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462 results on '"Ren, Hongliang"'

3. SimCol3D -- 3D Reconstruction during Colonoscopy Challenge

Author

Rau, Anita, Bano, Sophia, Jin, Yueming, Azagra, Pablo, Morlana, Javier, Kader, Rawen, Sanderson, Edward, Matuszewski, Bogdan J., Lee, Jae Young, Lee, Dong-Jae, Posner, Erez, Frank, Netanel, Elangovan, Varshini, Raviteja, Sista, Li, Zhengwen, Liu, Jiquan, Lalithkumar, Seenivasan, Islam, Mobarakol, Ren, Hongliang, Lovat, Laurence B., Montiel, José M. M., and Stoyanov, Danail

Subjects
Computer Science - Computer Vision and Pattern Recognition, I.4.5
Abstract

Colorectal cancer is one of the most common cancers in the world. While colonoscopy is an effective screening technique, navigating an endoscope through the colon to detect polyps is challenging. A 3D map of the observed surfaces could enhance the identification of unscreened colon tissue and serve as a training platform. However, reconstructing the colon from video footage remains difficult. Learning-based approaches hold promise as robust alternatives, but necessitate extensive datasets. Establishing a benchmark dataset, the 2022 EndoVis sub-challenge SimCol3D aimed to facilitate data-driven depth and pose prediction during colonoscopy. The challenge was hosted as part of MICCAI 2022 in Singapore. Six teams from around the world and representatives from academia and industry participated in the three sub-challenges: synthetic depth prediction, synthetic pose prediction, and real pose prediction. This paper describes the challenge, the submitted methods, and their results. We show that depth prediction from synthetic colonoscopy images is robustly solvable, while pose estimation remains an open research question.

Published
2023
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6. Bioinspired soft robotics: How do we learn from creatures?

Author

Yang, Yang, He, Zhiguo, Jiao, Pengcheng, and Ren, Hongliang

Subjects
Computer Science - Robotics
Abstract

Soft robotics has opened a unique path to flexibility and environmental adaptability, learning from nature and reproducing biological behaviors. Nature implies answers for how to apply robots to real life. To find out how we learn from creatures to design and apply soft robots, in this Review, we propose a classification method to summarize soft robots based on different functions of biological systems: self-growing, self-healing, self-responsive, and self-circulatory. The bio-function based classification logic is presented to explain why we learn from creatures. State-of-art technologies, characteristics, pros, cons, challenges, and potential applications of these categories are analyzed to illustrate what we learned from creatures. By intersecting these categories, the existing and potential bio-inspired applications are overviewed and outlooked to finally find the answer, that is, how we learn from creatures., Comment: 15 pages, 6 figures, journal article IEEE Reviews in biomedical engineering(2022), Early Access

Published
2023
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10. SimCol3D — 3D reconstruction during colonoscopy challenge

Author

Rau, Anita, Bano, Sophia, Jin, Yueming, Azagra, Pablo, Morlana, Javier, Kader, Rawen, Sanderson, Edward, Matuszewski, Bogdan J., Lee, Jae Young, Lee, Dong-Jae, Posner, Erez, Frank, Netanel, Elangovan, Varshini, Raviteja, Sista, Li, Zhengwen, Liu, Jiquan, Lalithkumar, Seenivasan, Islam, Mobarakol, Ren, Hongliang, Lovat, Laurence B., Montiel, José M.M., and Stoyanov, Danail

Published
2024
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17. CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Author

Nwoye, Chinedu Innocent, Alapatt, Deepak, Yu, Tong, Vardazaryan, Armine, Xia, Fangfang, Zhao, Zixuan, Xia, Tong, Jia, Fucang, Yang, Yuxuan, Wang, Hao, Yu, Derong, Zheng, Guoyan, Duan, Xiaotian, Getty, Neil, Sanchez-Matilla, Ricardo, Robu, Maria, Zhang, Li, Chen, Huabin, Wang, Jiacheng, Wang, Liansheng, Zhang, Bokai, Gerats, Beerend, Raviteja, Sista, Sathish, Rachana, Tao, Rong, Kondo, Satoshi, Pang, Winnie, Ren, Hongliang, Abbing, Julian Ronald, Sarhan, Mohammad Hasan, Bodenstedt, Sebastian, Bhasker, Nithya, Oliveira, Bruno, Torres, Helena R., Ling, Li, Gaida, Finn, Czempiel, Tobias, Vilaça, João L., Morais, Pedro, Fonseca, Jaime, Egging, Ruby Mae, Wijma, Inge Nicole, Qian, Chen, Bian, Guibin, Li, Zhen, Balasubramanian, Velmurugan, Sheet, Debdoot, Luengo, Imanol, Zhu, Yuanbo, Ding, Shuai, Aschenbrenner, Jakob-Anton, van der Kar, Nicolas Elini, Xu, Mengya, Islam, Mobarakol, Seenivasan, Lalithkumar, Jenke, Alexander, Stoyanov, Danail, Mutter, Didier, Mascagni, Pietro, Seeliger, Barbara, Gonzalez, Cristians, and Padoy, Nicolas

Published
2023
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32. Comparative Study of Mechanical Scaling Effects of Origami-Inspired Motion Generation Mechanisms with Multi-Degree Vertices.

Author

Krishnapuram, Seetharam, Xiao, Xiao, and Ren, Hongliang

Subjects
ENGINEERING design, ORIGAMI, QUADRILATERALS, POLYGONS, KINEMATICS
Abstract

Origami exhibits the remarkable ability to transform into diverse shapes, including quadrilaterals, triangles, and more complex polygons. This unique property has inspired the integration of origami principles into engineering design, particularly in the development of foldable mechanisms. In the field of robotics, when combined with actuators, these foldable mechanisms are referred to as active origami. Origami-based mechanisms play a pivotal role as versatile end effectors or grippers, enabling them to accurately trace desired trajectories. The performance of these mechanisms heavily relies on their specific fold patterns. To shed light on their capabilities, this study focuses on five representative structures using spherical mechanisms: oriceps, Miura ori, MACIOR, and two hexagonal structures. To assess their potential, a comparative analysis is conducted, evaluating their kinematic and scaling performances. The analysis employs the "scaling factor" as a metric, which quantifies the mechanical advantage of these mechanisms. This metric aids in the selection of appropriate structures for various applications. [ABSTRACT FROM AUTHOR]

Published
2024
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40. Reversible Elastomer–Fluid Transitions for Metamorphosic Robots.

Author

Yang, Yang, Yuan, Sishen, and Ren, Hongliang

Subjects
REVERSIBLE phase transitions, PHASE transitions, SOFT robotics, ROBOTS, THERMOPLASTIC elastomers, PHASE change materials
Abstract

Endowing robots with reversible phase transition ability, especially between elastomer and fluid states, can significantly broaden their functionality and applicability. Limited attempts have been made to realize the reversible elastomer–fluid transition. Existing phase transition materials in robotics have over‐hard (≈4 GPa) or over‐soft (≈4 kPa) stiffness in the solid states, which should be further investigated to perform more compliant motions. To address these challenges, a reversible elastomer–fluid transition mechanism enabled by magnetically induced hot melt materials (MIMMs) is presented. The transition principle is explained and material characterizations are conducted. MIMMs‐based metamorphosic robots endow self‐metamorphosing abilities, such as self‐healing, spatial reshaping, self‐division/assembly, and additive manufacturability. When interacting with external environments, MIMMs‐based robots can perform further multifunctional abilities, such as collaborations for structure repairs, swimming by symbiosis with external objects, flowing through a narrow terrain by transiting to fluid, and working with elastomeric structures for stiffness‐variable fluid soft actuators. The proposed elastomer–fluid transitions open a new path for robots to generate more flexible and metamorphosic motions, thereby addressing the cross‐phase transformation challenges that soft robots face. [ABSTRACT FROM AUTHOR]

Published
2024
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46. Effects of gap thickness and emitter location on the photoluminescence enhancement of monolayer MoS2 in a plasmonic nanoparticle-film coupled system

Author

Qi Xiaozhuo, Lo Tsz Wing, Liu Di, Feng Lantian, Chen Yang, Wu Yunkun, Ren Hongliang, Guo Guang-Can, Lei Dangyuan, and Ren Xifeng

Subjects
nanoparticle-film coupled system, photoluminescence enhancement, plasmonic nanocavity, transition-metal dichalcogenides, Physics, QC1-999
Abstract

Plasmonic nanocavities comprised of metal film-coupled nanoparticles have emerged as a versatile nanophotonic platform benefiting from their ultrasmall mode volume and large Purcell factors. In the weak-coupling regime, the particle-film gap thickness affects the photoluminescence (PL) of quantum emitters sandwiched therein. Here, we investigated the Purcell effect-enhanced PL of monolayer MoS2 inserted in the gap of a gold nanoparticle (AuNP)–alumina (Al2O3)–gold film (Au Film) structure. Under confocal illumination by a 532 nm CW laser, we observed a 7-fold PL peak intensity enhancement for the cavity-sandwiched MoS2 at an optimal Al2O3 thickness of 5 nm, corresponding to a local PL enhancement of ∼350 by normalizing the actual illumination area to the cavity’s effective near-field enhancement area. Full-wave simulations reveal a counterintuitive fact that radiation enhancement comes from the non-central area of the cavity rather than the cavity center. By scanning an electric dipole across the nanocavity, we obtained an average radiation enhancement factor of about 65 for an Al2O3 spacer thickness of 4 nm, agreeing well with the experimental thickness and indicating further PL enhancement optimization. Our results indicate the importance of configuration optimization, emitter location and excitation condition when using such plasmonic nanocavities to modulate the radiation properties of quantum emitters.

Published
2020
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