181 citations · 200 across the 5 of their papers we have counts for
5 papers
Spatiotemporal modeling of grip forces captures proficiency in manual robot control
Rongrong Liu, John M. Wandeto, Florent Nageotte +3
This paper builds on our previous work by exploiting Artificial Intelligence to predict individual grip force variability in manual robot control. Grip forces were recorded from va…
Making Sense of Complex Sensor Data Streams
Rongrong Liu, Birgitta Dresp-Langley
This concept paper draws from our previous research on individual grip force data collected from biosensors placed on specific anatomical locations in the dominant and non dominant…
Surgical task expertise detected by a self-organizing neural network map
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 benchm…
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review
Rongrong Liu, Florent Nageotte, Philippe Zanne +2
Deep learning has provided new ways of manipulating, processing and analyzing data. It sometimes may achieve results comparable to, or surpassing human expert performance, and has…
Wearable Sensors for Spatio-Temporal Grip Force Profiling
Rongrong Liu, Florent Nageotte, Philippe Zanne +2
Wearable biosensor technology enables real-time, convenient, and continuous monitoring of users behavioral signals. Such include signals relative to body motion, body temperature,…