News

We are pleased to announce that a final-year project developed by Bosco CHIM Ho Yin, under the supervision of Prof. Hongliang Ren, has received an Outstanding Award at the ASMPT Technology Award 2026. The project addresses critical safety challenges in endoscopy, where clinicians often face […]

On July 13, 2026, in Sydney, Prof. Hongliang Ren participated as a distinguished keynote speaker and panelist at the Robotics: Science and Systems (RSS) 2026 workshop, titled “Bridging AI and Robotics: Towards Safer and Smarter Healthcare“. The workshop brought together leading researchers, […]

July 2026 – The Ren Lab at The Chinese University of Hong Kong (CUHK) was pleased to host a productive visit from Prof. Emmanuel Vander Poorten (KU Leuven) and his postdoc, Dr. Ruixuan Li. This visit offered a valuable opportunity to exchange ideas and strengthen collaborative ties in medical […]

July 2026 – The Ren Lab hosted Prof. Peter Xu from the University of Auckland for a week-long visit (July 2–8). Prof. Xu visited CUHK under the Faculty Mobility Scheme, during which he collaborated with our faculty members on ongoing research. The week was filled with high-level technical […]

June 18, 2026 – Prof. Mark R. Cutkosky, Fletcher Jones Professor in the Department of Mechanical Engineering at Stanford University, delivered a Faculty of Engineering Distinguished Lecture at The Chinese University of Hong Kong (CUHK), titled “Biomimetic Robotics for Medical Devices.” The […]

We are excited to share our latest Comment published in #npj Digital Medicine:“How can reasoning capability empower the AI copilot robot in endoscopic surgery” Current AI copilots in endoscopic surgery are still largely reactive and vision-driven. While they can detect anatomy, instruments, and […]

Thrilled to share our latest Advanced Science work on enabling highly transferable, autonomous navigation for wireless capsule endoscopy (WCE)—using a lightweight Edge-Contour-Depth Fusion module and deep reinforcement learning (DRL). WCE has revolutionized GI diagnostics, but its potential is […]

June 10, 2026 – Prof. Hongliang Ren of CUHK is invited to deliver an invited talk at the MAE Seminar hosted by the Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology (HKUST). The talk is entitled “Tethered & Tetherless Reconfigurations at […]

June 6, 2026 – Prof. Hongliang Ren of CUHK was invited to speak at the Intelligent Medicine and Brain‑Computer Interface Industry‑Education Integration Innovation Conference held at Furong Laboratory, Changsha. The conference, themed “Intelligent Medicine and Brain‑Computer Interface: […]

REN Lab is excited to join #ICRA2026 in Vienna! 🤖✨ This year, our team will present a range of recent work across medical robotics, embodied intelligence, bioinspired design, and robot-assisted surgery. We look forward to sharing our research progress, exchanging ideas with the international […]

Thrilled to share our newly accepted paper in IEEE Transactions on Medical Robotics and Bionics, where we introduce a soft, endoscope-deployable microfluidic suction robot that combines multimodal intraluminal locomotion with localized aspiration and sampling for targeted mucus clearance and liquid […]

May 29, 2026, Óbudai University – Prof. Hongliang Ren of The Chinese University of Hong Kong (CUHK) and Prof. Peter Kazanzides of Johns Hopkins University were invited to present a joint seminar at the Antal Bejczy Center for Intelligent Robotics (IROB), University Research and Innovation […]

May 21–23, 2026 – Prof. Hongliang Ren of The Chinese University of Hong Kong (CUHK) was invited to deliver a keynote lecture at the 6th International Conference on Robotics and Control Engineering (RobCE 2026), held at The Hong Kong Polytechnic University. The conference was co‑organized by […]

May 17, 2026 – Prof. Ren Hongliang’s research group participated in an exchange with the NVIDIA Healthcare and Life Sciences team at The Chinese University of Hong Kong (CUHK). The visit focused on NVIDIA’s technology roadmap in healthcare and potential collaborations in medical robotics, […]

NANJING, May 16, 2026 – Prof. Hongliang Ren of The Chinese University of Hong Kong attended the 38th Chinese Control and Decision Conference (CCDC 2026), which opened at the Nanjing Fengda International Hotel and featured a forum titled “Knowledge and Data-Driven Intelligent Diagnosis and […]

On 13 May 2026, Prof. Ren Hongliang’s research group visited the Endoscopy Center at the Sixth Affiliated Hospital of Sun Yat‑sen University in Guangzhou. The visit was hosted by Prof. Hu Jiancong. Activities The visit provided an opportunity to exchange perspectives on clinical needs and […]

On Tuesday, 12 May 2026, Prof. Guangzhong Yang visited Prof. Ren Hongliang’s laboratory. During the visit, lab members presented ongoing research through a series of demonstrations. Dr. Yang Yang, Dr. Gao Huxin, Dr. Liu Tangyou, Botao, Haoxuan, and other members showcased recent work including: […]

On 10 May 2026, Prof. Ren Hongliang and his team from the Department of Electronic Engineering, The Chinese University of Hong Kong (CUHK), visited Xiangya School of Medicine, Central South University (CSU) in Changsha. The meeting was hosted by Prof. Zhu Liyong, Xiangya School of Medicine. […]

Changsha, China, May 9, 2026 — Professor Hongliang Ren from the Department of Electronic Engineering, The Chinese University of Hong Kong, was invited to speak at High-Level Talent Forum III during the 41st Youth Academic Annual Conference of Chinese Association of Automation (YAC2026). At […]

May 6, 2026 – The research group of Prof. Hongliang Ren was pleased to host Prof. Pierre Dupont as part of the Faculty of Engineering Distinguished Lecture series. Prof. Dupont is a Professor of Surgery at Harvard Medical School, Chief of Pediatric Cardiac Bioengineering at Boston Children’s […]

🤖🪢Thrilled to share our latest work published on Nature Communication, which redefines actuation for tendon-driven continuum robots — achieving full 3D omnidirectional motion and body twist using only a single tendon. 🧠✨ What we developed: A new class of continuum robots that:🔹 […]

On the afternoon of April 24, 2026, Professor Hongliang Ren’s research team from The Chinese University of Hong Kong visited The Third Affiliated Hospital of Sun Yat-sen University (SYSU Third Hospital) to hold an academic symposium and salon on Embodied Medical Robotics. The event was held in […]

Thrilled to share our latest international collaboration! At NVIDIA GTC 2026 in San Jose, CA, the team led by Professor Hongliang Ren from The Chinese University of Hong Kong (CUHK), in partnership with NVIDIA and 35 leading global institutions, officially released Open-H-Embodiment, the […]

Thrilled to share our latest #𝗦𝗰𝗶𝗲𝗻𝗰𝗲𝗔𝗱𝘃𝗮𝗻𝗰𝗲 work on a 𝗰𝗲𝗻𝘁𝗶𝗺𝗲𝘁𝗲𝗿-𝘀𝗰𝗮𝗹𝗲, 𝗳𝘂𝗹𝗹𝘆 𝘀𝗲𝗮𝗹𝗲𝗱, 𝗹𝗲𝗴𝗹𝗲𝘀𝘀 𝗮𝗺𝗽𝗵𝗶𝗯𝗶𝗼𝘂𝘀 𝗿𝗼𝗯𝗼𝘁 […]

🏥 Accurate visualization of subtle vascular dynamics remains a significant challenge in minimally invasive surgery, where dynamic complexities often limit decision-making reliability. Our paper introduces 𝗘𝗻𝗱𝗼𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗠𝗮𝗴, a framework designed to […]

Thrilled to share our latest work, 𝐆𝐞𝐨𝐋𝐚𝐧𝐆, a unified geometry-aware framework for language-guided robotic grasping. Language-guided grasping is a key capability for intuitive human–robot interaction. A robot should not only detect objects but also understand natural […]

Thrilled to share our latest work on enabling robust sparse-to-dense reconstruction for endoscopic surgical robots — bridging the gap between 𝐬𝐩𝐚𝐫𝐬𝐞 𝐬𝐞𝐧𝐬𝐨𝐫 𝐝𝐚𝐭𝐚 𝐚𝐧𝐝 𝐡𝐢𝐠𝐡-𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝟑𝐃 […]

We present 𝐍𝐞𝐮𝐫𝐨-𝐕𝐋𝐀, an scenario-aware model designed for the motion control of a parallel continuum neurosurgical robot. Robotic surgery systems have garnered significant attention for their precision and efficiency, yet achieving autonomous tasks in complex neurosurgical […]

We present 𝐊𝐢𝐫𝐢-𝐂𝐚𝐩𝐬𝐮𝐥𝐞, a swallowable kirigami-inspired capsule robot that enables minimally invasive GI biopsy—pushing capsule endoscopy from imaging to tissue sampling. Wireless capsule endoscopy is comfortable and accessible, but cannot collect biopsy tissue, […]

𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥 𝐢𝐧 𝐑𝐨𝐛𝐨𝐭-𝐚𝐬𝐬𝐢𝐬𝐭𝐞𝐝 𝐒𝐮𝐫𝐠𝐞𝐫𝐲! Thrilled to share our latest work, […]

We present TMR-VLA, an end-to-end framework designed for the motion control of tri-leg silicone-based soft robots. Miniature magnetic robots face a hardware bottleneck where the robot body is too small to integrate onboard sensors or power. This creates a gap between actuation and perception, often […]

We are thrilled to share our latest Comment published in #NatureReviewsBioengineering: “𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗸𝗶𝗻𝗮𝗲𝘀𝘁𝗵𝗲𝘀𝗶𝗮 𝗶𝗻 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗿𝗼𝗯𝗼𝘁𝗶𝗰 𝘀𝘂𝗿𝗴𝗲𝗿𝘆”. Current […]

Thrilled to share our latest The International Journal of Robotics Research (IJRR) work on enabling 𝗴𝗿𝗮𝘃𝗶𝘁𝘆‑𝗮𝘄𝗮𝗿𝗲 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 for 𝗽𝗼𝗿𝘁𝗮𝗯𝗹𝗲 𝗰𝗮𝗯𝗹𝗲‑𝗱𝗿𝗶𝘃𝗲𝗻 𝘀𝗼𝗳𝘁 […]

𝗧𝗶𝘁𝗹𝗲: 𝗔 𝗧𝗿𝗮𝗻𝘀𝗲𝗻𝗱𝗼𝘀𝗰𝗼𝗽𝗶𝗰 𝗧𝗲𝗹𝗲𝗿𝗼𝗯𝗼𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺 𝗨𝘀𝗶𝗻𝗴 𝗛𝗲𝘁𝗲𝗿𝗼𝗴𝗲𝗻𝗲𝗼𝘂𝘀 𝗙𝗹𝗲𝘅𝗶𝗯𝗹𝗲 […]

🏆 Paper: Contact-Aided Navigation of Flexible Robotic Endoscope Using Deep Reinforcement Learning in Dynamic Stomach 👩‍🔬 Authors: Chi Kit Ng, Huxin Gao, Tianao Ren, Prof. Jiewen Lai, and Prof. Hongliang Ren 🔍 𝗪𝗵𝘆 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: Navigating flexible […]

This work introduces a comprehensive dataset designed to advance AI-driven surgical robotics and medical imaging. By capturing detailed 𝗮𝗻𝗮𝘁𝗼𝗺𝗶𝗰𝗮𝗹 𝗹𝗮𝗻𝗱𝗺𝗮𝗿𝗸𝘀 𝗼𝗳 𝘁𝗵𝗲 𝘂𝗽𝗽𝗲𝗿 𝗮𝗶𝗿𝘄𝗮𝘆, we aim to […]

💡This work introduces 𝗩𝗟-𝗦𝘂𝗿𝗴𝗣𝗧, the first large-scale multimodal dataset that 𝘪𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘦𝘴 𝘷𝘪𝘴𝘶𝘢𝘭 𝘵𝘳𝘢𝘫𝘦𝘤𝘵𝘰𝘳𝘪𝘦𝘴 𝘸𝘪𝘵𝘩 𝘴𝘦𝘮𝘢𝘯𝘵𝘪𝘤 𝘱𝘰𝘪𝘯𝘵 […]

🎉 Excited to share that the 3rd C4SR+ Workshop: 𝘾𝙤𝙣𝙩𝙞𝙣𝙪𝙪𝙢, 𝘾𝙤𝙢𝙥𝙡𝙞𝙖𝙣𝙩, 𝘾𝙤𝙤𝙥𝙚𝙧𝙖𝙩𝙞𝙫𝙚, 𝘾𝙤𝙜𝙣𝙞𝙩𝙞𝙫𝙚 𝙎𝙪𝙧𝙜𝙞𝙘𝙖𝙡 𝙍𝙤𝙗𝙤𝙩𝙞𝙘 […]

The work couples a VLM backbone with a dual-phase training recipe (SFT → RFT) to turn language prompts into robust tracking and motor commands for a continuum endoscope. A highlight was a meeting with Prof. Ken Goldberg—especially meaningful since Prof. Ren previously served as a postdoc at UC […]

His keynote, “Robotic Endoscopy & Surgical Foundation Models,” dived deep into intelligent minimally invasive surgical robots. Specifically, he highlighted how advanced flexible surgical motion generation and perception capabilities are set to transform procedures with surgical foundation […]

👏 Huge congratulations to YIMING HUANG, Long Bai, Beilei Cui, and our amazing co-authors Kun Yuan, Guankun Wang, Mobarak I. Hoque, Nicolas Padoy, Nassir Navab, and Hongliang Ren for their outstanding contributions. 🤝 Beyond the award, it’s been a wonderful gathering of our lab members and […]

His talk, “𝗘𝗻𝗱𝗼𝗹𝘂𝗺𝗶𝗻𝗮𝗹 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 & 𝗘𝗺𝗯𝗼𝗱𝗶𝗲𝗱 𝗔𝗜 𝗶𝗻 𝘃𝗶𝘃𝗼,” shed light on how robotics and embodied intelligence are reshaping the future of minimally invasive interventions. The vision he […]

In this study, we introduce 𝗦𝘂𝗿𝗴𝗧𝗣𝗚𝗦, a novel framework that enables real-time, text-promptable 3D semantic querying in surgical environments. By integrating 𝘃𝗶𝘀𝗶𝗼𝗻-𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗺𝗼𝗱𝗲𝗹𝘀 with […]

The 3rd C4SR+ Workshop: Continuum, Compliant, Cooperative, Cognitive Surgical Robotic Systems in the Embodied Al Era. Continue reading

🧠 𝗧𝗮𝗹𝗸 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: The presentation explored the challenges and opportunities in motion generation and perception for flexible robots operating in minimally invasive surgical environments. Prof. Ren emphasized the importance of image-guided robotic […]

In this project, we tackled the unique challenges of robotic endoscopy by integrating vision, language grounding, and motion planning into one end-to-end framework. EndoVLA enables: – Precise polyp tracking through surgeon-issued prompts – Delineation and following of abnormal mucosal regions […]

We built 𝐂𝐨𝐏𝐄𝐒𝐃 to help AI better understand surgical workflows—especially the complex motions involved in 𝐄𝐧𝐝𝐨𝐬𝐜𝐨𝐩𝐢𝐜 𝐒𝐮𝐛𝐦𝐮𝐜𝐨𝐬𝐚𝐥 𝐃𝐢𝐬𝐬𝐞𝐜𝐭𝐢𝐨𝐧 (𝐄𝐒𝐃). The dataset includes: 📹 35+ […]

In this work, we tackled the challenge of training models that can keep learning new surgical instruments over time, without forgetting the old ones. Data imbalance made this especially tricky, so we proposed a plug-and-play framework that balances the data using inpainting and blending techniques, […]

Join us in the breathtaking landscapes of 𝐙𝐡𝐚𝐧𝐠𝐲𝐞, China for the 𝟐𝟎𝟐𝟓 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐨𝐧 𝐁𝐢𝐨𝐦𝐢𝐦𝐞𝐭𝐢𝐜 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 […]

The paper is accepted for presentation at IPCAI2025, and we’re especially humbled to receive the 𝗹𝗛𝗨 𝗦𝘁𝗿𝗮𝘀𝗯𝗼𝘂𝗿𝗴 𝗮𝗻𝗱 𝗡𝗗𝗹 𝗕𝗲𝗻𝗰𝗵 𝘁𝗼 𝗕𝗲𝗱𝘀𝗶𝗱𝗲 𝗔𝘄𝗮𝗿𝗱: 𝗛𝗼𝗻𝗼𝗿𝗮𝗯𝗹𝗲 […]

Dr. Yuan’s research advances the field of medical robotics, paving the way for innovative healthcare solutions. A well-deserved milestone after years of dedication and research! Special thanks to his supervisor: Prof. Hongliang Ren and Prof. Max Q.-H. Meng, as well as the examining committee […]

“𝐿𝑜𝑤-𝑆𝑡𝑟𝑎𝑖𝑛 𝐹𝑙𝑒𝑥𝑖𝑏𝑙𝑒 𝐼𝑛𝑘-𝐵𝑎𝑠𝑒𝑑 𝑆𝑒𝑛𝑠𝑜𝑟𝑠 𝐸𝑛𝑎𝑏𝑙𝑒 𝐻𝑦𝑝𝑒𝑟𝑒𝑙𝑎𝑠𝑡𝑖𝑐 𝐼𝑛𝑓𝑙𝑎𝑡𝑖𝑜𝑛 𝑃𝑒𝑟𝑐𝑒𝑝𝑡𝑖𝑜𝑛 […]

We extend our sincere gratitude to Prof. Tan Lee, Prof. Qi Dou, and Prof. S. Kevin Zhou for serving as examiners during Long Bai’s defense. Special thanks to his supervisors, Prof. Hongliang Ren and Prof. Jiewen Lai, for their invaluable guidance throughout his Ph.D. journey. During his time at […]

🗞️ We propose a multimodal Graph Representation network with Adversarial feature Disentanglement (GRAD) for robust surgical workflow recognition in challenging scenarios with domain shifts or corrupted data. Specifically, we introduce a Multimodal Disentanglement Graph Network (MDGNet) that […]

The 𝟏𝐬𝐭 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐨𝐧 𝐈𝐧𝐭𝐞𝐫𝐧𝐞𝐭 𝐨𝐟 𝐖𝐞𝐚𝐫𝐚𝐛𝐥𝐞 𝐓𝐡𝐢𝐧𝐠𝐬 (𝐈𝐨𝐖𝐓 𝟐𝟎𝟐𝟓) will be held at The IEEE 11th World Forum on IoT in 𝐂𝐡𝐞𝐧𝐠𝐝𝐮, 𝐂𝐡𝐢𝐧𝐚 […]

🏆 𝑩𝒆𝒔𝒕 𝑫𝒆𝒔𝒊𝒈𝒏 𝑨𝒘𝒂𝒓𝒅 Tinghua Zhang, Sishen YUAN et al. for “PneumaOCT: Pneumatic optical coherence tomography endoscopy for targeted distortion-free imaging in tortuous and narrow internal lumens”, a collaboration between CUHK ABI Lab […]

This conference serves as a platform for researchers and practitioners to discuss advancements, challenges, and opportunities in information, automation, artificial intelligence, robotics, image processing, computer vision, DSP, and BME. 📅 Submission Deadline: June 15, 2025 🔗 Conference […]

In this work, we tackled a long‐standing challenge in soft tactile sensing—accurately localizing a contact point on a stretchable sensor even in the presence of strain and variable contact forces. Our approach uses ultrasonic scatter signals extracted from a soft waveguide to decouple these […]

1)     Three-Dimension Tip Force Perception and Axial Contact Location Identification for Flexible Endoscopy Using Tissue-Compliant Soft Distal Attachment Cap Sensors2)     TASEC: Rescaling Acquisition Strategy with Energy Constraints under Fusion Kernel for Active Incision Recommendation […]

🔍 This paper addresses several key challenges in PDT, including cross-contamination, constrained operative space, complex anatomy, and the lack of tactile feedback during manual procedures. To overcome these barriers, we propose an “inside-out” robotic system equipped with a retractable […]

This research presents an automatic calibration and dynamic registration method specifically designed for deformable tissues, integrating Augmented Reality (AR) technology to enhance surgical precision in Endoscopic Submucosal Dissection (ESD). Our approach leverages a 6D pose estimator to align […]

In this paper, we explore the role of large vision models in advancing robot-assisted surgery, analyzing key developments and discussing future directions in AI-driven surgical innovation. By examining emerging trends and challenges, we contribute to the broader conversation on how intelligent […]

At the workshop “Origami and Kirigami: How Paper Folding and Cutting Have Revolutionized Soft Robotics and What’s Beyond” (https://lnkd.in/gsYvat-X), Professor Hongliang Ren delivered a keynote speech titled “Tetherless Reconfigurations at Origami-Continuum Interfaces.” Drawing from our […]

During his visit, our team had the opportunity to showcase our latest research efforts across a wide range of topics in surgical intelligence and automation, including augmented reality-assisted surgery, motion magnification, safe dissection trajectory planning, 3D scene understanding & […]

1️⃣ #ICRA2025 – “ETSM: Automating Dissection Trajectory Suggestion and Confidence Map-Based Safety Margin Prediction for Robot-assisted Endoscopic Submucosal Dissection” This work introduces a framework for predicting optimal dissection trajectories while integrating a confidence […]

Port wine stains (PWS) are congenital vascular malformations that can lead to significant psychological and physical complications if untreated. Photodynamic therapy (PDT) is a common treatment but shows variable efficacy due to the heterogeneous vascular architecture of PWS lesions. Current […]

Our paper entitled “Advancing Dense Endoscopic Reconstruction with Gaussian Splatting-driven Surface Normal-aware Tracking and Mapping” has been accepted at #ICRA2025! 🎉 Multi-view inconsistencies in 3D Gaussian Splatting (3DGS) have long limited precise depth and surface reconstruction in […]

This recognition highlights Prof. Ren’s contributions to intelligent medical robotics and AI. Join us in congratulating Prof. Ren on this well-deserved achievement! 🎉👏 🔗 Check the awards inauguration ceremony at https://lnkd.in/gEAcPecJ Continue reading

– Background Open tracheostomy (OT) remains the gold standard for managing airway obstruction; however, it is associated with stringent procedural requirements, scarring, and risks of infection. Percutaneous dilation tracheostomy (PDT), while more cost-effective, less invasive, and safer for […]

This work introduces a modular robotic platform designed to assist in nasotracheal intubation, a critical yet challenging procedure in clinical settings. While orotracheal intubation robots have seen significant development, nasotracheal intubation remains underdeveloped, particularly in terms of […]

In this work, we introduce the Tangent Line Decomposition (TLD) algorithm, a new approach to finding collision-free paths in 2D polygon and 3D polyhedron environments. TLD simplifies path planning by breaking it into smaller steps, focusing on one key obstacle at a time. Instead of building a […]

In this post, we are pleased to share a paper entitled “Three-dimension Tip Force Perception and Axial Contact Location Identification for Flexible Endoscopy using Tissue-compliant Soft Distal Attachment Cap Sensors”, contributed by Zhang T†, Yang Yang†, Yang Yang, Huxin Gao, Sam, Jiewen […]

🎉 Congrates to WENCHAO YUE, Yunong, and all the collaborators! Continue reading

Here are some highlights: 1. Our lab members Sishen YUAN, Tao Zhang, YIMING HUANG, and Yupeng Wang presented 6 papers covering medical robotics, augmented reality, and surgical scene rendering, among others. 2. One of our accepted papers, entitled “Multimodal Augmented Reality Assisted Incision […]

During the 2024 International Automatic Control Conference (CACS 2024, https://lnkd.in/gYVg4tx5), Prof. Hongliang Ren was invited as a keynote speaker and delivered a talk on “Compliant Robotic Motion Control and Perception Towards Intelligent Minimally Invasive Surgical Procedures”. The […]

Workshop 1: Multisensory Transparency-Augmented Teleoperation in Extreme Environments (https://lnkd.in/gcgvKa_h) Talk Title: Multisensory augmentation and learning of robotic teleoperation in surgical environments Workshop 2: 2nd Workshop on Machine Learning in Medical Robotics: Bridging ML Theory […]

During the 2nd Hong Kong Clinical-Driven Robotics and Embodied AI TEchnology (#CREATE) Symposium held by Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation, CAS, our lab lead Prof. Hongliang Ren gave a talk entiled “Compliant Endoscopic Multisensory […]

A particular highlight was our effort towards automated and intelligent Endoscopic Submucosal Dissection (ESD) surgery, empowered by our indigenous DREAMS (Dual-arm Robotic Endoscopic Assistant for Minimally Invasive Surgery, https://lnkd.in/gQ3PcMsn) platform. We demonstrated how this platform […]

On the Info Day for Undergraduate Admissions 2024, we were thrilled to see a big crowd of visitors joining the admission talk and special event “𝐖𝐞𝐥𝐥-𝐑𝐨𝐮𝐧𝐝𝐞𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐈𝐧𝐜𝐮𝐛𝐚𝐭𝐢𝐨𝐧 […]

We are thrilled to share a new research paper that’s just been published in *Communications Engineering*, showcasing a remarkable advancement in the field of origami-inspired tiny robots. 📰✨ **🔗 [Untethered Bistable Origami Crawler for Confined Applications](https://lnkd.in/gpJHEM-q) ### […]

We’re delighted to share that 6 papers from our lab have been accepted at IEEE ROBIO 2024 (https://lnkd.in/gXQYD7By)! Our team has made significant contributions to the field of robotic surgery, with a diverse range of research topics including: – Neural Rendering – Gaussian Splatting – […]

Our paper entitled “LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion”, led by our former lab member Tong Chen, Qingcheng Lyu, and our PhD student Long Bai, has been awarded the 🎊MICCAI 2024 Best Paper Runner-Up!🎊 This is a collaborative work between the lab of […]

Robotic endoscopes play a crucial role in diagnosing gastrointestinal disease and performing tumor resections. While current research primarily focuses on autonomously controlling rigid robots, establishing control models for flexible robots remains challenging. To address this, model-free deep […]

We will present 4 main conference papers and 4 workshop/challenge papers in #MICCAI2024, Marrakesh, Morocco. These cover interesting topics such as #DDPM, Low-light Image Enhancement, #GaussianSplatting, Depth Reconstruction, Data Robustness, and Medical Image Segmentation. Congrates to all of our […]

This system facilitates targeted, minimally invasive neuroimaging with an axial resolution of about 2.4 μm and a transverse resolution of around 4.5 μm in the deep brain in vivo. The skullbot enables precise deployment of the neuroendoscope with a targeting accuracy of ±1.5 mm transversely and […]

We are thrilled to share that our latest research paper “Enhancing Anti-interference of Magnetic Tracking: A MagRobustNet-based Framework with Self-supervised Anomaly Detection and Measurements Recovery” has been accepted by IEEE Transactions on Industrial Informatics! Magnetic tracking […]

Flexible tactile sensors have garnered significant attention due to their flexible, lightweight, and comfortable nature, catering to the growing demands in various applications such as human-machine interfaces, healthcare, and robotics. However, it remains a challenge to achieve precise contact […]

Our team has developed a telerobotic OCT endoscope that overcomes the limitations of traditional systems. This innovative device offers high-resolution imaging, reduced thermal and electrical risks, and guidewire-independent navigation. Steerable angles up to 110° and distortion-free 3D imaging in […]

The complex anatomy of internal luminal organs, like bronchioles, poses challenges for endoscopic optical coherence tomography (OCT). These challenges include limited steerability for targeted imaging and nonuniform rotation distortion (NURD) with proximal scanning. Using rotary micromotors for […]

Impact: The reconfigurability of magnetic tracking systems (MTSs) allows for its application in workspaces of different sizes. For instance, with appropriate configuration adjustments, it can be utilized for tasks such as tongue tracking in the head, tracheal intubation navigation in the neck, and […]

In this work, we tackle the challenge of open-set recognition in surgical robotics. Our novel OSSAR framework improves the ability to classify known surgical activities while also detecting unknown activities that weren’t seen during training. Key contributions: • A hyperspherical reciprocal […]

Impact: Traditional magnetic tracking approaches based on mathematical models and optimization algorithms are computationally intensive, depend on initial guesses, and do not guarantee convergence to a global optimum. Here we propose an annular magnet pose estimation network (called AMagPoseNet) […]

Great collaboration between the Chinese University of Hong Kong and the Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences. 🤝 The superposition of the geomagnetic vector and the magnetic field vector generated by the permanent magnet (PM) leads to the […]

Existing wearable MTSs are fixed in size and cannot accommodate patients with diverse abdominal circumferences. Here we propose a wearable and reconfigurable MTS. First, we design a reconfigurable sensor array inspired by the structure of bamboo slips, allowing it to conform to the abdominal […]

In the study of minimally invasive surgical robots, a mini parallel continuum robot (PCR) has shown motion advantage after passing through a long and winding working channel. However, due to the interaction force between the elastic wires of the parallel robots during motion generation processes, […]

Capsule endoscopes, predominantly serving diagnostic functions, provide lucid internal imagery but are devoid of surgical or therapeutic capabilities. Consequently, despite lesion detection, physicians frequently resort to traditional endoscopic or open surgical procedures for treatment, resulting […]

Helicobacter pylori, a pervasive bacterial infection associated with gastrointestinal disorders such as gastritis, peptic ulcer disease, and gastric cancer, impacts approximately 50% of the global population. The efficacy of standard clinical eradication therapies is diminishing due to the rise of […]

🔍 In this paper, we unveil an innovative autonomous palpation-based acquisition strategy – RASEC, designed for the tracheal region. RASEC predicts the next acquisition point interactively, maximizing expected information and minimizing palpation procedure costs. By leveraging a Gaussian […]

💡 Soft pneumatic actuators are at the heart of soft robotics, offering reliability, safety, and flexibility. However, conventional bulky air compressors and pipes have limited their integration and lightweight design. Enter the Peltier pouch motor (PPM), a cutting-edge soft thermoelectric-based […]

The paper is available at https://lnkd.in/gfS5fGSw The research is the result of a remarkable collaboration between Yang Yang from CUHK and ZJU, Sam, Jiewen Lai from CUHK, Chaochao Xu from NUS, Zhiguo He and Pengcheng Jiao from ZJU, and Hongliang Ren from CUHK and NUS. 👇 Open the below […]