A demo of work accomplished by NTU-RRC surgical robotics team led by Prof.Louis Phee.
We endeavour to make surgical robots more agile and intelligent.
This project is accomplished in collaboration with EndoMaster. We provide
state-of-the-art minimally invasive surgery solutions towards gastrointestinal cancer removal and suturing.
This technology promises even smaller surgical trauma as compared to
the famous Da Vinci system
and results in a faster and safer revocery for the patients.
We have designed and fabricated a robust endoscopic suturing device and successfully conducted
the world's first live animal trial here in Singapore winning us
the 2019 Surgical Robot Challenge at Hamlyn Symposium and publish at International Congress of the European Association for Endoscopic Surgery .
The second round of animal trials are scheduled April-June 2020 with more novel features design for endoscopic surgeries that is going to take the world by storm!
We have a rather simple but robust system design that allow us to manipulate a pair of
⌀ 4.5mm robotic arms inside the human body while all other electronic components resides outside.
One of the biggest challenges in minially invasive surgery is that the robotic arms are
too small to mount any sensors on them. Hence, the operating surgeon has no feedback from the tissue.
We use a CNN-multi_LSTM hybrid architecture to realize haptic feedback by only accessing proximal-end sensory data.
Object detection and segmentation sometimes doesn't satisfy our needs when we need detailed movement information.
Optical flow (powered by deep learning) tells us what's moving and its respective velocity.
This is a new research to develp a hybrid network that leverages visual information as well as different sensory information at different frequency.
The video on the left demonstrate how we leverage object detection to identify polyp in real-time. The next step is removal and suturing up the wound.
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