no code implementations • 3 Mar 2023 • Rongrong Liu, John M. Wandeto, Florent Nageotte, Philippe Zanne, Michel de Mathelin, Birgitta Dresp-Langley
This paper builds on our previous work by exploiting Artificial Intelligence to predict individual grip force variability in manual robot control.
no code implementations • 3 Jun 2021 • Birgitta Dresp-Langley, Rongrong Liu, John M. Wandeto
Individual grip force profiling of bimanual simulator task performance of experts and novices using a robotic control device designed for endoscopic surgery permits defining benchmark criteria that tell true expert task skills from the skills of novices or trainee surgeons.
no code implementations • 26 May 2021 • Jiachen Li, Yuan Lin, Rongrong Liu, Chiu Man Ho, Humphrey Shi
Segmentation-based scene text detection methods have been widely adopted for arbitrary-shaped text detection recently, since they make accurate pixel-level predictions on curved text instances and can facilitate real-time inference without time-consuming processing on anchors.