Team presenting at ICARM2018

Our team members were presenting research publications and doing lab demos during IEEE ICARM 2018 (The IEEE International Conference on Advanced Robotics and Mechatronics).

 

authors title
Sri Sai Krishna Suraj Narapareddi, Vineeth Muppalla, Parita Sanghani and Hongliang Ren Comparative Study of Unsupervised Segmentation Algorithms for Delineating Glioblastoma Multiforme Tumour
Avi Srivastava, Hongliang Ren and Liang Qiu Preoperative-Image Guided Neurosurgical Navigation Procedures with Electromagnetic Tracking: An Effective Pipeline and A Cadaver Study
Abhishek Bamotra and Hongliang Ren Characterization and Fabrication of Novel Soft Compliant Robotic End-Effectors with Negative Pressure and Mechanical Advantages
Hritwick Banerjee, Oh Yao Wei Aaron, Bok Seng Yeow and Hongliang Ren Fabrication and Initial Cadaveric Trials of Bi-directional Soft Hydrogel Robotic Benders Aiming for Biocompatible Robot-Tissue Interactions
Shradha Singhvi and Hongliang Ren Comparative Study of Motion Recognition with Temporal Modelling of Electromyography for Thumb and Index Finger Movements aiming for Wearable Robotic Finger Exercises
Wenjun Xu and Hongliang Ren Human Palpation Behavior Modeling with Mixture Models: Towards Autonomous Robotic Palpation

Dr. Ren gave keynote talk at HCR/i-CREATe 2018

Dr. Ren gave a keynote talk at the 2nd Shanghai International Symposium on Human-Centered Robotics, HCR 2018, held together with the 12th international
Convention on Rehabilitation Engineering and Assistive Technology i-CREATe 2018. our lab abstract “Design of a Human-Centered Compliant and Flexible Transoral Robotic System“ has also been accepted for “Poster Presentation” at the conference.

Our undergraduates project on surgical robotics received 2 awards

Our undergraduates DCP project on surgical robotics received 2 awards: FoE 32nd Innovation & Research Award (IRA High Achievement) and NUS Outstanding Undergraduate Researcher (OUR) Prize.

Cai Jiayi, Catherine Cai Xinchen Krishna Ramachandra Seenivasan Lalithkumar Ren Hongliang (Advisor), Project: Image-guided minimally invasive robotic surgery, Faculty of Engineering Innovation & Research Award (High Achievement) & Outstanding Undergraduate Researcher Prize