Category: News

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: Industry‑Education Integration Leading New Quality Productivity,” was guided by the Hunan Provincial Department of Science and Technology and hosted by Central South University.

Prof. Ren’s Presentation

Prof. Ren spoke in the Embodied AI Industry‑Education Integration session, presenting on “Endoluminal Robotics & Embodied AI in vivo.” He discussed recent advances in continuum robotics, motion perception, and intelligent image‑guided minimally invasive procedures, emphasizing how telerobotic systems with variable stiffness can assist surgeons in dexterous manipulations.

Conference Highlights

The event featured keynote addresses by academicians Lin Lu and Qingming Luo, followed by parallel sessions on brain‑computer interfaces, medical big data, and embodied AI. Prof. Ren’s talk was well received by researchers and clinicians, sparking discussion on clinical translation of robotic technologies.

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 robotics community, and connecting with colleagues and collaborators throughout the conference.

Prof. Hongliang Ren’s talk:

WORKSHOP#1 – Medical Robot Workshop

 (https://sites.google.com/view/icra26-workshop-medical-robot)

🗓 5 June, Friday, 9:20–9:50, Hall C

Talk: Endoluminal Robotics & Embodied AI in vivo

WROKSHOP#2 – Origami Robot Workshop

(https://sites.google.com/view/origamirob)

🗓 5 June, Friday, 10:10-10:30, Hall C

Talk: Origami and Kirigami Mechanisms in Medical Robotics 

——————————————————————————————————————–

📌 Paper Presentation 1

NeuroVLA: Surgical Scenario-Aware Learning of Debulking Skills in Endoscopic Robotic Neurosurgery Via Vision-Language-Action Model

Authors: Zhiwei Fang, Chi Kit Ng, Huxin Gao, Tao Zhang, Zhiqing Tang, Tat-Ming Chan, Hongbin Liu, Renzhi Wang, Hongliang Ren

🗓 2 June, Tuesday, 15:00–16:30

📍 Hall C, Interactive Session (Thl2l.287)

📌 Paper Presentation 2

GeoLanG: Geometry-Aware Language-Guided Grasping with Unified RGB-D Multimodal Learning

Authors: Rui Tang, Guankun Wang, Long Bai, Huxin Gao, Jiewen Lai, Chi Kit Ng, Jiazheng Wang, Fan Zhang, Hongliang Ren

🗓 3 June, Wednesday, 9:00–10:30

📍 Hall C, Interactive Session (Wel1l.271)

📄 Paper: https://arxiv.org/abs/2602.04231

🖥️ GitHub: https://github.com/Tomry1114/GeoLanG/tree/main

📌 Paper Presentation 3

TMR-VLA: Vision-Language-Action Model for Magnetic Motion Control of Tri-Leg Silicone-Based Soft Robot

Authors: Ruijie Tang, Chi Kit Ng, Kaixuan Wu, Long Bai, Guankun Wang, Yiming Huang, Yupeng Wang, Hongliang Ren

🗓 3 June, Wednesday, 9:00–10:30

📍 Hall C, Interactive Session (Wel1l.311)

📄 Paper: https://arxiv.org/html/2603.00420v1

📌 Paper Presentation 4

SurgVidLM: Towards Multi-Grained Video Understanding with Large Language Model in Robot-Assisted Surgery

Authors: Guankun Wang, Junyi Wang, Wenjin Mo, Long Bai, Kun Yuan, Ming Hu, Jinlin Wu, Junjun He, Yiming Huang, Nicolas Padoy, Zhen Lei, Hongbin Liu, Nassir Navab, Hongliang Ren

🗓 3 June, Wednesday, 15:00–16:30

📍 Hall C, Interactive Session (Wel12l.138)

📄 Paper: https://arxiv.org/abs/2506.17873

🖥️ GitHub: https://github.com/gkw0010/SurgVidLM

📌 Paper Presentation 5

IEEE Robotics & Automation Magazine: Transendoscopic Telerobotic System: Heterogeneous Flexible Manipulators for Bimanual Endoscopic Submucosal Dissection

Authors: Huxin Gao, Xiaoxiao Yang, Tao Zhang, Xiao Xiao, Changsheng Li, Max Q.-H. Meng, Xiuli Zuo, Yanqing Li, Hongliang Ren

🗓 3 June, Wednesday, 15:00–16:30

📍 Hall C, Interactive Session (Wel12l.332)

📄 Paper: https://ieeexplore.ieee.org/abstract/document/11304144/

📌 Paper Presentation 6

EndoDDC: Learning Sparse to Dense Reconstruction for Endoscopic Robotic Navigation Via Diffusion Depth Completion

Authors: Yinheng Lin, Yiming Huang, Beilei Cui, Long Bai, Huxin Gao, Hongliang Ren, Jiewen Lai

🗓 4 June, Thursday, 9:00–10:30 & 5 June Full day workshop @Embracing Intelligent Robotic Assistants for Robot-assisted Surgery in the Era of Embodied Intelligence: Trends, Opportunities, and Challenges

📍 Hall C, Interactive Session (Thl1l.111)

📄 Paper: https://arxiv.org/abs/2602.21893

🎥 Code: https://github.com/Yinheng-Lin/EndoDDC

📌 Paper Presentation 7

Bioinspired Kirigami Capsule Robot for Minimally Invasive Gastrointestinal Biopsy

Authors: Ruizhou Zhao, Yichen Chu, Shuwei Zhao, Wenchao Yue, Hongliang Ren, Raymond Shing-Yan Tang

🗓 4 June, Thursday, 9:00–10:30 & 5 June Full day workshop @Embracing Intelligent Robotic Assistants for Robot-assisted Surgery in the Era of Embodied Intelligence: Trends, Opportunities, and Challenges

📍 Hall C, Interactive Session (Thl1l.204)

📄 Paper: https://arxiv.org/abs/2602.06207

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 biopsy.

🧠✨ What we developed:

A soft intraluminal robotic platform that:

🔹 Integrates Locomotion + Sampling: A pneumatically controlled 2×2 pouch matrix for multimodal actuation, paired with an independent microfluidic suction module for active liquid extraction and sample recovery.

🔹 Enables Stable Pitch Control: A balloon-based pitch control mechanism improves controllability for intraluminal operation, with the best overall performance observed at an initial pressure range of 2–3 kPa.

🔹 Balances Compliance and Safety: Single-pouch characterization guided the selection of a 2 mm pouch radius, achieving up to 246.91% maximum deformation; burst tests show a system safety factor ≈ 5.27 under the reported operating conditions.

🔹 Targets Real Clinical Pain Points: Designed for constrained lumens (e.g., distal airway) where conventional airway clearance approaches struggle with reach and effectiveness.

🎯 Key Results:

✅ Multimodal mobility: Differential actuation achieves 26.9 mm/min forward speed and 4.86° yaw per drive cycle.

✅ Robust suction across viscosities: Efficiently extracts 20–80% glycerol solutions within 10 s (via parameter tuning).

✅ In vivo feasibility: Endoscope-assisted porcine validation confirmed sequential pouch-driven motion and successful recovery of biological samples containing mucus and tissue fragments after saline irrigation.

💡 Why it matters:

This work demonstrates a compliant, integrated “move + anchor + suction” approach for narrow lumens—supporting safer localized intervention and sampling, with a path toward distal airway translation.

🌱 What’s next?

We’re moving toward more automated closed-loop pneumatic control, improved steerability/navigation, and miniaturization for deeper airway access—while expanding validation in airway-specific models.

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 Center (EKIK), Óbuda University, Budapest, Hungary.

The seminar was held on 29 May 2026 at the BARK/IROB Nagylabor, with both in‑person and online attendance via Google Meet. The event was hosted by Prof. Tamás Haidegger, Medical Robotics Lead at IROB.

This bilateral academic exchange was supported by the Ministry of Science and Technology of China (MOST) and Hungarian bilateral research projects, fostering international collaboration in medical robotics.

Seminar Talks

Prof. Hongliang Ren presented a talk titled “Endoluminal Robotics & Embodied AI in vivo,” highlighting recent advances in continuum robotics, motion perception, and intelligent image‑guided minimally invasive procedures. He discussed how procedure‑specific telerobotic systems with variable stiffness and context awareness can assist surgeons in performing dexterous manipulations.

Prof. Peter Kazanzides presented a talk titled “Augmented Reality for Robotic Surgery,” sharing his extensive experience from the development of the da Vinci Research Kit (dVRK) and clinical systems.

Speaker Bios

Prof. Hongliang Ren is a Professor at The Chinese University of Hong Kong. He received his Ph.D. from CUHK in 2008 and has held positions at Johns Hopkins University, Harvard Medical School, and National University of Singapore. He is a recipient of the National Science Fund for Distinguished Young Scholars (Scheme A), the CUHK Young Researcher Award, and over 30 other prestigious awards. He has published over 240 papers with more than 22,000 citations and an H‑index of 75, and has been consistently listed among the world’s top 2% most‑cited scientists.

Prof. Peter Kazanzides is a Research Professor of Computer Science at Johns Hopkins University. He received his Ph.D. in Electrical Engineering from Brown University in 1988. He co‑founded Integrated Surgical Systems, which commercialized the Robodoc System for hip and knee replacement surgeries performed on over 20,000 patients. He later joined JHU and contributed to the development of the da Vinci Research Kit (dVRK).

Audience and Discussion

The seminar attracted researchers and students from IROB and partner institutions. Both talks were followed by a joint Q&A session, where attendees discussed technical challenges in continuum robotics, augmented reality guidance, and clinical translation of robotic systems. The event concluded with informal discussions over refreshments, reinforcing the bilateral collaboration between Chinese and Hungarian research groups.

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 The Hong Kong Polytechnic University and Southeast University, with support from several engineering societies. Prof. Ren served on the Program Committee of the conference.

Keynote Lecture: Endoluminal Robotics & Embodied AI in vivo

On the morning of 22 May 2026, Prof. Ren presented a talk titled “Endoluminal Robotics & Embodied AI in vivo.” The lecture focused on recent developments in dexterous robotic motion generation and motion perception for intelligent image‑guided minimally invasive procedures.

Prof. Ren highlighted how procedure‑specific telerobotic surgical systems can assist surgeons in performing dexterous manipulations using continuum motion generation mechanisms with variable stiffness and context awareness. The talk addressed the opportunities and challenges brought by minimally invasive surgeries, particularly in surgical motion generation, motion understanding, and intelligent robotic manipulation.

Short Bio of Prof. Hongliang Ren

Prof. Ren received his Ph.D. in Electronic Engineering (Biomedical Engineering) from CUHK in 2008. He has held academic positions at Johns Hopkins University, Boston Children’s Hospital, Harvard Medical School, and the National University of Singapore. He is a recipient of the National Science Fund for Distinguished Young Scholars (Scheme A), the CUHK Young Researcher Award, and multiple best paper awards. He has been consistently listed among the world’s top 2% most‑cited scientists by Stanford University. He has published over 240 papers with more than 22,770 citations and an H‑index of 75.

Audience Engagement

The keynote session was attended by researchers, faculty members, and students from both online and offline venues. Prof. Ren’s talk was followed by a brief Q&A session, where the audience engaged in discussion on continuum robotics, embodied AI, and clinical translation of surgical robots.

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, AI‑driven imaging, and simulation.

The NVIDIA delegation included:

• P Dogra – Developer Ecosystems
• A Shapira – Developer Relationships
• Y Ji – Developer Relationships 

The meeting covered NVIDIA’s healthcare strategy and enabling technologies, including:

• Hardware acceleration for medical cloud and edge computing (H200, RTX 4000 series GPUs)
• NVIDIA Cosmos (world foundation model for healthcare) for synthetic surgical data generation and robot policy training
• Isaac Sim platform for rigid‑body physics simulation, sensor simulation, and full surgical procedure rehearsal

The CUHK and MRC teams shared their ongoing work in continuum robotics, endoscopic navigation, and autonomous laparoscopic control systems.

About the NVIDIA Healthcare and Life Sciences Team
The NVIDIA Healthcare and Life Sciences team applies AI, accelerated computing, and domain-specific software platforms to help advance innovation across healthcare and life sciences. Through platforms and tools such as NVIDIA Clara, BioNeMo, Parabricks, MONAI, and healthcare-focused generative AI microservices, NVIDIA supports workflows spanning drug discovery, medical imaging, genomics, healthcare robotics, MedTech, and digital health. Working with healthcare providers, biopharma companies, researchers, and ecosystem partners, the team helps organizations build, deploy, and scale AI-powered solutions that accelerate scientific discovery, improve operational efficiency, and support the development of next-generation healthcare technologies.

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 Treatment“. The forum gathered leading experts in control theory, biomedical engineering, and artificial intelligence to explore how modern intelligent systems are reshaping the future of healthcare.

Chaired by Prof. Guanglin Li of the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, the forum featured invited speakers (Profs. YT Zhang, Max QH Meng, L Meng, HL. Ren, HR. Li & Y Chen) sharing perspectives on how knowledge-driven models, data-driven methods, and intelligent control technologies can support the next generation of diagnosis, treatment, and clinical decision-making.

The forum’s central theme revolved around the integration of “knowledge-driven” and “data-driven” paradigms for intelligent diagnosis and treatment. Panelists deliberated on how cutting-edge technologies—including advanced AI theories, modern signal processing, and intelligent decision-making and feedback mechanisms—can be applied across the entire clinical workflow, ranging from model-based disease dynamic prediction and intelligent drug dosage regulation to personalized rehabilitation robots and closed-loop neuromodulation systems. This multi-disciplinary exchange aims to drive the transformation of diagnostic and therapeutic models from passive and static to active, dynamic, and closed-loop interventions.

Connecting Robotics Innovation with Intelligent Healthcare

Prof. Ren leads pioneering work in intelligent surgical robotics, soft continuum robots, and medical mechatronics, with a strong focus on translational biomedical engineering. His recent project, “Embodied Intelligence Systems for Fine Perception and Dexterous Manipulation in Flexible Endoscopy,” funded as a key national project, aims to develop perceptive, compliant, and intelligent surgical systems.

Following the talk, Prof. Ren received a Certificate of Appreciation from CCDC 2026 and was pictured with Forum Chair Prof. Guanglin Li.

Prof. Ren’s team’s developing miniature flexible robots capable of navigating narrow, tortuous lumen branches to perform multi-modal micro-biopsy and immune-sensing in the vicinity of small confined spaces.

The forum concluded with a forward-looking discussion on how the integration of AI, control theory, and robotics can address major clinical challenges, catalyze original technological breakthroughs, and provide strategic support for the development of intelligent healthcare system, bridging foundational robotics and mechatronics with clinical needs to create next-generation smart surgical systems.

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

• 16:00 – 17:00: Tour of the endoscopy unit and introduction to the center’s clinical work (Prof. Hu).
• 17:00 – 18:30: Research presentations from the CUHK group in the seminar room. Prof. Ren gave an overview of the group’s recent work, followed by talks from four lab members:
  – Wu Zhijie on a vision‑language‑action model for endoscopic assistance
  – Wang Erqi on 3D intelligent perception and navigation for endoscopic ultrasound
  – Wang Guankun on multimodal models applied to continuum robotics
  – Zhou Rulin on a model‑based autonomous control system for surgery
• 18:30 – 18:45: Summary and open discussion chaired by Prof. Hu and Prof. Ren.

The visit provided an opportunity to exchange perspectives on clinical needs and technical developments in endoscopy and continuum robotics.

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:

• Sub‑mm continuum robots
• Endoscopy systems
• Sensing technologies for medical applications

The visit provided an opportunity for technical exchange and discussion on future directions in medical robotics and minimally invasive devices.

Short bio of Prof. Guangzhong Yang

Prof. Guangzhong Yang received his Bachelor’s degree from Shanghai Jiao Tong University and his Ph.D. from Imperial College of Science, Technology and Medicine. He was a Principal Scientist at Royal Brompton Hospital London and later served as Lecturer, Reader, and Full Professor at Imperial College London, where he founded and directed the Hamlyn Centre for Robotic Surgery. He is currently Chair Professor and Founding Dean of the Institute of Medical Robotics at Shanghai Jiao Tong University. His research focuses on medical imaging, sensing, and robotics. He is a Fellow of the Royal Academy of Engineering, IEEE, IET, AIMBE, IAMBE, MICCAI, and CGI, a recipient of the Royal Society Research Merit Award, the Founding Editor of Science Robotics, and was awarded a CBE in the Queen’s 2017 New Year Honours for contributions to biomedical engineering.

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. Activities included:

• A tour of the Xiangya History Museum

• Introductory presentations from both sides on their recent work

Prof. Ren’s team: research on continuum robotics, medical robotics, and minimally invasive interventions
The Xiangya team: clinical perspectives from cardiology, GI surgery, nutrition, dermatology, gynecology, laboratory medicine, and mechanical engineering
Discussions on potential collaboration, including joint research platforms, clinical validation of robotic systems, and exchange programmes for postdocs and students.

About Xiangya School of Medicine

Xiangya School of Medicine, Central South University, traces its origins to Xiangya Medical College, which was founded in 1914. As one of China’s earliest modern medical education institutions and the country’s first Chinese-foreign cooperatively run medical school, Xiangya has played a major role in the development of Western medical education in China and once earned the reputation of “South Xiangya and North Peking Union.” Now part of Central South University in Changsha, Hunan, it comprises schools covering basic medicine, public health, nursing, stomatology, pharmacy, and life sciences, and is supported by major affiliated hospitals including Xiangya Hospital, the Second Xiangya Hospital, the Third Xiangya Hospital, and Xiangya Stomatological Hospital. The school offers comprehensive undergraduate, master’s, doctoral, and professional medical training programs, and is recognized for its strengths in clinical medicine, medical research, and healthcare delivery.