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Chee-Kong Chui

4 accepted papers

2019

Erratum to "Design, Characterization, and Implementation of a Two-DOF Fabric-Based Soft Robotic Arm"

RA-L 2019

In the above-named work, published in the July 2018 issue of the IEEE Robotics and Automation Letters, there is a missing citation in Sec. II-C. The citation should appear after the sentence "Since it is difficult to precisely model the inflation of the fabrics, we have the following assumptions" in

Cited by 4Source ↗Scholar ↗
2019

Robot-Assisted Training in Laparoscopy Using Deep Reinforcement Learning

RA-L 2019

Minimally invasive surgery (MIS) is increasingly becoming a vital method of reducing surgical trauma and significantly improving postoperative recovery. However, skillful handling of surgical instruments used in MIS, especially for laparoscopy, requires a long period of training and depends highly o

Cited by 55Source ↗Scholar ↗
2018

Design, Characterization, and Implementation of a Two-DOF Fabric-Based Soft Robotic Arm

RA-L 2018

Traditional rigid robotic arms have been widely used in various industries. They own the merits of high force output, precise control, and high efficiency. However, a rigid robotic arm is seldom used by people in daily life, as the cost is usually high and, most importantly, its rigidity, large weig

Cited by 56Source ↗Scholar ↗
2018

Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation

ECCV 2018poster

In multi-label brain tumor segmentation, class imbalance and inter-class interference are common and challenging problems. In this paper, we propose a novel end-to-end trainable network named FSENet to address the aforementioned issues. The proposed FSENet has a tumor region pooling component to res…

Cited by 68Source ↗PDF ↗Scholar ↗