranked-venue papers
0as first author
4since 2021 · last 2025
0000-0003-2309-3628ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 4 since 2021Systems, architecture and hardware · 4 · 4 since 2021
YearPublicationVenuePosition
2025 Non-Contact Hand-Guided Coarse Positioning of Neurosurgical Instrument Insertion End Effector Based on Magnetic Sensing
abstract
Despite 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
IROS6
2024 Design and Visual Servoing Control of a Hybrid Dual-Segment Flexible Neurosurgical Robot for Intraventricular Biopsy
abstract
Traditional 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
ICRA8
2024 Co-Axial Slender Tubular robot (CAST): Towards Robotized Operation for Transorbital Neurosurgery with Minimal Invasiveness
abstract
Transorbital Neuro Surgery (TNS) offers a novel treatment towards the lesion inside skull pursuing minimal invasiveness. Most conventional TNS tools are rigid and straight, limiting the dexterity and accessibility in passing a small port. Bendable and steerable surgical tools provides an alternative for this issue. In this work, we proposed a dual-segment slender surgical robot arm for TNS, which is a Co-Axial Slender Tubular robot (CAST), and modelled it using novel approaches. Another contribution is tendon-mortise shaped slits along the axial direction, enhancing the overall stiffness. The bending of CAST is actuated by pushing/pulling distance, and the maximum diameter is only 1.7mm with high dexterity after mounting on a rigid robot arm. Experiments demonstrates that the proposed the slit design doubles the stiffness properties compared to traditional rectangle slit designs. The path-following task shows that the position error was maximally 3mm in open-looped control. Test on a skull model demonstrates that the whole system could successfully perform electrocoagulation procedure inside the depth of skull in a robotized manner effectively.
Shuai Wang 0024, Qingxiang Zhao, Jian Chen 0036, Mingcong Chen, Guanglin Cao, Runfeng Zhu, Danny Tat-Ming Chan, Ming Feng, Hongbin Liu 0001
ICRA8
2024 Head-Mounted Hydraulic Needle Driver for Targeted Interventions in Neurosurgery
abstract
Needle interventions are crucial in neurosurgery, requiring high precision and stability. This paper presents a 5-DoF head-mounted hydraulic needle robot designed for accurate and targeted needle insertion and neuroimaging in the deep brain. The robot is compact and lightweight by utilizing a hydraulic pipe transmission to connect the needle driver and actuator. The syringe pistons serve as the actuator and executor, enabling synchronized motion, minimal hysteresis, and high-accuracy insertion. The hydraulic transmission system exhibits hysteresis of less than 0.8 mm, with bidirectional insertion accuracy of approximately 0.05 mm. The resulting needle driver features a compact structure measuring 48 mm × 25 mm × 9 mm, accompanied by a 70-mm-long needle guide. The needle driver is mainly 3D printed, while the hydraulic transmission ensures full compatibility with magnetic resonance imaging (MRI) by isolating all electromagnetic parts from the executor. This compact and lightweight robot-assisted needle intervention system significantly enhances the safety, accuracy, and effectiveness of deep-brain neuroimaging. The feasibility of precise positioning and insertion is further demonstrated by deploying an optical coherence tomography (OCT) microneedle in a rat brain.
Zhiwei Fang, Chao Xu 0008, Huxin Gao, Danny Tat-Ming Chan, Wu Yuan 0001, Hongliang Ren 0001
IROS4