57 citations · 67 across the 5 of their papers we have counts for
5 papers
A Disturbance in the Force: Force Actuation on the RAVEN II Surgical Robot with Parallel Motor-Cable Units
Haonan Peng, Dun-Tin Chiang, Jordan Hendricks +5
Difficulty in haptic feedback for surgical robots has been a long-term problem for decades. In recent years, learning-based force estimation from robot states suggests desirable ac…
Efficient Data-driven Joint-level Calibration of Cable-driven Surgical Robots
Haonan Peng, Andrew Lewis, Yun-Hsuan Su +5
Knowing accurate joint positions is crucial for safe and precise control of laparoscopic surgical robots, especially for the automation of surgical sub-tasks. These robots have oft…
Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation
Haonan Peng, Shan Lin, Daniel King +4
Accurate instrument segmentation in endoscopic vision of robot-assisted surgery is challenging due to reflection on the instruments and frequent contacts with tissue. Deep neural n…
Real-time Data Driven Precision Estimator for RAVEN-II Surgical Robot End Effector Position
Haonan Peng, Xingjian Yang, Yun-Hsuan Su +1
Surgical robots have been introduced to operating rooms over the past few decades due to their high sensitivity, small size, and remote controllability. The cable-driven nature of…
2017 Robotic Instrument Segmentation Challenge
Max Allan, Alex Shvets, Thomas Kurmann +16
In mainstream computer vision and machine learning, public datasets such as ImageNet, COCO and KITTI have helped drive enormous improvements by enabling researchers to understand t…