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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 4SourceScholar
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 51SourceScholar
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 56SourceScholar
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 68SourcePDFScholar