Our Team projects Skull-bot and Magnetic Capsule won awards at EMedic Global 2021!
Silver Award: Skull-bot
Best Presentation Award: Skull-bot https://youtu.be/xrwjYkMsktA
Technical Challenge Award: Magnetic Capsule https://youtu.be/XxlTGHfyLeY
Our Team projects Skull-bot and Magnetic Capsule won awards at EMedic Global 2021!
Silver Award: Skull-bot
Best Presentation Award: Skull-bot https://youtu.be/xrwjYkMsktA
Technical Challenge Award: Magnetic Capsule https://youtu.be/XxlTGHfyLeY
Dr. Ren was invited to give 2 talks at 2021 ISMR (International Symposium on Medical Robotics) workshops
Talk 1: “Flexible Endoluminal Robotics with Minimal Invasiveness and Exposure” for workshop on “Model-based Design, Sensing, and Control of Continuum
Manipulators and Robotic Flexible Instruments“
Talk 2: “Multidimensional Sensing and Perception for Dexterous Medical Robotics” for workshop on “Sensing and Feedback in Dexterous Medical/Surgical Robotics” respectively:
Related webpages: http://www.ismr.gatech.edu/workshop-program
Dr. Ren was invited to give a keynote speech at the 2021 ICRA (International Conference on Robotics and Automation) RoPat workshop on ‘Robot-Assisted Systems for Medical Training’
Related webpage:
https://www.imperial.ac.uk/morph-lab/events/ropat21-icra-workshop/
Surgical motion generation and motion understanding towards augmented minimally invasive robotic procedures, Dr. Hongliang Ren
Abstract:
Minimally Invasive Surgeries emerging in modern medical treatment have brought new opportunities and challenges for procedure-specific surgical motion generation and the associated motion understanding, which are the foundation of intelligent robotic manipulation and guiding interventions. Image-guided robotic surgery is expected to increase the precision, flexibility, and repeatability of surgical procedures but poses challenges for medical training.
This talk will highlight some recent developments in dexterous robotic motion generation with motion understanding towards image-guided minimally invasive procedures. The procedure-specific telerobotic surgical systems can assist surgeons in performing dexterous manipulations using the master-slave console bilateral motion generation & mapping mechanism with variable stiffness.
Meanwhile, surgical motion understanding aims to learn from the multi-domain surgical perceptions and describe the semantic relationship between instruments and surgical region of interest. Automatically understanding the instrument motions in robotic surgery is crucial to enhance surgical outcomes, enable surgical camera automation, and facilitate surgical training. To that end, we generate the task-aware saliency maps and scanpath of the instruments beyond tracking and segmentation, similar to the surgeon’s visual perception, to get the priority focus on selected surgical instruments. Furthermore, generating a surgical report in robot-assisted surgery, together with surgical scene understanding, can play a significant role in document entry tasks, surgical training, and post-operative analysis.
Workshop video material (available at the workshop webpage): https://www.youtube.com/watch?v=rPSOs_ie-ZQ
Dr. Ren was invited to talk at 2021 ICEE workshop on Safeguarding Public Health During Infectious Disease Pandemics Using Medical Robotics, Wearable Technology, and AI.
Related webpages:
https://sites.google.com/ualberta.ca/2021-icee-workshop
Pilot Study of Trans-oral Robotics to Meet the Minimal Exposure Needs During Infectious Disease Pandemics, Dr. Hongliang Ren
Abstract: Swabbing tests have proved to be an effective method of diagnosis for a wide range of diseases. There are high risks of infection for surgeons during the face-to-face COVID-19 swab sampling due to the novel coronavirus’s infectivity. Teleoperated or self-administered swabs can mitigate potential occupational health hazards and reliance on healthcare workers during traditional swabbing procedures. We present some pilot studies on flexible transoral robotic approaches and mechanisms for swab sampling. One prospective robot comprises a flexible manipulator, an endoscope with a monitor, and a master device. A 3-prismatic-universal flexible parallel mechanism with 3 degrees of freedom (DOF) is used to realize the manipulator’s movements. The flexibility of the manipulator improves the safety of testees. Under the vision guidance from the endoscope, a master device can control the swab’s motion attached to the manipulator for sampling. We will also discuss other possible methods to apply closed kinematic chain theory to develop a self-administered viral swab to collect respiratory specimens. The proposed sensorized swab models utilizing hollow polypropylene tubes possess mechanical compliance, simple construction, and inexpensive components. These foldable telescopic structures with multiple kirigami cuts minimize components involved in the system as the characteristics are built directly into the material.
Congratulations to the following members for the papers accepted by ICRA2021 and presentations at pre-ICRA2021:
Menya Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery https://youtu.be/Eu-ryJ9OyTM
Godwin Chip-Less Wireless Sensing of Origami Structural Morphing under Various Mechanical Stimuli Using Home-Based Ink-Jet Printable Materials https://youtu.be/HXgW2S21OGI
Huxin Remote-Center-Of-Motion Recommendation Toward Brain Needle Intervention Using Deep Reinforcement Learning https://youtu.be/Py5Vw_hQryY
Bok Seng Origami-Inspired Snap-Through Bistability in Parallel and Curved Mechanisms through the Inflection of Degree Four Vertexes https://youtu.be/mCBPTVw5_kw
Changsheng A Miniature Manipulator with Variable Stiffness towards Minimally Invasive Transluminal Endoscopic Surgery https://youtu.be/b_zW9MHgG5g
Ruphan Multiphysics Simulation of Magnetically Actuated Robotic Origami Worms https://youtu.be/UCkLuhoN0ME
Congratulations to the following members for the papers accepted by ICRA2021 including 2 concurrently by RA-L:
Xiao et al Magnetically-Connected Modular Reconfigurable Mini-Robotic System with Bilateral Isokinematic Mapping and Fast On-Site Assembly towards Minimally Invasive Procedures https://youtu.be/V1N2OiN43vw (Talk) https://youtu.be/PNneXuRXgZI (Demo)
Menya Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery https://youtu.be/Eu-ryJ9OyTM
Godwin Chip-Less Wireless Sensing of Origami Structural Morphing under Various Mechanical Stimuli Using Home-Based Ink-Jet Printable Materials https://youtu.be/HXgW2S21OGI
Huxin Remote-Center-Of-Motion Recommendation Toward Brain Needle Intervention Using Deep Reinforcement Learning https://youtu.be/Py5Vw_hQryY
Bok Seng Origami-Inspired Snap-Through Bistability in Parallel and Curved Mechanisms through the Inflection of Degree Four Vertexes https://youtu.be/mCBPTVw5_kw
Changsheng A Miniature Manipulator with Variable Stiffness towards Minimally Invasive Transluminal Endoscopic Surgery https://youtu.be/b_zW9MHgG5g
Ruphan Multiphysics Simulation of Magnetically Actuated Robotic Origami Worms https://youtu.be/UCkLuhoN0ME
Congratulations to Kirthika, 2nd place winner, of the 2020 EMB Singapore Symposium student abstract competition!
Related webpages:
https://www.ieeesingapore.org/event/embs-symposium2020/
https://pacificyeah.wixsite.com/embcsg2020
Dr. Ren was invited to talk at IEEE EMB Singapore Symposium 2020 on Transluminal Robotics and Perception with Images.
Related webpages:
https://www.ieeesingapore.org/event/embs-symposium2020/
https://pacificyeah.wixsite.com/embcsg2020
1600 – 1615 Robotic Intervention Utilizing Bioengineering Based Therapeutic Methods
Ichiro Sakuma University of Tokyo
1615 – 1630 Augmented Reality for Orthopeadic Surgery
Jaesung Hong Daegu Gyeongbuk Institute of Science and Technology
1630 – 1645
Medical Robot Link Architecture Connected to Smart Cyber Operating Theater (SCOT)
Ken Masamune Tokyo Women’s Medical University
1645 – 1700
Transluminal Robotics with Delicate Continuum and Context Awareness
Hongliang Ren National University of Singapore
1700 – 1715
Robot-Assisted Interventions under Intra-Operative MRI-Based Guidance
Ka-Wai Kwok University of Hong Kong
1715 – 1730
Biomimetic Wrinkled MXene Pressure Sensors towards Collision-Aware Robots
Catherine Cai National University of Singapore
A seminar on ‘Skin-Interfaced Wearable Biosensors for Personalized Healthcare’ was given by Prof. Wei Gao of Caltech.
Abstract: The rising research interest in personalized medicine promises to revolutionize traditional medical practices. This presents a tremendous opportunity for developing wearable devices toward predictive analytics and treatment. In this talk, I will introduce our recent advances in developing fully-integrated skin-interfaced flexible biosensors for non-invasive molecular analysis. Such wearable biosensors can continuously, selectively, and accurately measure a wide spectrum of sweat analytes including metabolites, electrolytes, hormones, drugs, and other small molecules. These devices also allow us to gain real-time insight into the sweat secretion and gland physiology. The clinical value of our wearable sensing platforms is evaluated through multiple human studies involving both healthy and patient populations toward physiological monitoring, disease diagnosis, and drug monitoring. These wearable and flexible devices could open the door to a wide range of personalized monitoring, diagnostic, and therapeutic applications.
Biography: Wei Gao is an Assistant Professor of Medical Engineering in Division of Engineering and Applied Science at the California Institute of Technology. He received his Ph.D. in Chemical Engineering at University of California, San Diego in 2014 as a Jacobs Fellow and HHMI International Student Research Fellow. In 2014-2017, he was a postdoctoral fellow in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is a recipient of IEEE Sensor Council Technical Achievement Award, Sensors Young Investigator Award, MIT Technology Review 35 Innovators Under 35 (TR35) and ACS Young Investigator Award (Division of Inorganic Chemistry). His research interests include wearable devices, biosensors, flexible electronics, micro/nanorobotics and nanomedicine. For more information about Gao’s research, visit www.gao.caltech.edu/.